Research Report09 10

College of EngineeringResearch Report 2009-2010

UNIVERSITY OF ILLINOIS AT CHICAGO


COLLEGE OF ENGINEERING

RESEARCH REPORT

2009 – 2010

ii

Credits

Copy Editors: Sol Shatz, Johnette Foster, Dan Bailey

Graphics Support: Ron Fernandez, Ray Matthes, Engineering Media Services

Cover Photo: ―Cybercommons Classroom‖

Lance Long, Electronic Visualization Laboratory

Printing: UIC Office of Publications Services

iii



RESEARCH REPORT

2009 – 2010

Preface The UIC College of Engineering (www.engineering.uic.edu) is recognized for its academic excellence with

undergraduate and graduate programs in six academic departments: Bioengineering, Chemical Engineering, Civil

and Materials Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial

Engineering. The College has 2098 undergraduate students and 1011 graduate students. The graduate student

population breaks down as follows: 541 M.S., 431 Ph.D., 64 MEng (Master of Engineering), and 50 MEE (Master

of Energy Engineering). During 2009 – 2010 we produced 318 B.S. graduates, 178 M.S. graduates, 62 Ph.D.

graduates, 36 MEng graduates, and 15 MEE graduates.

The College of Engineering has 114 outstanding faculty including 18 women. 47 of our faculty are Fellows of

societies such as IEEE, ACM, ASME, AAAS, and ASCE; and 24 are recipients of National Science Foundation

CAREER awards or other Young Investigator awards.

The research programs in the UIC College of Engineering continue to grow rapidly and are conducted in all

academic departments and in specific interdisciplinary centers. Our college is actively involved in interdisciplinary

research in the areas of bio-technology, nano-technology, information technology, and infrastructure and

environmental technology. We are committed to performing and disseminating first-rate research that includes both

fundamental engineering scholarship and applied technologies.

During the 2009 – 2010 term of this report, our faculty members have been extremely productive in research. This

activity can be summarized by the following general statistics:

More than $22 million dollars in research expenditures

63 book and chapter publications

340 journal publications and 337 conference publications

62 PhDs awarded

This report provides a snap-shot view of our dynamic research, including specific information on multidisciplinary

research thrust areas and projects, research grants, scientific publications, PhD production, and research awards and

honors.

I invite you to visit our college and department websites to meet our fine faculty, learn about our academic and

support programs and explore the range of cutting-edge engineering research at the UIC College of Engineering.

Please feel free to direct any questions or comments about the college to my staff or me.

Warm regards and thank you for your interest.

Peter Nelson, Dean of Engineering

(Fall 2010)

v



Administration

Peter Nelson, Dean

Phone: (312) 996-2400; Fax: (312) 996-8664

E-Mail: [email protected]

Sol M. Shatz

Associate Dean for Research and Graduate Studies

Phone: (312) 355-3317; Fax: (312) 996-8664


Mike McNallan

Associate Dean for Undergraduate Administration

Phone: (312) 996-3463; Fax: (312) 413-3365


Piergiorgio L. E. Uslenghi

Associate Dean for International and Internet Programs

Phone: (312) 996-6059; Fax: (312) 996-8664


Sue Fullman

Visiting Associate Dean for Corporate Relations and

Career Center

Phone: (312) 996-5843: Fax: (312) 413-8664


Nick Gambardella

Associate Dean for Administration

Phone: (312) 413-9125; Fax: (312) 413-8664


Arnaud Buttin

Director for Advancement

Phone: (312) 413-1387; Fax: (312) 413-8664


Departments

Bioengineering Tom Royston, Interim Head

851 S. Morgan (MC 063)

Chicago, IL 60607

Phone: (312) 996-2331

Fax: (312) 996-5921

Email: [email protected]

Chemical Engineering Sohail Murad, Head

810 S. Clinton (MC 110)

Chicago, IL 60607

Phone: (312) 996-5993

Fax: (312) 996-0808


Civil and Materials Engineering Farhad Ansari, Head

842 W. Taylor (MC 246)

Chicago, IL 60607

Phone: (312) 996-3428

Fax: (312) 996-2426


Computer Science Robert Sloan, Head


Chicago, IL 60607

Phone: (312) 996-3422

Fax: (312) 413-0024


Electrical and Computer Engineering Mitra Dutta, Head


Chicago, IL 60607

Phone: (312) 996-3423

Fax: (312) 996-6465


Mechanical and Industrial Engineering Farzad Mashayek, Head

842 W. Taylor (MC 251)

Chicago, IL 60607

Phone: (312) 996-1154

Fax: (312) 413-0447


vi



Research Centers and Laboratories

Electronic Visualization Laboratory (EVL) Jason Leigh, Co-Director

842 W. Taylor, 2032 ERF (MC 152)

Chicago, IL 60607

Phone: (312) 996-3002


Website: www.evl.uic.edu

Energy Resources Center (ERC) John Cuttica, Director

1309 S. Halsted, Suite 205

Chicago, IL 60607

Phone: (312) 996-4382


Website: www.erc.uic.edu

Nanotechnology Core Facility (NCF) Vitali Metlushko, Director

842 W. Taylor, 3064 ERF (MC 251)

Chicago, IL 60607

Phone: (312) 413-7574


Website: www.ncf.uic.edu

Mobile Information Systems Center (MOBIS) Ouri Wolfson, Director

851 S. Morgan, 1137 SEO (MC 152)

Chicago, IL 60607

Phone: (312) 996-6770


Center for Smart Infrastructure Farhad Ansari, Director

842 W. Taylor, 2095 ERF (M/C 246)

Chicago, IL 60607

Phone: (312) 996-3428


Center for Research and Instruction in

Technologies for Electronic Security (RITES) Jon Solworth, Director

851 S. Morgan, 1120 SEO (MC 152)

Chicago, IL 60607

Phone: (312) 996-0955


Website: www.rites.uic.edu

Center for Integrated Networks of

Nanoscale Sensors for Biomedical

Applications Michael A. Stroscio, Director 851 S. Morgan, 808 SEO (MC 154)

Chicago, IL 60607

Phone: (312) 413-5968


Website: nanotechcenter.uic.edu

Center for Medical Simulation Pat Banerjee, Director

842 W. Taylor, 3029 ERF (MC 251)

Chicago, IL 60607

Phone: (312) 996-5599


Website: www.mie.uic.edu/MIE/ProfileBanerjee

vii



Advisory Board

CHAIRMAN OF THE BOARD

JOHN E. MAJOR, Mr. (John)

President, Founder

MTSG

Rancho Santa Fe, CA 92067

PRAKASH C. AGARWAL, Mr. (Prakash)

CEO, President, Co-Founder

iKoa Corporation

Menlo Park, CA 94025

PRITH BANERJEE, Dr. (Prith)

Senior Vice President of Research and Director, HP Labs

Worldwide

Hewlett Packard Company

Palo Alto, CA 94301

JOHN E. BANTA, Mr. (John)

CEO and Managing Director

IllinoisVentures, LLC

Chicago, IL 60606-2901

JOSEPH B. BARRETT, Mr. (Joe) Senior Director Business Development

Baxter Healthcare Corporation

Round Lake, IL 60073-9610

HARDIK BHATT, Mr. (Hardik)

Chief Information Officer

Innovation and Technology (DoIT)

City of Chicago Chicago, IL 60602

CHRISTOPHER B. BURKE, Mr. (Chris)

President and CEO

Christopher Burke Engineering, Ltd.

Rosemont, IL 60018

MIHAI CARATAS, Mr. (Mihai)

Technical Consultant

Global Engineering Services

Technical Center of Excellence

Abbott Laboratories

Abbott Park, IL 60064-6212

DENNIS DEMOSS, Mr. (Dennis)

Senior Vice President

Sargent & Lundy

Chicago, IL 60603

PHILIP GILCHRIST, Mr. (Phil)

Vice President of Converged Computing

Motorola, Inc.

Libertyville, IL 60048

ROBERT HAMILTON, JR, Mr. (Bob)

President

ITW Automotive Components

Safety and Motion Products

Barrington, IL 60010

PHIL HANEGRAAF, Mr.

Vice President

HNTB Corporation

Chicago, IL 60606

JOHN HARDIN, Mr. (John)

President & Chief Operating Officer

LA-CO Industries, Inc.

Elk Grove Village, IL 60007

ROBERT HAUCK, Mr. (Bob)

Global General Manager,

Office of the Chief Engineer

GE Healthcare

Waukesha, WI 53188

RICHARD S. HILL, Mr. (Rick)

Chairman and CEO

Novellus Systems, Inc.

San Jose, CA 95134-1568

AUDRONE KARALIUS, Mrs. (Audra)

Vice President,

Sustainability, Environment and Safety

Sara Lee Corporation

Downers Grove, IL 60515-5424

MUTHIAH KASI, Mr. (Kasi)

COO and Executive Vice President

Alfred Benesch & Company

Chicago, IL 60601

viii

Advisory Board Continued

TONY KOBRINETZ

Vice President, Technology and Operations

PCTEL

Bloomingdale, IL 60108


RICHARD LASKO (Rick), Mr.

Cost Manager,

Lower Powertrain Business Unit

Advanced Systems Division

Caterpillar Inc.

Aurora, IL 60507

AMREESH MODI, Mr.

Executive Vice President and

Chief Technology Officer

NAVTEQ Corporaton

Chicago, IL 60606

RAFIQ MOHAMMADI, Mr. (Rafiq)

Chief Technology Officer

Autonomy iManage (formerly Interwoven)

Chicago, IL 60601


GLENN NELAND, Mr. (Glenn)

Former Sr VP, Dell, Worldwide Procurement &

Global Customer Experience

Austin, TX 78735-1613

KENNETH E. NELSON, Mr. (Ken)

CEO/Chairman of the Board

Clark Dietz, Inc.


DIANE O’KEEFE, Ms. (Diane)

District One Regional Engineer, IDOT

Illinois Department of Transportation

Schaumburg, IL 60196

RAFAELE PINI, Mr. (Ralph)

President and CEO

Paratek Microwaves, Inc.

22 Technology Way, 5th

Floor

LEI ZHANG SCHLITZ, Dr. (Lei)

Vice President, Research & Development

Illinois Tool Works, Inc.

ITW Tech Center

Glenview, IL 60025

MARK P. SLIVINSKI, Mr. (Mark)

Strategy Lead, Advanced Security Systems

Raytheon Missile Systems

Tucson, AZ 85706

DAVID TAYLOR, Mr. (Dave)

Mgr., Global Engineering Assurance, Global

Engineering Division, GES Training

Abbott Laboratories

Abbott Park, IL 60064

WILLIAM D. UNGER, Mr. (Bill)

Partner Emeritus

Mayfield

Menlo Park, CA 94025-5206

DENNIS D. VACCARO, Dr. (Dennis)

Senior Technical Advisor

Northrop Grumman Corp.

Rolling Meadows, IL 60008-1098

PETER L. WEXLER, Mr. (Peter)

Vice President of Engineering

Spidercloud Wireless, Inc.

(Formerly, Copivia)

Santa Clara, CA 95054

WILLIAM O. WHITE, Mr. (Bill)

Vice President, Advanced Technology

USG Building Systems


BRUCE SCOTT WIDMANN, Mr. (Bruce)

Consulting Engineer

Northrop Grumman Corp.

Electronic Systems Sector

Rolling Meadows, IL 60008

DAVID ZAVATTERO, Mr. (David)

Deputy Director,

IT & Planning and Traffic Engineering

Chicago Department of Transportation Chicago, IL 60602

mailto:[email protected]

1

Table of Contents

MULTIDISCIPLINARY RESEARCH THRUST AREAS 2

BIOTECHNOLOGY 3

MATERIALS AND NANO-TECHNOLOGY 25

COMPUTING AND INFORMATION TECHNOLOGY 44

INFRASTRUCTURE AND ENERGY/ENVIRONMENTAL TECHNOLOGY 82

RESEARCH GRANTS BIOENGINEERING 106

CHEMICAL ENGINEERING 108

CIVIL AND MATERIALS ENGINEERING 109

COMPUTER SCIENCE 111

ELECTRICAL AND COMPUTER ENGINEERING 114

MECHANICAL AND INDUSTRIAL ENGINEERING 117

RESEARCH PUBLICATIONS

Book and Chapter Publications BIOENGINEERING 121






Journal Publications BIOENGINEERING 127






Conference Publications BIOENGINEERING 151






PhD GRADUATES BIOENGINEERING 174






FACULTY AWARDS AND HONORS BIOENGINEERING 180






2

MULTIDISCIPLINARY RESEARCH THRUST AREAS

Research in the College of Engineering is undertaken in 6 departments. While each of the

departments has its own research strengths, there is a college-wide focus on the following four

research thrust areas:

BioTechnology

Materials and Nano-Technology

Computing and Information Technology

Infrastructure and Energy/Environmental Technology

The following pages provide a quick view of some of the key research projects associated with

these thrust areas. Each project is presented in the form of a ―quad-chart‖ that highlights the

project‘s motivation, technical approach, and key achievements. For a full, interactive view of

current quad-charts organized by thrust area and by academic department, visit the College of

Engineering‘s research web page at the following URL:

www.engineering.uic.edu/COE/Research

3

BIOTECHNOLOGY

Research projects in BioTechnology include activities such as neural engineering, tissue

engineering, and bioinformatics. This research thrust area is populated by faculty from many

departments, including bioengineering, chemical engineering, computer science, electrical and

computer engineering, and mechanical and industrial engineering.

For an on-line view of the quad-charts in the BioTechnology area, visit the College of

Engineering‘s research web page at the following URL:

www.engineering.uic.edu/COE/ResearchThrustAreas

UIC College of Engineering Research Report 2009–2010

4

Transport of Small Molecules across Model Lipid Membrane

with Embedded Outer Membrane Proteins A (OmpA)Investigators: Huajun Yuan, Cynthia Jameson, Sohail Murad, Chemical Engineering Department

Primary Grant Support: US Department of Energy

Problem Statement and Motivation

Technical Approach Key Achievements and Future Goals

• Explore small molecules transport through

membranes, to better understand a range of

biological processes essential for life itself.

• Compare transport process of different gases.

• Compare gas permeability across different lipid

membranes.

• Develop an effective coarse-grained model to

simulate gas transport across a model membrane

with embedded OmpA protein channel.

• Validate model/method by comparing with

atomistic simulations and experimental results.

• Compare transport of different gases across pure

lipid membranes and lipid membranes embedded

with OmpA.

• Predict behavior not studied experimentally.

Model Lipid Membrane with embedded

OmpA Protein Channel

• Simulated water channels with open and closed

OmpA channels.

• Compared gas permeation with and without OmpA.

• Validated simulation results with experimental

measurements on gas permeation.

DRUG DELIVERY

Catheter Cortex

LargeLarge--scale Fluid Structure Interaction Modeling of the Human Brainscale Fluid Structure Interaction Modeling of the Human BrainLaboratory for Product and Process DesignLaboratory for Product and Process Design, Director A. A. LINNINGER

College of Engineering, University of Illinois,

Chicago, IL, 60607, U.S.A.

Prime Grand Support: NSF, Susman and Asher Foundation

Key Achievements

• 3D geometric reconstruction of patient-specific brain dimensions based on MRI data

• 3D patient-specific dynamic analysis of CSF flow in the human brain

Future Goals

• Optimal Drug Delivery to the Human Brain.

• Feedback control systems to better treat Hydrocephalus.

TECHNICAL APPROACH: MOVING GRID CODE

Novel Moving

Grid Code

+ FLUENT

MR

Imaging

Image

Reconstruction

Grid

GenerationSolvers

Post –

Processing

HYDROCEPHALUS

Live patient MRI Computer Simulation

• Data from Magnetic Resonance Imaging.

• Use of MRI reconstruction tools for generation of 3D patient specific brain geometry.

• Introduction of the geometry to Finite Volumes or Finite Elements advanced solvers.

• Post processing of the obtained results.

Problem Statement

• Prediction of large deformations of the brain

parenchyma based on Fluid-Structure Interaction modeling.

• Coupling of the brain parenchyma, vascular and ventricular system in the human brain.

Motivation

• The therapeutic approach for hydrocephalus

treatment is very brutal (shunting) and many revisions are needed.

• Ultimate goal: precise model of human brain dynamics to design treatments without in vivo test.

3-D model of the ventricular system

and half of the subarachnoid space.

3-D model of the solid brain

(white and gray matter).

Velocity magnitude (m/sec)

Vascular System (I)Vascular System (I)

Parenchyma (II)Parenchyma (II)

Ventricular System (III)Ventricular System (III)

Vascular System (I)Vascular System (I)

Parenchyma (II)Parenchyma (II)

Ventricular System (III)Ventricular System (III)

Biotechnology

5

Neuro-Machine InterfacesJames Patton, Ph.D., UIC BioEngineering and The Rehabilitation Institute of Chicago (RIC)

Grant Support: NIH, Department of Education (NIDRR), American Heart Association


New technology and understanding has led to new possibilities in exploring the control of movement:

• Robotics and Haptics (artificial rendering of touch)

• Human machine interface

• Neural adaptation and Sensory-motor intelligence

• Robotic Teaching

• Augmented reality

• Rehabilitation of stroke patients

• Bimanual coordination

• Postural control

• Hand-eye coordination

Technical Approach

• Measure forces, motions, and muscle activity while individuals attempt to move in different activities

• Robotic devices can follow along, assist, perturb, or perform otherwise unrealizable forces and torques during movement

• Enhancement of the feedback through error augmentation

• Altering the mechanical world using robotics

• Altering the visual world using virtual environment technology

• Repetitive practice and rehabilitation of stroke patients, in the presence of specialized forces and visual feedback designed by the computer

Key Achievements and Goals

• Understanding of the nervous system and how to approximate sensory-motor interactions with a computer model

• Several training techniques that improve hand-eye coordination

• Restoration of function in survivors of stroke

• Human machine operator training that enhance the motor learning process

• Faster and better learning of tasks

• Understanding the learning related to multiple types of interfaces with the nervous system – physical, sensory, and electrophysiological

Computational Fluid Dynamics of FerrofluidsLewis E. Wedgewood, Chemical Engineering Department

Prime Grant Support: National Science Foundation, 3M Company



• Establish The Mechanical Properties And

Microstructure of Ferrofluids Under Flow Conditions

• Use Ferrofluids To Test New Theories Of Complex

Fluids And The Relation Between Mircostructure And

Flow Behavior

• Use The Resulting Models And Understanding To

Develop Improved Ferrofluids And New Applications

Such Targeted Drug Delivery

• Brownian Dynamics Simulations For Spherical And

Slender Particles Is Used To Model The Microstructure

Of Ferrofluids

• LaGrange Multiplier Method Used To Satisfy Local

Magnetic Field Effects

• Computer Animation And Statistical Analysis To

Characterize Particle Dynamics

• Continuum Theory And Hindered Rotation Models To

Model Mechanical Behavior

• Improved Understanding Of The Behavior Of

Ferrofluids Near Solid Boundaries And The Application

Of Boundary Conditions

• Established Relation Between Applied Magnetic Fields

And Ferrofluid Microstructure

• Development Of Constitutive Relations Suitable For

Design Of New Applications

• Verification Of Hindered Rotation Theory And The

Transport Of Angular Momentum In Complex Fluids

H yH e

Brownian

Dynamics

Simulation of

a Ferrofluid

in Shear


6

Integrating Nanostructures with Biological StructuresInvestigators: M. Stroscio, ECE and BioE; M. Dutta, ECE

Prime Grant Support: ARO, NSF, AFOSR, SRC, DARPA, DHS



• Coupling manmade nanostructures with biological

structures to monitor and control biological

processes.

• For underlying concepts see Biological

Nanostructures and Applications of Nanostructures

in Biology: Electrical, Mechanical, & Optical

Properties, edited by Michael A. Stroscio and Mitra

Dutta (Kluwer, New York, 2004).

• Synthesis of nanostructures

• Binding nanostructures to manmade structures

• Modeling electrical, optical and mechanical

properties of nanostructures

• Experimental characterization of intergated manmade

nanostructure-biological structures

• Numerous manmade nanostructures have been

functionalized with biomolecules

• Nanostructure-biomolecule complexes have been used

to study a variety of biological structures including cells

• Interactions between nanostructures with biomolecules

and with biological environments have been modeled for

a wide variety of systems

• Ultimate goal is controlling biological systems at the

nanoscale

First Responder Pathogen Detection System (FiRPaDS) Investigator: Bhaskar DasGupta, Computer Science, UIC with other investigators outside UIC

Prime Grant Support: NSF CAREER IIS-0643973 and DBI-0543365



• Need to identify unknown virus sequences during

events such as epidemic or biological warfare

• We only have a database of known virus sequences

• Few complications of the real-world problem:

• Sequence has mutated (possibly maliciously)

• Impossibility to obtain entire DNA sequence

• Sample may be contaminated and/or contains

mixture of sequences.

• Rapid amplification of the collected genetic material,

e.g., via degenerate oligonucleotide primer based

multiplex PCR

• A pathogen fingerprinting and/or barcoding component

built around universal DNA tag arrays

• Rapid and robust computational procedures to compute

barcodes that produces short signatures of sequences

• Two possible approaches to design FiRPaDS:

• Target based FiRPaDS

• Primer based FiRPaDS

• Developed efficient barcoding algorithms using

combinatorial techniques

Software available from http://www.cs.uic.edu/~dasgupta/professional/software.html

• Will extend barcoding approaches for more complicated

scenarios such as mixture of samples

• Will generate an efficient solution for a combinatorial or

graph-theoretic formulation for the degenerate

multiplexed PCR minimization problem

• Will investigate applications of universal DNA tag arrays

for helpful coordination with barcoding or fingerprinting

steps

Biotechnology

7

Virtual Reality and Robots in Stroke RecoveryInvestigators: Robert V. Kenyon, Computer Science; James L. Patton, RIC

Prime Grant Support: NIH, NIDRR

Mission: Mission:

To evaluate the utility of simple robotic To evaluate the utility of simple robotic

devices for providing rehabilitation devices for providing rehabilitation

therapy after hemispheric stroke. The therapy after hemispheric stroke. The

integration of virtual reality and robot integration of virtual reality and robot

technology increases flexibility in technology increases flexibility in

training for patients recovering from training for patients recovering from

stroke. Promoting innovative stroke. Promoting innovative

techniques to train the nervous system techniques to train the nervous system

for the recovery of functional for the recovery of functional

movement.movement.

Technical Approach:Technical Approach: Key Achievements and Future Goals:Key Achievements and Future Goals:

• Personal Augmented Reality Immersive System (PARIS):

•Virtual and physical objects seen by user.

• Robotic systems: PHANToM, Haptic Master, WAM:

•These back-drivable robots provide force to the subject only when commanded to do so.

• Software integration:

•Real-time interactivity requires rapid communication

between the different components of the rehabilitation

system and must contain consistent representations of what the user should feel and see.

•The robot’s control must quickly communicate with the

display control so that graphics are synchronized with the robot’s state.

•This system provides a platform for exploring how

the nervous system controls movements, teaches

new movements, explores novel strategies for

training and rehabilitation, assesses and tracks

functional recovery, and tests and challenges existing theories of rehabilitation.

•Such a system will determine the necessary levels

of quality for future design cycles and related

technology.

•Future designs will lead the way to new modes of

clinical practice and to the commercialization of

such systems.

PROJECT:PROJECT:

Development Of A Development Of A

Robotic System Robotic System

With An With An

Augmented Reality Augmented Reality

Interface For Interface For

Rehabilitation Of Rehabilitation Of

Brain Injured Brain Injured

IndividualsIndividuals

Multimode Sonic & Ultrasonic Diagnostic ImagingInvestigators: Thomas J. Royston & Francis Loth, Mechanical & Industrial Engineering

Prime Grant Support: NIH



• Ultrasonic (US) imaging provides detailed geometry

• Geometric changes may indicate disease or injury

• Sonic imaging provides unique functional information

• Sounds associated with disease are sonic, not US

• Merge US and Sonics to harness strengths of each

• Initial application: peripheral vascular pathologies –vessel constrictions (plaque and intimal hyperplasia)

• Sonic wave propagation

in biological tissue is more

complex than US.

• Requires new acoustic

modeling developments

• Inverse modeling to

extract acoustic image from

array

• Novel acoustic sensor

development

• Prototype US/Sonic system has been developed

- conventional US system retrofitted with

- electromagnetic position device for true 3D imaging

- acoustic sensor array pad that is transparent to US

so US imaging can be conducted with the pad in place

• Calibration of system on phantom models in progress

• Turbulence imaged downstream of vessel constriction

• Future plans: Human subject studies, improved

prototype, better sensor array, improved imaging

software

Prototype 15 sensor sonic

array pad on arm

• Merging multiple imaging modalities on same platform

Biomedical & Biotechnology

Artery

Approximate location

of constriction

Noise generation

Fluid

flow

Bimodal image.

Blood vessel with constriction in soft tissue phantom

Grayscale of geometry from US imaging

Color overlay of acoustic field generated by turbulence

downstream of the constriction


8

Biomimetic MEMS Technology for a Novel Retinal ProsthesisPI: Laxman Saggere, Mechanical and Industrial Engineering

Collaborator: David Schneeweis, BioEngineering

Prime Grant Support: National Science Foundation



• Motivation: Photoreceptor degeneration in diseases such as

ARMD and RP is the leading cause of blindness in the world. No

cures or therapies are available for these diseases, but a retinal-

based prosthesis offers a promising treatment option. Most

current retinal prostheses rely on the concept of electrical

stimulation of neurons, which is conceptually simple, but faced

with many challenges

• Objective: To develop a biomimetic technology enabling a

fundamentally different and technically superior approach to a

retinal prosthesis. This approach, in principle, mimics a natural

photoreceptor‟s function of transducing visual stimuli into

chemical signals that stimulate the surviving retinal neurons.

• Approach: A microdispenser unit integrated with a miniaturized

solar cell and a thin-film piezo actuator on one side and several

micron-scale ports on the other side contains liquid chemical

(neurotransmitter). An array of such microdispenser units

constitutes the core of a prosthesis.

• Principle of Operation: Light falling on the retina irradiates the

solar cell, which generates voltage across the piezo actuator. The

actuator pressurizes the liquid and dispenses it through the micro

ports. The liquid diffuses through micro-capillaries in a soft

encapsulation and stimulates retinal cells.

• Technologies: MEMS, microfluidics, thin-film piezoelectric

actuators, solid-sate solar cells, chemical cellular signaling.

• Challenges: i) Low intensity light at the retina; ii) Integration of

array components and microfluidics; iii) Chemical dispensing rate,

mechanism, long-term operation; iv) Biocompatible packaging.

• Key Achievements: i) Completed preliminary system design and

established the concept feasibility; ii) Established a technique to

chemically stimulate neuronal cells and record the cellular

response; iii) Fabricated and characterized the light powered

actuator; iv) Established techniques to quantify nanoliter flow

• Future Goals: i) To fabricate and test an in-vitro proof of the

concept device; ii) To lead the technology developed towards

clinical relevancy through interdisciplinary collaborations with

neuroscientists and retina specialists.

MIE – Biotechnology and Micro/Nano Emphasis Areas

Array of light-powered

microactutor prototypes

Neurotronic Communication: Electronic Prostheses

To Treat Degenerative Eye DiseaseInvestigators: John R. Hetling, Bioengineering

Prime Grant Support: The Whitaker Foundation



• Retinitis Pigmentosa (RP) is a potentially blinding

disease for which there are no cures; one in 4000

people are diagnosed with RP

• Microelectronic prostheses represent a potential

treatment option for RP

• Our objective is to learn to stimulate the diseased

retina with microelectrodes such that useful information

is conveyed to the mind‟s eye of the blind patient

• The response of the retina to electrical stimulation is

studied in vivo

• Microelectrode arrays, 12 um thick (above, right), are

fabricated in the UIC MAL and surgically placed beneath

the retina in the eye (above, left)

• The response of the retina to electrical stimulation is

recorded and compared to the response to natural light

stimuli

• We use a unique transgenic rat model of retinal

degenerative disease developed in our laboratory

• This novel approach is the only means to study

electrical stimulation of the retina at the cellular level, in

vivo, in a clinically-relevant animal model

• Using pharmacological dissection, we have begun to

identify the types of retinal neurons targeted by electrical

stimulation

• Ultimate Goal: To communicate the visual scene to

the diseased retina with the highest resolution possible

• The Goal will be achieved by optimizing the design of

the microelectrode array and the stimulus parameters

A

EB

C

D

F

A

EB

C

D

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Biotechnology

9

Microscopic Magnetic Resonance ElastographyInvestigators: Richard L. Magin, Bioengineering; Shadi F. Othman, Bioengineering; Thomas J.

Royston, Mechanical and Industrial Engineering

Prime Grant Support: NIH R21 EB004885-01



• Disease changes the mechanical properties of tissues

• Palpation by physician requires physical contact

• Propose a noninvasive way (MRI) to measure the

stiffness of biological tissues (elastography)

• Use the elastography system to measure the

mechanical properties of regenerating tissue

• Extend the technique to high magnetic field systems to

allow micoroscopic resolution

• Generate shear waves in the tissue

• Apply magnetic resonance imaging (MRI) to capture

shear wave motion

• Measure the shear wavelength through the sample

• Convert the shear wavelength to shear stiffness

• Improving elastography resolution to 34 m x 34 m for a 500 m slice

• Monitoring the growth of osteogenic tissue engineered

constructs

• Applying high resolution microelatography in vivo

Three dimensional shear wave through agarose gel

Biological Signal Detection for Protein Function PredictionInvestigators: Yang Dai

Prime Grant Support: NSF



• High-throughput experiments generate new protein

sequences with unknown function prediction

•In silico protein function prediction is in need

•Protein subcellular localization is a key element in

understanding function

•Such a prediction can be made based on protein

sequences with machine learners

•Feature extraction and scalability of learner are keys.

• Use Fast Fourier Transform to capture long range

correlation in protein sequence

• Design a class of new kernels to capture subtle

similarity between sequences

•Use domains and motifs of proteins as coding vectors

•Use multi-classification system based on deterministic

machine learning approach, such as support vector

machine

• Use Bayesian probabilistic model

•Developed highly sophisticated sequence coding

methods

•Developed an integrated multi-classification system for

protein subcellular localization

•Developed a preliminary multi-classification system for

subnuclear localization

• Will incorporate various knowledge from other

databases into the current framework

• Will design an integrative system for protein function

prediction based on information of protein localizations,

gene expression, and protein-protein interactions

Sequences

specific subcellular

and subnuclear localization

MASVQLY ... …HKEPGV

Machine Learner

Text File of

Protein

descriptionCoding

Vectors

Coding

Vectors


10

Computational Protein Topographics for Health Improvement Jie Liang, Ph.D. Bioengineering

Prime Grant Support: National Science Foundation Career Award, National Institutes of Health R01,

Office of Naval Research, and the Whitaker Foundation.Problem Statement and Motivation

Key Achievements and Future Goals

• The structure of proteins provide rich information about

how cells work. With the success of structural genomics,

soon we will have all human proteins mapped to

structures.

• However, we need to develop computational tools to

extract information from these structures to understand

how cell works and how new diseases can be treated.

•Therefore, the development of computational tools for

surface matching and for function prediction will open the door for many new development for health improvement.

• We have developed a web server CASTP (cast.engr.

uic.edu) that identify and measures protein surfaces. It

has been used by thousands of scientists world wide.

• We have built a protein surface library for >10,000

proteins, and have developed models to characterize

cross reactivities of enzymes.

• We also developed methods for designing phage library

for discovery of peptide drugs.

• We have developed methods for predicting structures

of beta-barrel membrane proteins.

• Future: Understand how protein fold and assemble, and

designing method for engineering better proteins and

drugs.

Technical Approach

• We use geometric models and fast algorithm to

characterize surface properties of over thirty protein

structures.

• We develop evolutionary models to understand how

proteins overall evolve to acquire different functions

using different combination of surface textures.

• Efficient search methods and statistical models allow us

to identify very similar surfaces on totally different

proteins

• Probablistc models and sampling techniques help us to

understand how protein works to perform their functions.

Evolution of

function

Protein surface matching

Structural Bioinformatics Study of Protein Interaction NetworkInvestigators: Hui Lu, Bioengineering

Prime Grant Support: NIH, DOL



• Protein interacts with other biomolecules to perform a

function: DNA/RNA, ligands, drugs, membranes, and other

proteins.

• A high accuracy prediction of the protein interaction

network will provide a global understanding of gene

regulation, protein function annotation, and the signaling

process.

• The understanding and computation of protein-ligand

binding have direct impact on drug design.

• Data mining protein structures

• Molecular Dynamics and Monte Carlo simulations

• Machine learning

• Phylogenetic analysis of interaction networks

• Gene expression data analysis using clustering

• Binding affinity calculation using statistical physics

• Developed the DNA binding protein and binding site

prediction protocols that have the best accuracy

available.

• Developed transcription factor binding site prediction.

• Developed the only protocol that predicts the protein

membrane binding behavior.

• Will work on drug design based on structural binding.

• Will work on the signaling protein binding mechanism.

• Will build complete protein-DNA interaction prediction

package and a Web server.

Protein-DNA complex:

gene regulation

DNA repair

cancer treatment

drug design

gene therapy

Biotechnology

11

Uncovering the mechanism of reversible membrane bindingInvestigators: Hui Lu, Ph.D., Bioengineering

Primary Grant Support: Chicago Biomedical Consortium, NIH


Technical Approach


• To efficiently function, cells need to respond properly to external physical and physical and chemical signals in their environment.

• Identifying disease states and designing drugs require a detailed understanding of the internal signaling networks that are activated in responses to external stimuli.

• In the center of these process is a particular group of protein that translocate to the cell membrane upon external activation.

• Combine machine learning techniques with characterization of the protein surface to identify unknown membrane binding proteins.

• Atomic scale molecular dynamics simulation of the interactions between proteins and membranes

• Mathematical modeling is used for studying the spatial and dynamic evolution of the signal transduction networks within the cell when changes in the external environment occurs.

• Developed highly accurate prediction protocols for identifying novel cases of membrane binding proteins, based on properties calculated from molecular surface of the protein structure.

• Determining membrane binding of properties of C2 domains in response to changes in ion placements and membrane lipid composition.

• Goal: To model the network dynamics to understand how changes in membrane binding properties of certain domains changes the efficiency of signal transduction in the cell.

Machine learning and Datamining in Biomedical InformaticsInvestigators: Hui Lu, Ph.D., Robert Ezra Langlois, Ph.D.,Bioengineering;

Grant Support: NIH, Bioinformatics online



• Massive amount of biomedical data are available

from high-throughput measurement, such as

genome sequence, proteomics, biological pathway,

networks, and disease data.

• Data processing become the bottleneck of

biological discovery and medical analysis

• Problem: Protein function prediction, protein

functional sites prediction, protein interaction

prediction, disease network prediction, biomarker discovery.

• Formulate the problem in classification problem

• Derive features to represent biological objects

• Develop various classification algorithms

• Develop multiple-instance boosting algorithms

• Developed machine learning algorithms for

protein-DNA, protein-membrane, protein

structure prediction, disease causing SNP

prediction, mass-spec data processing, DNA

methylation prediction.

• Developed an open-source machine learning

software MALIBU

• Goal: Biological network analysis and

prediction.


12

Design principle of Protein’s Mechanical Resistance Investigator: Hui Lu, Ph.D., Bioengineering,

Collaborators: Julio Fernandez (Columbia University), Hongbin Li (U of British Columbia)



• Mechanical signals play key role in physiological

processes by controlling protein conformational changes

• Uncover design principles of mechanical protein stability

• Relationship between protein structure and mechanical

response; Deterministic design of proteins

• Atomic level of understanding is needed from biological

understanding and protein design principles

• All-atom computational simulation for protein

conformational changes – Steered Molecular Dynamics

• Free energy reconstruction from non-equilibrium protein

unfolding trajectories

• Force partition calculation for mechanical load analysis

• Modeling solvent-protein interactions for different

molecules

• Coarse-grained model with Molecular dynamics and

Monte Carlo simulations

• Identified key force-bearing patch that controlled the

mechanical stability of proteins.

• Discovered a novel pathway switch mechanism for

tuning protein mechanical properties.

• Calculated how different solvent affect protein’s

mechanical resistance.

• Goal: Computationally design protein molecules with

specific mechanical properties for bio-signaling and bio-

materials

Carcinogenic Potential of Wireless Communication RadiationInvestigators: James C. Lin, PhD, Electrical and Computer Engineering; and Bioengineering

Prime Grant Support: Magnetic Health Science Foundation



• Wide Spread Use of Cell Phone Technology

• Concerns about Health and Safety

• Plectin is A High Molecular Weight Protein

• Plectin Immunoreactivity Follows Brain Injury

• Mutation of Plectin Identified With Signs of

Neurodegenerative Disorder

• Irradiate Young Adult Rats (300 g) in Plexiglass Holder

• Produce Power Deposition Patterns in Rat Brains

Comparable to Those in Humans

• Brains Were Removed and Incubated

• Floating Sections Were Used for Immunocytochemistry

• Use Monoclonal Antibody - plectin - Labeling

• Examination by Light Microscopy

• Immunolabeling of Irradiated Rat Brain Showed

Increased Glial Fibrillary Acidic Protein

(IFAP)

• GFAP Plays An Important Role in Glial Reactions After

Lesions

• Preliminary Results Indicate There is No Difference in

Expression Pattern of Plectin Among the

Brains Tested at Peak SAR levels of 0, 1.6

and 16 W/kg in the brain.

• Additional Experiments to Establish Statistical Validity

Immunolabeling of Irradiated Rat Brain

Using Monoclonal Antibody, Pletin.

Biotechnology

13

Neural Engineering for Stroke Recovery Patrick J. Rousche, Ph.D. Bioengineering, and co-PI James Patton, Ph.D.

Prime Grant Support: National Science Foundation Career Award and National Institutes of Health



• The complex neural tissue of the brain is the source or

destination for almost all motor and sensory information

in the human body

• Injury to the brain from stroke is debilitating and

clinicians have few therapeutic treatments to pursue

• Neural Engineers are well-positioned to learn more

about brain organization and function - multi-channel

implants offer one potential mechanism for both

understanding the brain and influencing its operation

• Development of a animal model for stroke and stroke

recovery using robotic and other therapies

• Demonstration of sensory and motor brain signal

recording in awake and behaving rats

• Recording both electrical and neurochemical response

profiles in the brain before during and after stroke

• Demonstration of flexible electrode design and

manufacture

• Presentations at IEEE-EMBS (Engineering in Medicine

and Biology) and BMES (BioMedical Engineering Society

conferences)

• Future: Therapeutic brain implants for human use

1 2 3

4 5 6

Microneurosurgery

Electrophysiology

Technical Approach

Animal Behavior

Device Manufacture

• Bio-inspired design. By incorporating biocompatible

materials and biological surface coatings, brain implants

capable of long-term survival and function may be possible.

• Multi-modal sensing. Electrodes can be supplemented

with microdialysis techniques to explore the electrical and

chemical brain responses before during and after a stroke

•Flexible, biocompatible, electrode arrays are

photolithograhpically developed and tested in a rat model.

• Robotic therapy as a stroke recovery technique can be

improved by understanding the underlying brain response

Development of a Functional Optical Imaging (FOI)

Technique for Studying RetinaInvestigators: David M. Schneeweis,BioE

Prime Grant Support: Pending



• A noninvasive, high throughput method is required to

study the patterns of electrical activity in large numbers

of nerve cells in the retina

• This is critical for understanding retinal function in

normal and diseased retina, and for evaluating retinal

prostheses and other therapies for treating blindness

• Optical methods offer certain key advantages over

classical electrode recording techniques that are labor

intensive, invasive, and yield information about only one

or a small number of cells at a time

Key elements in Functional Optical Imaging (FOI):

• Voltage sensitive dyes (VSDs) are fluorescent

molecules that can be delivered to cell membranes, as

shown above for a rat retina

• Changes in cell voltage cause changes in the optical

properties of VSDs

• Multi-photon microscopy (MPM) is a technique that

allows high resolution imaging of thicker tissues, such

as retina

• MPM combined with VSDs offers the promise of

simultaneously studying the functional electrical activity of large numbers of retinal cells

• Protocols have been established for loading a particular VSD into cell membranes

• The entire thickness of the retina can be imaged with single cell resolution (see figure)

• Parameters for imaging the VSD using MPM have been established

• Small changes in fluorescence of the VSD can be measured with suitable speed and resolution

• Future goals include demonstrating that FOI can

measure physiologically relevant voltage changes, and

using FOI to study visually or electrically evoked signals

in isolated retina of rat

A. B.

C. D.

20 µm

Multi-photon

microscopy images of

isolated rat retina.

Each image is at a

different layer. Cell

membranes are labeled

with a fluorescent VSD,

and appear bright.


14

Neurotronic Communication: Olfactory Biosensor

Based on the Four-Channel ElectroantennogramInvestigators: John R. Hetling, Bioengineering; Tom C. Baker, Entomology (Iowa State)

Prime Grant Support: NSF – Biological Information Technology and Systems (BITS)



• Artificial nose technology has several potential

applications in security, defense, industry and clinical

diagnosis

• Current artificial nose technology is constrained by

low sensitivity, specificity and reproducibility, and slow

response times. Efforts to improve AR technology are

largely biomimetic.

• Our objective is to use the insect olfactory organ as

the sensor in a hybrid device that is fast, sensitive and highly specific.

• A four-channel biopotential amplifier was constructed

to measure the electroantennogram (EAG) from four

species of antennae in an air-stream.

• Both parametric and non-parametric classifiers were

developed which operate on the four-channel EAG signal

in near-real time.

• The system was characterized under laboratory

conditions (wind tunnel) and in the field. Up to 9 odors

have been tested with a single preparation, consisting of

natural (insect pheromone components) and

anthropogenic (DNT, a volatile associated with land mines) compounds.

• Individual odor strands can be accurately classified in

< one second, at concentrations approaching 1 ppb

(significantly better than current artificial noses).

• A global measure of classifier performance (accuracy

weighted by confidence) ranged from just above chance

to near 100%.

• Ultimate Goal: Consistent 80% performance for each

odor strand in a turbulent environment, and coupling with

meteorological data for source localization.

• The Goal is being achieved by moving to a cell-based

preparation cultured on a 60-channel multielectrode array, and integrating wind and GPS information.

Pore

Dendrite

SensillarLymph

Axon

SensoryNeuron

Cuticle

Pore

Dendrite

SensillarLymph

Axon

SensoryNeuron

Cuticle

Ch. 1

Ch

. 4

Ch

. 3

Insect antenna equivalent circuit

Cardiac Sound Separation and AnalysisInvestigators: Roland Priemer, ECE; Vivek Nigam , ECE

Prime Grant Support: Prakash Agarwal Foundation

Systolic Murmur Classification

Motivation

Heart disease is the leading cause of death in the world.

One percent of all newborns have some sort of heart

dysfunction. The stethoscope is the most widely used frontline

instrument to detect heart dysfunction.

Using the stethoscope requires extensive training .

Interpretation of the phonocardiogram can be subjective .

The phonocardiogram is a mixture of sounds with complexity

that makes it difficult to analyze for diagnosis of heart

dysfunctions .

Problems

Extract discrete heart sounds from the phonocardiogram and

develop algorithms for real-time analysis. Non-invasive, easy

to use and inexpensive apparatus. Automated support of

diagnosis of the separated sounds to classify dysfunctions.

Goals

Phonocardiogram Dissection

Apply blind source

separation algorithms to

isolate major delayed

components of the heart

sound.

Utilize dynamics of the

heart to detect and isolate

major heart sounds.

Extract clinically

relevant features from

isolated heart sounds to

perform clinical

diagnosis.

Simplicity based detection of heart

sounds. Top: Mitral stenosis murmur.

Bottom: Simplicity of mitral stenosis

murmur Simplicity based classification of

systolic murmurs.

Primary auscultation sites.

Heart sound with a VSD

murmur.

Motivation, Problems and Goals

Ejection

Regurgitant

Ejection

Ejection or

Regurgitant

Ejection or

Regurgitant

Normal

Background Noise

Aortic Component

Pulmonary Component

Mitral Component

Tricuspid Component

Murmur

S3

S4

Statistically

Independent

Mitral Component

Aortic Component

Murmur

Background Noise

Tricuspid

Component

Pulmonary Component

Hole

Biotechnology

15

Teaching Sensorimotor Skills with HapticsInvestigators: Miloš Žefran, ECE; Matteo Corno, ECE; Maxim Kolesnikov, ECE

Prime Grant Support: NSF; UIC College of Dentistry



• New surgical procedures are introduced at a high rate.

Each requires costly training.

• Haptic simulators provide a cost-effective alternative

to traditional training: no need to travel, 24/7 availability,

easy to create additional units as needed.

• Existing paradigm for haptics is not suitable for

teaching sensorimotor skills. Lack of good models and

of realistic haptic rendering are main obstacles to

creating useful simulators.

• Position and force information are simultaneously

displayed to facilitate motor skill acquisition. The user is

modeled as a three-input, single-output system.

• The model of the human enables stability analysis

through the Lyapunov second method; traditional

passivity techniques can not be used. Time delays are

critical for stability and are explicitly modeled.

• The Euclidean group SE(3) used to develop haptic

rendering algorithms that properly account for

translations and rotations. Kinetic energy provides an

intrinsic way to define the penetration which is in turn

used to compute the reaction force.

• Developed a new paradigm for teaching of

sensorimotor skills with haptics.

• Proposed a new model for a user responding to haptic

and visual stimuli. The model experimentally verified.

• Stability analysis of the system performed. Stability

boundaries explicitly identified.

• Implemented a new method for haptic rendering.

• Future work: applications in medical training, rehabili-

tation; faster implementation of the haptic rendering;

implementation on cheap haptic displays; extensions of

the new paradigm for collaborative haptics.

Atomic & Molecular BioNanotechnologyG.Ali Mansoori, Bio & Chem Eng Dept.s

Prime Grant Support: ARO, KU, UMSL, ANL


Technical ApproachesRelated Publications

• Diamondoids and Gold Nanoparticle - based

nanobiotechnology - Applications for Drug Delivery.

• Quantum and statistical mechanics of small systems -

Development of ab initio models and equations of state of

nanosystems. Phase transitions, fragmentations.

• Molecular dynamics simulation of nano systems - Non-

extensivity and internal pressure anomaly.

• DNA-Dendrimers nano-cluster formation.

• Nanoparticles-Protein Attachmrnt

•Nano-Imaging (AFM & STM), Microelectrophoresis

•Ab Initio computations (Applications of Gaussian 98)

• Nano-Systems Simulations (Molecular Dynamics)

•Nano-Thermodynamics and Statistical Mechanics

<Insert some type of visual picture/diagram, etc.>

•DNA-Dendrimer Nano-Cluster Electrostatics (CTNS, 2005)

•Nonextensivity and Nonintensivity in Nanosystems - A Molecular

Dynamics Sumulation J Comput & Theort Nanoscience (CTNS,2005)

•Principles of Nanotechnology (Book) World Scientific Pub. Co

(2005)

• Statistical Mechanical Modeling and its Application to

Nanosystems Handbook of Theor & Comput Nanoscience and

Nanotechnology (2005)

•Phase-Transition and Fragmentation in Nano-Confined Fluids J

Comput & Theort Nanoscience (2005).

•Interatomic Potential Models for Nanostructures" Encycl

Nanoscience & Nanotechnology (2004).


16

Stem Cell-Based Tissue Engineering Michael Cho, Ph.D. Bioengineering

Grant Support: National Institutes of Health and Office of Naval Research



• The costs associated with tissue loss or organ failure

have been estimated over several hundreds of billion

dollars.

• Severe shortage of tissues and organs continues to

persist and cannot adequately be overcome.

• Tissue engineering attempts to control, manipulate, and

reconstitute tissues in vitro ultimately for in vivo use to

repair and replace damage tissues, and therefore offers

a viable alternative.

• Recently, the use of stem cells in tissue engineering

has advanced exciting possibilities for numerous biomedical and clinical applications

• We have engineered a co-culture system that exploits

the physicochemical differentiation factors and thereby

minimizes the use of biochemical factors that could have

unwanted side effects

• This unique model may offer an alternate tissue

engineering approach to design pre-vascularized bone

tissue constructs

• Future: Translate these laboratory results to clinical

settings, including animal models and eventually human

trials. Ultimate goal is to engineer tissues that can be

implanted to treat and regenerate lost and damage

tissues.

Technical Approach

• Both bone marrow-derived mesenchymal stem cells

and embryonic stem cell lines are used to engineer

several tissues including bone and cartilage, just to name

a few.

• Regulation of stem cell proliferation and tissue-specific

differentiation by biochemical and physical cues appears

to lead to enhanced regenerative capability that will likely result in desired integrity and functionality.

• Appropriate use of both mechanical cues and

biochemical cues may be combined to solve one of the

most challenging problems in tissue engineering-

angiogenesisi, formation of blood vessels.

New Tissue Engineering Strategy

Molecular dynamics simulation of chloride ion channels (CIC)

Hongmei Liu, Cynthia Jameson and Sohail Murad, Chemical Engineering Department

Prime Grant Support: US National Science Foundation



• Need for understanding transport of ions in

biological membranes

•Understand the conduction mechanism of

chloride ions in simpler models of ClC.

• Explain the permeation mechanisms of ions in

such ClC ion channels.

•Validate our models with the experimental

results, and then extend studies to more

complex systems.

• Use molecular simulations to model the

permeation of ions in chloride ion channels.

•Examine the effects of the architecture of the

tube surface on the water molecules in the tube.

•Determine reorientation correlation times of

water molecules of the first hydration shell of the

ions in ion channels and in the bulk solution.

• Explained the molecular basis of conduction

mechanisms of ions in ClC.

•Used this improved understanding to predict

behavior of ions in ClC.

•Used molecular simulation to explain the

permeation mechanism of ions in ClC.

.

Biotechnology

17

Exploring Gas Permeability of Lipid Membranes Using Coarse-grained

Molecular Dynamics Method Huajun Yuan, Cynthia J. Jameson, Sohail Murad

Department of Chemical Engineering, University of Illinois at Chicago, 810 S. Clinton, Chicago, IL 60607

Primary Grant Support: US Department of Energy

Simulation System Configuration:

Problem Statement and Motivation:

• Understand the transport mechanism of gases through

biological membranes

• Explain the effect of gas parameters and lipid membrane

tail length on permeability

• Use above information to develop environment-friendly

separation processes

Technical Approach:

•Develop an effective Coarse-Grained method to

simulate

gas transport through a model membrane

efficiently

and accurately

•Compare transport process of different gases

•Find gas permeability in different lipid

membranes

•Compare with experiment to validate our results

Key Achievements and Future Goals:

•Explained the transport process of different small

molecules

through a lipid membrane

•Determined diffusion coefficients and permeability

of small

molecules through a lipid membrane.

•Compared diffusion coefficients and permeability of

different gases through different lipid membranes.

•Compared with atomistic simulations and

experiments.

Diffusion Coefficient Measurement:

Different Lipid Bilayer Memberanes:

Simulation Systems:

Results and Discussions:

Comparison with experiment measurement:

Angle Bending: u=kθ(cosθ- cosθ0)2

Bond Stretching: u=k r ( r- req)2

Interaction Potential :

Lines are drawn for eye guidance

Density Profile of Double DMPC bilayer:

Permeability = D┴/ D//

, usually value from 0 ~ 1

Permeability Definition and Measurements:

Ref: Witold Subczynski et al, J.Gen.Physiol Vol.100,69-87, 1992

Effects Of Bone Mineral Density And Surgical Technique On Stability

Of Acetabular Cup After Total Hip ReplacementInvestigators: Ivan Zivkovic1; Farid Amirouche1; Mark Gonzalez2

1Department of Mechanical Engineering and 2Department of Orthopedic Surgery

Prime Grant Support: Zimmer Orthopedic


Technical Approach


•Total hip replacement surgery has become a common

procedure to alleviate pain caused by osteoarthritis, rheumatoid

arthritis, fractures, and other hip related problems for patients

over 55 years of age.

•With the aging of the global population, the demand for hip

replacements is increasing, along with the required clinical

lifetime.

•The goal of this research is to study the effect of aging and

surgical technique on stability of a hip prosthesis and ultimately

to improve durability of hip joint prosthesis.• Experimental cadaveric study was conducted to measure

initial relative micromotion at the prosthesis/bone interface and

to investigate the effect of bone density and surgical technique

on the early micromotion at the interface that may predispose

to a prosthesis loosening.

• Sensor technology was used to capture the micromotion of

acetabular prosthesis

• Image-processing package (SeScan 3.0) was designed to

generate a 3-D bone geometry and material distribution from

ST scan and MRI data.

• Parametric patient based finite element model, validated with

experimental results, was developed to further analyze the

conditions affecting the initial stability and loosening of the

interface for different loading conditions.

• Patient specific computer system is developed which couples clinical imaging with finite element method

• This increased interpretive power has the potential to streamline

biomedical diagnosis, analysis, non-invasive surgical planning and

most importantly computer-assisted surgery

• At the initial clinical consultation proposed system would

warn orthopedic surgeon of any anatomical abnormalities that

could jeopardize the implant fixation, helps in determining

optimal positioning of the prosthesis, insertion method, etc.

which leads to reduction of operating time and to enchased

patient care.


18

Orienting Human Stem Cells (hMSCs) by Means of Electrospun Polymer Nanofibers

Investigators: M. Cho, Bioengineering; A. Yarin, C. M. Megaridis, Mechanical and Industrial

Engineering; E. Zussman, Technion-Israel



• Cell orientation and adhesion control the functionality

of natural and engineered tissues

• Electrospinning is a low-cost technique which can

produce polymer nanofibers aligned along a specific direction

• Polymer nanofibers can be used to mimic the native extracellular matrix (ECM) features

• Electrospun polymer nanofiber scaffolds are used to manipulate cell orientation and adhesion

• Random and oriented polycaprolactone (PCL)

nanofibrous scaffolds produced using electrospinning

• hMSCs were cultured and seeded on two scaffold types

(random, oriented)

• Orientations of hMSCs and nanofibers on random and

oriented nanofibrous scaffold samples were measured

via laser scanning confocal microscopy at different time

points during an 18-day culture period

• hMSC viability tests were performed to verify

compatibility of the cells with the PCL

• hMSCs adhered and oriented along PCL nanofibers

• During long-term culture, hMSCs demonstrated no

preferred orientation on random nanofibrous scaffolds; cells consistently aligned on oriented scaffolds

• Oriented PCL nanofibrous scaffolds could be used to

mimic the cell and ECM organization in the native tissue,

such as muscle, tendon, and the superficial zone of

articular cartilage

• The fiber scaffold/hSMC approach holds promise for a

variety of tissue engineering applications

A2

A3

B2

B3

B1A1

A2

A3

B2

B3

B1A1

Random Oriented

Cells: Green, Nanofibers: Red

Multi-scale Modeling of Failure in Cortical BoneInvestigator: Elisa Budyn, Mechanical Engineering

Grant Support: UIC; Collaboration: Ecole Centrale Paris (Thierry Hoc, Material Science)



• Determination of the effects of the local

geometrical and material heterogeneities in

sane and pathological cortical bone at the

micro and nano scales over the local strain

and stress fields and global response of the

unit cells.

• A better understanding of the effect of

pathologies over cortical bone quality

• Determination of the RVE

• Determination of the Macroscopic Moduli

• Effect of the cement lines over the local

strain field and the work of separation due to

crack propagation

• Determination of localization patterns

• Crack initiation and crack propagation

in cortical bone

• Multi-scale numerical models to

characterize the mechanics of materials and

biomaterials with multi-phase complex

microstructures.

• Failure mechanics of these microstructures

though damage and fracture processes

studied over the micro and nano scales,

modeled through FEM and X-FEM approaches.

• Concomitant experiments over the multiple

scales.

Biotechnology

19

Multi-Electrode Electroretinography: Toward Single-Flash

Mapping of Retinal FunctionPrinciple Investigator: John R. Hetling, Bioengineering



• Prevalent blinding eye diseases often begin locally,

and progress across the retina (e.g. glaucoma, diabetic

retinopathy, macular degeneration). Early detection is

critical to minimizing vision loss.

• Existing clinical techniques for measuring local health

of the retina have limitations, including long test

duration (10 min) and indirect measurement.

• The new test proposed here can be administered in

one second, and provides a direct measure of retinal physiology.

• A multi-electrode array contact lens was designed for

the rat eye to establish proof of concept for this

approach, including experimentally induced laser-

damage lesions on the retina.

• The ERG potentials recorded at the cornea will be

used in conjunction with a finite-element model of the

eye to estimate local activity of the retina.

• The meERG signal contains detailed information on

the physiological state of the retina which cannot

currently be measured with other functional mapping

techniques.

• Prototype multi-electrode contact lenses have been

fabricated.

• A detailed FE model of a rat eye has been constructed.

• Preliminary meERG data have been recorded and

used to optimize and validate the model, with

encouraging results.

• Ultimate Goal: Thoroughly demonstrate proof of

concept in rat, and transfer the technology to human

studies for eventual clinical application.

• A U.S. Patent is pending.



• Oxygen is a key modulator in many cellular pathways

and current laboratory techniques for probing this

important variable lack precise control.

• Several conditions within the same incubator can be

generated through the use of hypoxic chambers, however

only 4 chambers generally fit within a standard incubator.

• Additionally, gradients can be easily implemented in

static culture models which are impossible to do in

standard techniques.

• Soft lithography for microfabrication of thin membrane

for oxygenation

• Microfabricated insert for multiwell formats, 6-well to

96-well

• Multiple and independent control of oxygen

concentration for each well

• Polydimethylsiloxane is permeable to oxygen allowing

microfluidic gas channels to control the conentrations in

the well

• Cells can be cultivated under different concentration of

oxygen in each well

• A microfabricated insert for multiwell formats has been

developed to control the gas concentration of each well

independent of the global incubator‟s condition.

• Diffusive transport of oxygen is quick

• Simple and efficient platform does not require special

equipment besides incubators, gas cylinders, and multi-

well plates

• High-throughput systems for development of cellular

microenvironmental models

• Application for in vitro model for liver zonation and

suitable platforms to study stem cells

Independent control of gas concentrations

in a multiwell formatInvestigators: Kihwan Nam and David T. Eddington, Bioengineering

0 %21 %Oxygen

Cells

6-Well format (top view)

Side view


20

Signal Transduction Network Inference from Experimental Evidence

Investigators: Bhaskar DasGupta, CS, UIC with other researchers outside UIC

Primary Grant Support: NSF CAREER IIS-0643973



• Understanding of many signaling processes is limited

to the knowledge of the signal(s) and of key mediators'

positive or negative effects on the whole process.

• Need methods for synthesizing indirect information

into a consistent network that maintains all observed

causal relationships.

• distill experimental conclusions into qualitative regulatory

relations between cellular components of the type “A

promotes (inhibits) B”, or “C promotes (inhibits) the

process through which A promotes (inhibits) B”.

• direct biochemical interactions are marked as such.

• assume that a three-node indirect inference corresponds

to an intersection of two paths (A B and C B) in the

interaction network, i. e., we assume that C activates an

unknown pseudo-vertex of the AB path.

•Using techniques from combinatorial optimization we find

the sparsest graph, both in terms of pseudo vertex

numbers and non-critical edge numbers, that is consistent

with all reachability relationships between real vertices.

• developed efficient algorithms for the entire network

synthesis procedure.

• validated the procedure by applying it to experimental

results for abscisic acid-induced stomatal closure and

comparing the results with the manually curated network.

• our graph sparsification procedure returns solutions

close to optimal for randomly generated networks with a

structure similar to those observed in transcriptional

regulatory and signal transduction networks.

•An implementation of the graph synthesis procedure is

available from http://www.cs.uic.edu/~dasgupta/network-synthesis/

A Test of the Leibowitz HypothesisJ. E. Barton1, R.V. Kenyon2, T.E. Cohn1

1University of California, 2University of Illinois at Chicago

Technical ApproachKey Achievements

• Our experiment used a 3D Virtual Environment to

display different sized textured spheres approaching an

observer at different speeds.• Our experiments show that speed perception is a

function of object size, as hypothesized by Leibowitz.

• We hypothesize that subjects inaccurately estimated

the large sphere‟s size and distance as smaller and

closer, but use the actual expansion rate information for

this sphere.

• This lead them to incorrectly estimate the sphere‟s

approach speed as slower than it really is and maybe at

important factor in collisions between small and large vehicles.

•Why do some people deliberately drive through railroad

crossings and into the path of oncoming trains, even when

warning signals are flashing? Are they seeking the ultimate

thrill or is there something amiss in their judgment about

the danger of crossing?

•Leibowitz observed that landing jumbo jets appeared to

move more slowly than smaller counterparts, even though

the former were traveling much faster.

•He speculated that this might be a contributing factor in

railroad crossing accidents, and hypothesized that this

misperception was the result of the way in which the visual

system interprets the cues at hand.

Proportion of times subjects perceived the smaller sphere to be approaching faster (P5).

Except for large sphere speeds of 10 and 15 m/sec where the smaller sphere was

greater than then equal to the large sphere speed, respectively, the smaller sphere was

always slower than the larger sphere, as the Correct response [red filled circles and

dotted line] indicates. Thick dashed line shows chance level of response. Asterisks

indicate response significantly less than the proportion for the next lower speed.

Biotechnology

21

DEEP BRAIN STIMULATION FOR TREATING PARKINSONS’ DISEASE

Investigators: Ishita Basu,ECE; Daniela Tuninetti,ECE; Daniel Graupe,ECE; Konstantin Slavin,Neurosurgery

Primary Grant Support: Dr. Tuninetti‘s start-up package.


Technical Approach Key Achievements and Future goal

MOTIVATION: Deep Brain Stimulation (DBS) is a surgical method of

relieving advanced stage Parkinson‘s Disease (PD) patients of most of their

debilitating symptoms (like tremor). DBS involves stimulating the area of the

brain that controls movements with a high frequency train of electrical pulses

through an implanted electrode.

PROBLEMS: In today‘s DBS systems the stimulation parameters are

optimized manually by the physician with visual feedbacks from the patient.

Moreover, the stimulation is continuous and constant over time.

OBJECTIVES: 1) Design an intermittent deep brain stimulation instead of a

continuous stimulation. This ensures lower power requirements, a longer

battery life, and possiblye reduce damage to healthy neurons in PD patients.

2) Tune the parameters of the DBS (frequency, pulse amplitude, pulse

duration) by employing a closed-loop control. This allows to tailor the DBS

stimulation to each individual patients thus enhancing DBS efficacy.

1. A cluster of actively firing neurons is modeled as a group of

coupled oscillators that is mathematically described by stochastic

differential (Langevin) equations.

2. The signals measured from PD patients, such as the local field

potential from the brain and the muscular potential from surface

EMG, are modeled parametrically.

3. The signal parameters are adaptively estimated for each patient

from the measured signals and to optimize the DBS stimulation

parameters.

Simulation results shows that on an average a train of high frequency

pulses with its frequency and/or amplitude stochastically modulated

with Gaussian noise performs better than its deterministic counterpart.

Next, we will test the above hypothesis on a model with parameters

extracted from actual measured signals.

We will trace the evolution of the parameters extracted from the

measured signals which will serve as a reference in the control loop.

We will optimize the DBS stimulation parameters.

The Audible Human ProjectInvestigator: Thomas J. Royston, Mechanical & Industrial Engineering, Bioengineering

Primary Grant Support: NIH



• Develop and experimentally validate a subject-specific

computer model of sound generation, transmission and

measurement in the pulmonary system and chest.

• Motivation: Complement to National Library of Medicine

Visible Human Project. Research and education/ training

tool. Integration into Haptic Virtual Reality environment in

the future (e.g. ImmersiveTouch™).

• Patient-specific acoustic

model based on coupling an

analytical airway model with a

lung tissue boundary element

model and finite element

model of the ribcage and

chest surface

• Validated via experimental

studies on phantom models

and human subjects

• Code validation via experimental

phantom studies in progress

• Development of computational

model based on Visible Human

Male in progress

• Future plans: Experimental

validation on human subjects

• Future plans: Extend to

cardiovascular, musculoskeletal

and gastroinstestinal systems

flexible sonic sensor array pad

Biomedical & Biotechnology

Mechanical phantom model

for code validation: foam with

airways (lungs) surrounded

by silicon with embedded

garalite ribs (chest wall).

Front view

Wire mesh geometry of

chest surface, lungs and

main airways based on

Visible Human Male.


22

Brownian Dynamics Simulation of Blood: Modeling Red

Blood Cells with a Bead-and-Spring ModelsInvestigators: L.E. Wedgewood; Kyung-Hyo Kim, UIC Chemical Engineering



Fig. 2.1- Dimensions with standard deviations of a normal wet human

2.4+-0.1

1.0+ -.08

8.5+-0.4

Fig 1 Dimension of normal human RBC with standard deviations

Fig 2 RBC in a blood vessel Fig 3 Simulation model of RBC

Understanding blood rheology (i.e., blood flow properties) is

important for the treatment of occlusive vascular disease.

Viscoelastic behavior of red blood cells affect flow behavior and transport in blood vesicles.

A red blood cell is a biconcave disk with length of ~8.5um [Fig 1] and accounts for roughly 38% - 46% of blood‟s volume.

Fahraeus-Lindqvist effect: The decrease in apparent viscosity when blood vessel has small diameter less than about 0.3 mm [Fig 2].

To develop a Brownian dynamics (BD) model that captures the essential rheological behavior of blood [Fig 3].

Results for a three bead-and-spring model gives a simplified view

of the physical system, but captures the essential physical characteristics of red blood cells:

Correctly predicts the steady shearing properties giving the correct relation between shear stress and shear rate.

Correctly predicts the Fahraeus-Lindqvist effect for circular tubes of various radii.

Future goals:

Addition of details to the red blood cell model: internal viscosity of cell, bending potentials and interaction between cells.

The method can be extended to more complex situations by

replacing the single vessel for more complex geometries (walls, constriction, bends, junction, networks) or combinations.

Construct a model for red blood cells suspended in blood plasma Fig. 3:

Bead-and-Spring Model: flexibility and elasticity of a red blood cell is represented by a network of springs to mimic cell membrane.

Intrinsic curvature of the membrane is modeled by bending potentials.

Membrane area and cell volume are constrained to be constant in accordance with actual cells.

Complex flow calculations are made using Brownian dynamics

simulations. Motion and configuration of red blood cells can be simulated in complex flow geometries.

A Coarse-grained Model for the Formation of CaveolaeInvestigators: L E Wedgewood, L C Nitsche, B Akpa: Chemical Engineering; R D Minshall, Pharmacology and Anesthesiology

Primary Grant Support: National Institutes of Health



• Lipid membrane modeled as a stable 2D fluid

• Various kinds of surfaces modeled– plane, sphere, hemisphere

• Physical properties of model are being investigated– to confirm that model exhibits typical lipid-bilayer characteristics

• Future goals– to incorporate caveolin proteins on the bilayer

– to model the cytoskeleton and its interactions

– to model the pinch-off of invaginated surface caveolae to form endocytic vesicles

• Animal cell membrane regions rich in the protein caveolin form ~50 nm pits or indentations („caveolae‟) [Fig. 1]

• Caveolae accept molecular cargo that is to be absorbed by the cell, thus forming endocytic vesicles [Fig. 2]– roles in signaling, cholesterol trafficking, pathogen invasion

– disruption of caveolin expression is linked to disease

• Current microscopic techniques cannot be used to continuously observe the process of formation of specific caveolae

• Coarse-grained approaches can be used to feasibly study interactions of caveolins with the lipid bilayer that result in the formation of caveolae [Figs. 3 and 4]

• The lipid bilayer is modeled as a coarse-grained 2D fluid [Fig. 3]– each particle in the model represents a cluster of phospholipids

• 2D structure is preserved using a combination of potentials that [Fig. 4]– favor a specified minimum inter-particle distance

– cause particles to be attracted to one another

– penalize particles for leaving the 2D surface

• Computation is saved by only considering interactions with neighboring particles– particle interactions restricted to specified cutoff distances

• Caveolins modeled as bead-spring chains– subject to Brownian forces

n

rrnormal

rtransverse

Fig. 1 Caveolae are ~50 nm

indentations at cell surfaces

Fig 2 Caveolae accept molecules to

be absorbed into the cell (endocytosis)

Fig. 3 Increasingly coarse-grained models of lipid bilayer phospholipids

Fig. 4 A section-view of the membrane model

Biotechnology

23

Numerical Modeling of MR Imaging of the Human Head

Investigators: James C. Lin, Electrical and Computer Engineering and, Bioengineering

Primary Grant Support: Magnetic Health Science Foundation



To anayize the physiological response of

radiofrequency (RF) power deposition

during magnetic resonance imaging (MRI)

with head-specific volume coils.

FDTD methods are used to calculate RF power

deposition and temperature elevation in MRI of

the human head within volume coils from 64–400

MHz at different power levels both with and

without consideration of temperature- induced

changes in rates of metabolism, perspiration,

radiation, and perfusion.

At the highest power levels currently allowed in

MRI for head volume coils, there is little effect

from the physiological response

.

To assess the possibility that at higher power

levels or in different types of coils (such as

extremity or whole-body coils) the physiological

response may have more significant effects.

64MHz 200MHz 300MHz 340MHz 400MHz64MHz 200MHz 300MHz 340MHz 400MHz

Stimuli-Responsive Polymer Nanofibers

Y. Zhang, Prof. A.L. Yarin (MIE, UIC)



• Water insoluble novel NIPAM-based copolymers

• Swelling/shrinkage in response to temperature

variation

• Swelling/shrinkage in response to pH variation

• Controlled drug release

• Triggering at pH of 6.5 characteristic of cancer tumors

• Co-polymerization of thermo-responsive NIPAM-PMMA

copolymers

• Co-polymerization of pH-responsive NIPAM-PMMA-AA

copolymers

• Electrospinning of nanofiber mats loaded with a model

compound-fluorescent dye

• Thermo- and pH-activated periodic dye release

• To appear in Y. Zhang, A.L. Yarin. J. Materials

Chemistry (2009)

• Water insoluble novel NIPAM-based, thermo- and pH-

responsive copolymers were synthesized

• They can distinguish between cancer tumors (pH 6.5)

and normal tissues (pH 7.4) and release an anti-cancer

drug in a highly localized manner eliminating severe side

effects

• Future experiments should involve real anti-cancer

drugs

• Drug delivery with nanobots: carbon nanotubes

containing anti-cancer drugs and capped with these

stimuli-responsive copolymers


24

Universal Design of Exercise Equipment for People with

DisabilitiesInvestigators: Michael J. Scott, Mechanical & Industrial Engineering

Primary Grant Support: U.S. Dept. of Education (OSERS/NIDDR) : RERC RecTech



• Lack of access to exercise is a major health risk for

people with disabilities

• Wheelchair users are particularly challenged to find

appropriate cardiovascular exercise; the common arm

ergometer is a risk of shoulder overuse injury

• Major equipment manufacturers and gyms have

limited interest in what they perceive as a niche market

• Regulation and standards driving the push for more

universal equipment

• Consider physiological requirements and usability

needs first

• Mechanism design to permit universally designed

machines that serve the exercising population both with

and without disabilities

• Partnership with Life Fitness

• Collaboration with investigators at SUNY Buffalo

developing instruments to measure universality of

products

• Collaboration with standards developers in the United

States (Beneficial Designs) and Great Britain (Inclusive

Fitness Initiative)

• Categorized and identified best candidate exercise

motions for wheelchair users with different levels of

function to achieve cardiovascular benefit without risk of

overuse injury

• First prototype of dual-use adapted Life Cycle 9500HR

currently being tested on human subjects by colleagues

Thayne Munce of Movement Sciences and Karen Troy of Kinesiology and Nutrition

• Rehabilitation Engineering Research Center (RERC) RecTech funding renewed through 2012

• Future developments: adaptation of strength equipment for cardiovascular use

25

MATERIALS AND NANO-TECHNOLOGY

Research projects in Materials and Nano-Technology include activities such as integration of

nanostructures with biological structures, nanofluidics, and nanoelectronics. This research thrust

area is populated by faculty from many departments, including bioengineering, chemical

engineering, civil and materials engineering, electrical and computer engineering, and

mechanical and industrial engineering.

For an on-line view of the quad-charts in the Materials and Nano-Technology area, visit the

College of Engineering‘s research web page at the following URL:


http://www.engineering.uic.edu/COE/ResearchThrustAreas


26

Atomic & Molecular NanotechnologyG. Ali Mansoori, Bio & Chem Eng; Dept.s




• Experimental and theoretical studies of organic

nanostructures derived from petroleum (Diamondoids,

asphaltenes, etc.)..




• Molecular dynamics simulation of small systems -

Studies in non-extensivity and internal pressure anomaly

of nanosystems.

• DNA-Dendrimers nano-cluster formation, nanoparticle-

protein attachment for drug delivery











(2005)








A Simple, Scientific Way to Optimize Catalyst PreparationJohn R. Regalbuto, Dept. of Chemical Engineering


Problem Statement and Motivation Technical Approach

Key Applications

• supported metal catalysts like the automobile catalytic

converter are immensely important for

•environmental cleanup

•chemical and pharmaceutical synthesis

•energy production

•catalyst preparation is thought of as a “black art”

•industry has successful recipes but little fundamental

understanding; development is laborious and expensive

• our lab is a world leader at fundamental studies of

catalyst preparation

• method of “strong electrostatic adsorption:”

•locate pH of optimal electrostatic interaction

•reduce metal coordination complex at conditions which retain the high dispersion of the precursor

•extremely small nanocrystals result (sub-nanometer)

•metal utilization is optimized

•method is generalizeable

H2OH2+

O-

pH<PZC

pH>PZC

OHPZC

K1

K2

[PtCl6]-2

[(NH3)4Pt]+2

[H]+ (pH shifts)

Kads

Kads

OH2+

O-

pH<PZC

pH>PZC

OHOHPZC

K1

K2

[PtCl6]-2

[(NH3)4Pt]+2

[H]+ (pH shifts)

Kads

Kads

• fuel cell electrocatalysts

•automobile catalytic converters

•petroleum refining catalysts

1) Electrostatic adsorption mechanism

2) Finding optimum pH

3) Optimized

Pt/SiO2 catalyst


27

Integrating Nanostructures with Biological StructuresInvestigators: M. Stroscio, ECE and BioE; M. Dutta, ECE

Prime Grant Support: ARO, NSF, AFOSR, SRC, DARPA, DHS



• Coupling manmade nanostructures with biological

structures to monitor and control biological

processes.

• For underlying concepts see Biological

Nanostructures and Applications of Nanostructures

in Biology: Electrical, Mechanical, & Optical

Properties, edited by Michael A. Stroscio and Mitra

Dutta (Kluwer, New York, 2004).

• Synthesis of nanostructures

• Binding nanostructures to manmade structures


properties of nanostructures

• Experimental characterization of intergated manmade

nanostructure-biological structures

• Numerous manmade nanostructures have been

functionalized with biomolecules

• Nanostructure-biomolecule complexes have been used

to study a variety of biological structures including cells

• Interactions between nanostructures with biomolecules

and with biological environments have been modeled for

a wide variety of systems

• Ultimate goal is controlling biological systems at the

nanoscale

Nano-magnetism and high-density magnetic memory

Vitali Metlushko, Department of Electrical & Computer Engineering and Nanotechnology Core Facility (NCF)

Prime Grant Support: NSF ECS grant # ECS-0202780, Antidot and Ring Arrays for Magnetic Storage Applications

and

NSF NIRT grant # DMR-0210519 : Formation and Properties of Spin-Polarized Quantum Dots in Magnetic

Semiconductors by Controlled Variation of Magnetic Fields on the Nanoscale, B. Janko (P.I.), J. K. Furdyna (co-P.I.),

M. Dobrowolska (co-P.I.), University of Notre Dame is leading organization, A. M. Chang (Purdue) and V. Metlushko,

(UIC)Problem Statement and Motivation


The field of nanoelectronics is overwhelmingly

dedicated to the exploitation of the behavior of electrons

in electric fields. Materials employed are nearly always

semiconductor-based, such as Si or GaAs, and other

related dielectric and conducting materials. An

emerging basis for nanoelectronic systems is that of

magnetic materials. In the form of magnetic random

access memories (MRAM), nanoscale magnetic

structures offer fascinating opportunities for the

development of low-power and nonvolatile memory

elements.

In past few years, the interest in nano-magnetism has

encreased rapidly because they offer potential

application in MRAM. Modern fabrication techniques

allow us to place the magnetic elements so close

together that element-element interactions compete with

single-element energies and can lead to totally different

switching dynamics. To visualize the magnetization

reversal process in individual nano-magnets as well as in

high-density arrays, Metlushko and his co-authors

employed several different imaging techniques- magnetic

force microscopy (MFM), scanning Hall microscopy,

magneto-optical (MO) microscopy, SEMPA and Lorentz

microscopy (LM).

•This project has led to

collaboration with MSD, CNM

and APS ANL, Katholieke

Univesiteit Leuven, Belgium,

University of Notre Dame, NIST,

Universita` di Ferrara, Italy, Inter-

University Micro-Electronics

Center (IMEC), Belgium, Cornell

University, McGill University and University of Alberta, Canada

•During the past 3 years this

NSF-supported work resulted in

21 articles in refereed journals

already published and 10 invited

talks in the US, Europe and

Japan.

SEM image of

700nm MRAM

cells.

Lorentz image of

magnetic nanostructure.

UIC‘s Nanoscale Core Facility


28

Tera-scale Integration of Semiconductor NanocrystalsInvestigators: M. Dutta, ECE; M. Stroscio,ECE and BioE

Prime Grant Support: ARO, NSF, AFOSR, SRC, DARPA



• Future electronic and optoelectronic

systems must be integrated on the

terascale and beyond

•This research effort explores the use of

biomolecules as molecular interconnects

for such terascale systems

• Synthesis of semiconductor nanostructures

• Chemical self-assembly of semiconductor

nanostructures


properties of ensembles of nanostructures

• Experimental characterization of massively integrated

networks of semiconductor nanostructures

• Numerous manmade semiconducting nanostructures

have been synthesized

• Integrated semiconductor quantum dots have been

assembled chemically in the Nanoengineering Research

Laboratory at UIC

• Interactions between semiconductor nanostructures

and molecular wires have been modeled for a wide

variety of systems

• Untimate goal is massive integration of semiconductor

nanostructures in functional electronic and optoelectronic

networks

Carbon Nanotube

Metal Electrodes

Molybdenum Patterns

Carbon Nanotube

Metal Electrodes

Molybdenum PatternsCdS CdSe-ZnS-GGGCCdSe-ZnS

Au wire

Multiferroic Thin Films Grown by MBEInvestigators: Siddhartha Ghosh Prime Grant Support: Office of Naval Research


Technical Approach


• Frequency tunable microwave devices

• Magnetoelectric thin films

• Multiferroism in multilayered heterostructures

• Advanced RADAR arrays for Navy

• Spintronics

• RF Plasma assisted complex oxide epitaxial

growth on oxide and semiconductor substr-

ates

• Alternate piezoelectric and magnetostrictive

layers provide mechanical coupling between

the ferroelectric and ferromagnetic thin films

• Atomically smooth interfaces

• First reported MBE growth of multiferroic

layers by RF Plasma oxygen source

• Research on controlling thin film interfaces

is underway

• Collaboration has been established with

Argonne National Labs and Center for

Nanoscale Materials

• Discussion for collaboration with Naval

Research Laboratory has been initiated

RF Plasma Assisted Oxide MBE System


29

MicroOptoElectroMechanical Systems (MOEMS)Investigators: A. Feinerman, ECE; C. Megaridis, MIE

Prime Grant Support: NASA, and DARPA



Standard deformable structures rely on spindly

linkages to achieve the flexibility required for motion.

Spindly structures are thermal insulators.

Tethered liquid drops provide electrical, and thermal

conduction, as well as a restoring force/torque to mirror.

• tethered drops are super-deformable, large

displacements at low voltages are possible

• drops can be tethered by patterning the wetting

properties of a surface

• precision dispensing of Hg drops

• self-alignment of ~50 g mirrors.

• Achieved reproducible piston motion

• Achieved reproducible rotation

• Used technique to make variable reflection display

• Developing RF switch – liquids do not suffer from

stiction.

75 volts @ 300Hz with 35 m actuation

Carbon Nanopipes for Nanofluidic Devices Investigators: C. M. Megaridis, A. Yarin, Mechanical and Industrial Eng., UIC;

Y. Gogotsi, J.C. Bradley, Drexel Univ.; H. Bau, Univ. Pennsylvania




• Investigate the physical and chemical properties of

aqueous fluids contained in multiwall carbon nanotubes

• Determine the continuum limit for fluid behavior under

extreme confinement

• Provide experimental data for parallel modeling efforts

• Evaluate the feasibility of fabricating devices using

carbon nanotubes as building blocks

• Multiwall carbon nanotubes filled by high-pressure high-

temperature processing in autoclaves

•Nanotube diameter in the range 5nm-200nm, and

lengths 500nm-10μm

•Gas/liquid interfaces used as markers of fluid transport

• High-resolution electron microscopy and chemical

analysis techniques used to resolve behavior of fluids

stimulated thermally in the electron microscope

•Model simulations used to interpret experimental

observations

• Gas/Liquid interfaces in carbon nanotubes with

diameter above 10nm resemble interfaces in

macroscopic capillaries

• Non-continuum behavior observed in nanotubes with

diameter below 10nm

• Wettability of carbon walls by water observed;

important property for adsorption applications

• Future applications include drug delivery systems, lab-

on-a-chip manufacturing, electrochemical cells, etc.


30

Low-Pressure Plasma Process for Nanoparticle CoatingInvestigators: Farzad Mashayek, MIE/UIC; Themis Matsoukas, ChE/Penn State




• The batch reactor is already operational and has been used

to demonstrate the possibility of coating nanoparticles.

• A reaction model has been developed to predict the

deposition rate on the nanoparticle surface.

• The possibility of using an external magnetic field to control

the trapping of the particles has been investigated

computationally.

• The experimental effort is now focused on the design of the

“continuous” mode reactor.

• The computational effort is focused on development of a

comprehensive code for simulation of the plasma reactor,

nanoparticle dynamics, and surface deposition.

Simulated flow of ions over a nanoparticle

Nanolayer coating on a silica particle

Nanoparticles of various materials are building

blocks and important constituents of ceramics and

metal composites, pharmaceutical and food

products, energy related products such as solid

fuels and batteries, and electronics related

products. The ability to manipulate the surface

properties of nanoparticles through deposition of

one or more materials can greatly enhance their

applicability.

A low-pressure, non-equilibrium plasma process is

developed using experimental and computational

approaches. Two types of reactors are being

considered. The first reactor operates in “batch”

mode by trapping the nanoparticles in the plasma

sheath. Agglomeration of the particles is prevented

due to the negative charges on the particles. The

second reactor is being designed to operate in a

“continuous” mode where the rate of production

may be significantly increased. This reactor will also

provide a more uniform coating by keeping the

nanoparticles outside the plasma sheath.

Atomic & Molecular BioNanotechnologyG.Ali Mansoori, Bio & Chem Eng Dept.s




• Diamondoids and Gold Nanoparticle - based

nanobiotechnology - Applications for Drug Delivery.




• Molecular dynamics simulation of nano systems - Non-

extensivity and internal pressure anomaly.

• DNA-Dendrimers nano-cluster formation.











(2005)









31

Molecular Simulation of Gas Separations

Sohail Murad, Chemical Engineering Department

Prime Grant Support: US National Science Foundation


Technical Approach


• Understand The Molecular Basis For Membrane

Based Gas Separations

• Explain At The Fundamental Molecular Level

Why Membranes Allow Certain Gases To Permeate

Faster than Others

• Use This Information To Develop Strategies For

Better Design Of Membrane Based Gas Separation

Processes For New Applications.

• Determine The Key Parameters/Properties Of The

Membrane That Influence The Separation Efficiency

• Use Molecular Simulations To Model The Transport Of

Gases –i.e. Diffusion or Adsorption

•Focus All Design Efforts On These Key Specifications To

Improve The Design Of Membranes.

•Use Molecular Simulations As A Quick Screening Tool For

Determining The Suitability Of A Membrane For A

Proposed New Separation Problem

• Explained The Molecular Basis Of Separation of N2/O2 and

N2/CO2 Mixtures Using a Range of Zeolite Membranes.

• Used This Improved Understanding To Predict Which

Membranes Would Be Effective In Separating a Given Mixture

•Used Molecular Simulation to Explain the Separation

Mechanism in Zeolite Membranes.

.

Zeolite Membrane

y

z

x

Feed Compartment (High Pressure)

Feed Compartment (High Pressure)

Product Compartment (Low Pressure)

Recycling Regions

FAU Zeolite MFI Zeolite CHA Zeolite

Rheology of Polymeric and Complex Nanostructured FluidsInvestigator: Ludwig C. Nitsche, Chemical Engineering Department

Collaborator: Lewis E. Wedgewood, Chemical Engineering Department



• Developed model of cross-stream migration

of polymers in flows with gradients in shear.

• The first asymptotic PDF for the classic

problem of FENE dumbbells stretching in

elongational flows.

• Rigorous basis for the recent “L-closure”,

and analytical explanation for the numerically

observed collapse of transient stress-

birefringence curves for different polymer

lengths.

• Numerical simulations by atomistic smoothed

particle hydrodynamics (ASPH).

• “Smart swarms” of particles solve the

Smoluchowski equation for translational and

conformational motions of dumbbell models of

polymers in dilute solution.

• Asymptotic theory (singular perturbations

and multiple scales) consolidates numerics

and extracts formulas for probability density

profiles, scaling laws and rheological

constitutive equations.

• Derive macroscopic constitutive laws from

stylized molecular models of polymers and

complex fluid substructure in dilute

solution.

• Obtain probability density functions

describing external (translational) and

internal (conformational) degrees of

freedom of suspended bead-spring entities.

• Manipulate complex fluids with flow

geometry and external fields.

Numerical versus

asymptotic PDF’s for a

linear-locked dumbbell

Closure relations for the

conformatioally averaged

Smoluchowski equation


32

Non-Newtonian Fluid Mechanics: The Vorticity DecompositionLewis E. Wedgewood, Chemical Engeineering Department

Prime Grant Support: National Science Foundation, 3M Company



• Construct a Theory that Allows the Vorticity to be

Divided into an Objective and a Non-Objective Portion

• Develop Robust Equations for the Mechanical

Properties (Constitutive Equations) of Non-Newtonian

Fluids using the Objective Portion of the Vorticity

• Solve Flow Problems of Complex Fluids in Complex

Flows such as Blood Flow, Ink Jets, Polymer Coatings,

Etc.

• Mathematical Construction of Co-rotating Frames (see

Figure above) to Give a Evolution for the Deformational

Vorticity (Objective Portion)

• Finite Difference Solution to Tangential Flow in an

Eccentric Cylinder Device

• Brownian Dynamics Simulations of Polymer Flow and

Relation Between Polymer Dynamics and Constitutive

Equations

• Continuum Theory And Hindered Rotation Models To

Model Mechanical Behavior

• Improved Understanding Of the Modeling of Complex

Fluids

• Applications to Structured Fluids such as Polymer

Melts, Ferromagnetic Fluids, Liquid Crystals, etc.

• Development Of Constitutive Relations Suitable For

Design Of New Applications

• Verification Of Hindered Rotation Theory And The

Transport Of Angular Momentum In Complex Fluids

Sensor Technology for Non Destructive Assessment

of Materials DegradationJ. Ernesto Indacochea & Ming L. Wang, Civil & Materials Engineering

National Science Foundation



• Corrosion and creep damage of materials are among the

most important challenges for engineers in selecting

materials for operation in extreme environments.

• Corrosion stands for loses of about 300 billion dollars

per year only in the USA.

• Creep assessment is a major concern for repair and life

extension of infrastructure equipment in power plants.

• Early detection and close monitoring of corrosion and

creep by non-destructive examination (NDE) is most

effective to extend the life of structures and insure the

continuous operation of power plants.

• The material is a key part of the sensor. A magnetic field is

applied to the component being assessed and its magnetic

response is monitored.

• The hysteresis loop and magnetic saturation depend on the

microstructure and cross section of the exposed material.

• Corrosion is a surface phenomenon that reduces the cross

section of materials due to mass loss.

• During the different stages of creep, materials suffer

changes in grain size, phases, crystallographic lattice, and

voids appear.

• The magnetoelastic response of metals due to corrosion or

creep gradually changes and it is used to estimate the

degradation level due to creep or corrosion.

• Corrosion damage with 0.5% mass loss of ferromagnetic

materials can be detected with a 95% confidence limit.

• Microstructural changes are also detected during the

sensing of corrosion and creep.

• In the third stage of creep damage the material becomes

magnetically harder and the hysteresis curve shifts.

Future Goals

• Improve sensor sensitivity to detect less than 0.5% mass

loss due corrosion and subtle microstructure changes

during creep.

• Extend our studies to development of nanostructured

hydrogen sensing MOS devices.

F

ull

cr

eep

Intermediate creep

As-received


33

Development of ultrafast AAO nanowell/Pd nanoparticle structures

for hydrogen detection at low temperatureInvestigators: J.E. Indacochea, M.L. Wang, Department of Civil and Materials Engineering, UIC

H.H. Wang, Materials Science Division, Argonne National Laboratory

Primary Grant Support: National Science Foundation



• Hydrogen has been envisioned as a futuristic energy

system. Gas detectors will be key components to

ensure safety and reliability in hydrogen infrastructure.

• Limitations of current hydrogen sensing devices

include long response time, low sensitivity, and poor

performance at room temperature.

• Very large active surface and nanoscale dimensions

make nanostructures a promising alternative to

overcome current limitations in hydrogen detectors.

• Anodic aluminum oxide (AAO) nanowell array has been

selected as substrate because it provides a robust,

insulating, and ordered structure for catalyst deposition.

• Pd nanoparticles have been selected as catalyst due to

their high sensitivity and selectivity to react with hydrogen.

• The nanostructure is being characterized and tested for

hydrogen detection. Dimensions and configuration are

being systematically studied to achieve optimal

performance.

• The electrical resistance of the nanostructure increases

with hydrogen concentration due to the formation of a

non conductive Pd hydride phase.

• Response time is greatly faster compared to that for

other nanostructured and micro sensing devices.

• Very low hydrogen concentrations can be detected at

room temperature without compromising sensitivity.

• The main goal is to achieve optimal performance and

integrate the nanostructure into modern sensors.

Pd nanoparticleAAO nanowell

Al substrate

Change in resistance in presence of hydrogen at different concentrations

0.727

0.728

0.729

0.73

0.731

0.732

0.733

0.734

0.735

0 20 40 60 80 100 120 140 160

Time (s)

Resis

tan

ce (

kO

hm

)

1% H

0.5% H

0.3% H

0.2% H

0.1% H

0.05% H

H on

H off

Joining Yttria Stabilized Zirconia (YSZ) to Crofer22-APU®

for Applications in Solid Oxide Fuel CellsInvestigator: J.E. Indacochea, Department of Civil and Materials Engineering, UIC



• Develop a filler material and brazing procedure that

provides a high quality hermetic seal to enhance the

performance of Solid Oxide Fuel Cells (SOFCs).

• Reactive brazing has proved to be the most effective

and efficient method for joining ceramics–to-metals.

The addition of reactive elements to filler metals

improve wetting in ceramics by the formation of a

reaction layer that insures bonding.

• The thickness of the reaction layer on the interface

YSZ/filer metal will have an important effect on the

mechanical properties of the joint.

• YSZ was brazed to itself and to Crofer22-APU® using Ag-

Cu-Ti alloys.

• Commercial alloys: Ticusil® (4.5%Ti) and Cusil-ABA®

(1.5%Ti) were evaluated for joining efficiency at 900°C for

15, 30, and 60 minutes in vacuum (~6 x 10-6 torr.).

• Optical microscopy, electron microscopy, dispersive energy

spectroscopy (SEM-EDS), and X-ray diffraction (XRD) were

carried out in order to study the interface YSZ/Ag-Cu-Ti.

• YSZ reacted with the active filler metals (Ag-Cu-Ti) to

form a reaction layer at the interface. This reaction layer

was rich in Ti and the presence of - TiO was confirmed using XRD analysis and SEM-EDS.

• The thickness of the reaction layers was a function of

the Ti content in the filer metal. Reaction layers for

Ticusil® as a filler metal were larger than Cusil-ABA®.

• The main goal is to develop a sound seal between the

interconnect and the electrolyte that withstand operating temperatures up to 1000°C, using novel materials.

YSZ

Ticusil®

Interface 2.0 mm

XRD spectra of interface YSZ/Ticusil®, 900°C, 60’. (a). Pure YSZ, (b).

HNO3 etched interface YSZ/Ticusil®, (c). Ground interfaceYSZ/Ticusil®.

2θ

(a)

(b)

(c)

1: Monoclinic ZrO2

2: Tetragonal ZrO2

3: γ-AgTi3

4: δ-TiO

YSZ Ticusil® YSZ

Ti

Ag

Cu

Zr2.0 μm

Braze metal

YSZReaction layer


34

Advanced Sensor Development forLife Assessment of Power Plants

J. Ernesto Indacochea & Ming L. Wang, Civil & Materials EngineeringNational Science Foundation



• The societal needs for greater energy, demand larger

power outputs. Higher yields are possible by exposing

plant components to higher temperatures; this will

hasten materials degradation or creep and their end life.

• Accurate damage appraisal is needed for effective plant

maintenance and repair, as well as for remaining life

assessment of components for safe operation.

• The electromagnetic response of the material is affected

by the microstructural changes due to damage and this is

assessed by means of advanced sensors.

• Systematic creep microstructural changes are induced and

assessed in conjunction with their magnetic properties. The

magnetic responses are measured with hysteresis curves.

• The material creep damage is measured by changes in

grain size, dislocations density, micro particle precipitation

and coarsening, void formation, and coalescence

• The microstructure changes affect the pinning factor of the

magnetic domain walls (k) during magnetization; this is

reflected in variations of the magnetic hysteresis curves,

which is then use to estimate the creep degradation level.

• Accurate identification of the stages allows for better

component maintenance and remaining life prediction.

• An extension of the Jiles-Atherton model of magnetic

hysteresis to evaluate creep changes was attained to

closely check the progress of the pinning domain factor.

• In the final creep stage, void coalescence cuses the most

significant changes in the magnetic hysteresis of steel.

• Extend the validity of the sensor to similar failure

mechanisms such as like radiation damage in nuclear

power plants.(1 ) a a

a

o

M M dMdM dHc c

dt dt dtM Mk

Strain -Time

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0 100 200 300 400 500 600 700 800 900 1000

Time (Hours)

Str

ain

-1.6

-1.2

-0.8

-0.4

0

0.4

0.8

1.2

1.6

-6000 -4000 -2000 0 2000 4000 6000

H (A/m)B

(T

es

las

)

Spent Life:

18 % :

33%

63%

76%

Simulation of Thermodynamics and Flow Processes at

Nano ScalesSuresh K. Aggarwal, Mechanical and Industrial Engineering

1) Molecular Dynamics Simulation of

Droplet Evaporation, Int. J. of Heat &

Mass Transfer, 46, pp. 3179-3188,

2003.

2) Molecular Dynamics Simulations of

Droplet Collision. M.S. Thesis, K.

Shukla, 2003.

• Use of Monte Carlo and Molecular Dynamics

methods to investigate thermodynamics and

flow processes at nanoscales

• Dynamics of droplet collision and interfacial

processes

• Interaction of a nanodroplet with carbon

nanotube

• Solid-liquid Interactions and NanolubricationVaporization of a non-spherical nano-droplet

0

10

20

30

40

z

0

10

20

30

40

50

60

70

80

x0

10

20

30

40y

X Y

Z

1000 Steps

MD simulation of the collision

between two nano-droplets


35

Nanocrystalline Carbide Derived Carbon for Tribological ApplicationsInvestigators: Michael McNallan, Civil and Materials Engineering, UIC; Ali Erdemir, Argonne

National Laboratory Prime Grant Support: U.S. Department of Energy



• Mechanical Seals and bearings fail due to frictional

heating and wear

• Materials used are hard ceramics, such as SiC or WC

• Friction can be reduced by coating with carbon as

graphite or diamond

• Graphitic coatings are not wear resistant

• Diamond coatings are wear resistant, but fail by

spallation or delamination from the underlying ceramic

• Produce a low friction carbon layer by chemical

conversion of the surface of the carbide

• SiC(s) + 2Cl2(g) SiCl4(g) + C(s)

• At temperatures < 1000oC, carbon cannot relax into

equilibrium graphitic state and remains as Carbide

Derived Carbon (CDC)

•CDC coating contains nano-porous amorphous C,

fullerenes, and nanocrystalline diamond

• CDC is low friction, wear resistant, and resistant to

spallation and delamination

• CDC has been produced in the laboratory

• It‟s structure and conversion kinetics have been

characterized

• Tribological performance was verified in laboratory and

industrial scale pump tests with water

• CDC was patented and selected for an R&D 100 Award

in 2003

• CDC was Licensed to Carbide Derivative Technologies,

Inc.in 2006

• Scale up to industrial production rates, characterization

of process reliability and testing in specific industrial

environments is the next goal.

max. safe

temperature

SiC-CDC

SiC-SiC

Pump seal face temperature during dry running at 4000 rpm

With and without CDC coating

Conceptual Understanding of Nanoscale Self-AssemblyUIC Investigators: Tom Moher, Andy Johnson, John Bell, Computer Science,

Carmen Lilley, Mechanical Engineering, Jim Pellegrino, Psychology

Prime Grant Support: National Science Foundation (Nanotechnology Center for Learning & Teaching,

PI: Robert Chang, Northwestern; Grant partners: Northwestern, UIC, Michigan, Purdue, UIUC)



• Developing capacity for research advances in

nanoscale science and engineering is a critical national

priority

• Nanoscale concepts are essentially unrepresented in

today‟s middle and high school curricula

• Self-assembly is an accessible phenomenon that can

be studied with context of design.

• Little is known about effects of representation and

sequencing of instruction on learning at nanoscale

• Develop conceptual inventory (learning goals) of

nanoscale phenomena

• Situate conceptual inventory within national (AAAS and

NRC) standards for science learners

• Test effectiveness of tangible and computer-based

models of self-assembly in virus detection applications

• Test effectiveness of “design-first” vs. “domain-first”

instructional sequencing in molecular self-assembly

• Assess understanding of 2-d and 3-d electric field

models for understanding dielectrophoresis

• Articulation of self-assembly conceptual inventory

• Developed tangible and computer simulations models of

molecular self-assembly, virus detection, electric field

strength and gradients

• Classroom testing in urban middle schools, UIC

undergraduates (Spring, Fall 2007)

• Continued research on understanding of representational

affordances and instructional sequencing on learners‟

understanding of nanoscale self-assembly

• Development of K-16 instructional materials


36

Printing Electronic Circuitry with Copper SolutionsInvestigators: C. M. Megaridis, Mechanical and Industrial Engineering; C. Takoudis,

Bioengineering; J. Belot, Univ. Nebraska-Lincoln; J. McAndrew, Air Liquide, Inc.

Prime Grant Support: Air Liquide



• Patterned metal films are essential to a wide range of

applications ranging from printed circuits, to thin-film

displays and electrodes in biomedical implants

• Inkjet printing has environmental benefits while

offering flexibility, cost savings, and scalability to large

area substrates

• Initial focus on Copper due to its very low resistivity.

Future extension to bio-compatible metals

• Homogeneous metal inks eliminate obstacles

encountered while using nanoparticle ink suspensions

• Synthesis of metal compounds as primary ingredients

of homogeneous inks

• Ink physical and rheological properties (viscosity,

surface tension) optimized for printability

• Printing tests for optimal line formation; thermal

treatment to reduce the deposit to pure metal; final

product testing/evaluation

• X-ray photoelectron spectroscopy and electron

microscopy used to characterize deposit chemical

composition and surface quality

• Candidate organocopper compounds and solvents

have been identified, providing facile decomposition to

metallic copper (removal of ligands + reduction of Cu2+

to Cu0), and copper content > 10% wt.

• Copper lines printed in the laboratory indicate that

homogeneous solutions of organocopper compounds

can be developed with suitable properties for ink-jet

printing

• Research has the potential to catapult progress in

metal ink fabrication and in-situ formation of metallic

lines with feature size in the 10-100 m range

Modeling Multiphase Fluids Trapped in Carbon NanotubesA. L.Yarin and C. M. Megaridis, Mechanical and Industrial Eng., UIC;

Y. Gogotsi, Drexel Univ.




• To explain the experimentally observed evolution of

water volumes encased in carbon nanotubes (CNTs)

• To develop a quantitative theory describing the related

phenomena

• To compare model predictions with the experimentally

recorded evolution patterns

• Physical estimates of the energy flux in electron

microscope delivered by the electron beam to liquid

volumes encapsulated inside carbon nanotubes

• Continuum model of mass diffusion and heat transfer,

which also accounts for intermolecular interactions

• Agreement of the model predictions with the

experimental data was good

• Direct heating experiments conducted and confirmed

the proposed thermal mechanism

• A new phenomenon was explained on the physical

level

• A new continuum equation accounting for

intermolecular interactions was proposed

• Experimental results for hydrothermal CNTs in

transmission electron microscope were explained and

described

• Experimental results for CVD-produced CNTs in the

Environmental SEM were explained and described

• Preliminary calculations for nanofluidic applications

were conducted and can be extended in future


37

Fundamental Design of NanocatalystsRandall J. Meyer, Chemical Engineering Department

Prime Grant Support: NSF, PRF

Collaborations

Technical Approach

Future Goals • Support effects in selective

partial oxidation of propylene to

propylene oxide

• Cheaper more efficient deNOx

catalysts for lean burn exhaust

using core/shell Pt catalysts

• CO hydrogenation to produce

ethanol selectively

• Electronic structure/reactivity

relationships in transition metal

alloy catalysts


Thin Metal

Oxide Film

Metal Single

Crystal

Supported Metal

Cluster

• Clusters are deposited on

oxide substrates using

organometallic precursors

• Density Functional Theory

Calculations complement

experimental work

• Michael Amiridis, University of South Carolina and Mike Harold,

University of Houston, Optimizing bimetallic alloys in NOx storage

reduction systems

• Bruce Gates, University of California at Davis, Support effects in

reverse hydrogen spillover

• Jeff Miller, Argonne National Lab, Size and support effects in

adsorption behavior of Pt nanoparticles

• Preston Snee, UIC (Chemistry), Synthesis of novel non-oxide

visible light water splitting photocatalysts

• Mike Trenary, UIC (Chemistry), Reactions of N atoms and

hydrocarbons on Pt(111)

• Finite fossil fuel reserves dictate that new solutions must

be found to reduce energy consumption and decrease carbon use

• New processes must be developed to handle renewable feedstocks

• Current design of catalysts is often done through trial and

error or through combinatorial methods without deep

fundamental understanding

• Our group seeks to combine experimental and theoretical

methods to provide rational catalyst design

Co-electrospinning of Core-Shell Fibers Using a Single-Nozzle Technique

Investigators: A.V. Bazilevsky, A.L. Yarin, C. M. Megaridis,

Mechanical and Industrial Engineering



• Ordinary co-annular nozzles used in co-

electrospinning have a number of drawbacks; good

concentricity is difficult to achieve; core entrainment is

also not automatic.

• Eliminating the co-annular nozzle feature in co-

electrospinning would accelerate progress in this area.

• Co-electrospinning of core-shell fibers from a single

nozzle is possible when polymer blends are elecrospun.

• PMMA/PAN blends in DMF solvent transform into

emulsions of PMMA/DMF droplets in PAN/DMF matrix.

•The emulsions, when electrospun, produce a Taylor

cone where PMMA/DMF droplets are trapped in the tip of

the PAN/DMF matrix.

• The trapped droplets form the fiber core, whereas the

surrounding PAN forms the shell.

• The as-spun core-shell fibers are carbonized by heat-

treatment to produce hollow carbon nano/microtubes.

• Co-electrospinning from a single nozzle has been

demonstrated.

• A related theory of the process has been proposed.

• Core-shell fibers were carbonized and carbon

microtubes were produced.

• In the future, these carbon microtubes will be used in

microfluidics experiments.

• Scale down of the process should be achieved to

fabricate hollow nanotubes.


38

Solubility of Gases in Liquids Under Extreme ConditionsInvestigators: Huajun Yuan, Cynthia Jameson and Sohail Murad

Primary Grant Support: National Science Foundation, Dow Chemical Company



• Needs for Better Physical Property Model

• Industrial Interest – Safe Storage of Liquids at Extreme Conditions

• Understand Molecular Basis For Chemical Shift in Liquids

•Explain At the Fundamental Molecular Level the Close Relation

Between Chemical Shift and Solute-Solvent Interaction Potential

• Use This Information to Develop Strategies For Better Design of

Solute-Solvent Interaction Potentials, and Provide a Better Estimation

of Henry‘s Constant (Solubility of Gases in Liquids)

• Use Molecular Dynamics Simulation to Model Chemical Shift of

Gases in Alkanes

• Determine the Key Parameters of Solute-Solvent Interaction

Potential.which Affect the Solubility

• Use Molecular Simulation for Chemical Shift Calculation as a

Quick Screening Tool for Improving the Intermolecular Potential.

•Estimate the Solubility of Gases in Liquids using the Improved

Potential Model.

• Determined the Key Parameters of Solute-Solvent Interaction

Potential, Improved the Potential for Better Solubility Estimations.

• Calculated the Gas Solubility of Xenon in Different Alkanes at

Different Temperatures. Showed that Improved Agreement with

Chemical Shift Resulted In Better Solubility Results

• Able to Use Modified Potential Model to Get Better Estimations of

Solubility of Gases In Liquids, Especially under Extreme Conditions

Which are Difficult to Measure Experimentally.

Ultra-Fast Optochemical Sensor for Express Monitoring of

Oxyhydrogen Gas Mixtures in Combustion and Catalysis

Eduard G. Karpov, Civil & Materials Engineering, University of Illinois at Chicago


Technical ApproachKey Achievements and Future Goals

• Measuring the concentrations of simple gas-phase

radicals (H, O, OH) is difficult due to the short lifetimes

• Standard methods (paramagnetic resonance, optical

and mass spectroscopy, etc.) are often slow, and

insufficiently focused to be applicable to local regions of

interest, microflames, nanocatalysis, and other nano

applications.

• There is a great potential for fast and reliable sensors

with a fast response, and short repetition/measurement

cycle, for measuring oxyhydrogen radicals content in gas

mixtures.

• “Atomic probe” procedure is developed to select an

appropriate sensor core material (with dominant Eley-

Rideal channel of radical recombination across the sensor

range). Also, the material is selected to have

luminescence properties, ZnS-Cu, ZnS-Tm, CaO-Bi, etc.

Surface radical recombination invokes e-h generation with

successive recombination on the luminescence centers

(dopants).

• The atomic probe procedure is used also to provide the

etalon flow of radicals for sensor self-calibration.

• Ratio of background luminescence intensity and

intensity pikes due to the etalon flow is proportional to the

sought concentration of radicals in the gas phase.

• Ultra-short response times of up to 10–7 s, and high

repetition rates of 0.5-1.0 measurement per second.

• High robustness and repetitiveness of the data (O and

H).

• Approach excludes any spurious effects of sensor

surface transformation. Approach eliminates the need for a

preliminary preparation of the sensor surface.

• Simplicity: etalon flow can be formed by a simple

pyrolytic source (typically a platinum filament);

luminescence intensity is measured by a standard

photometric equipment.

• The approach can be extended to the analysis of (photo)-

catalytic properties of solid surfaces.

O-radicals

H-radicals


39

Electrical Properties for Metallic NanowiresInvestigator: Carmen M. Lilley, Mechanical Engineering



•Successful integration of nanosystems into

microelectronics depends on stable material properties

that are reliable for at least a 10 year lifecycle with over

a trillion cycles of operation.

•Fundamental understanding of the physics of

deformation and failure in nanometer scale capped or

layered structures, where surfaces play a dominant role,

does not exist. Prior work has mostly focused on

monolithic nanometer scale materials.

•Identify surface contaminants present in as-synthesized

nanowires according to metallic, organic, and mixed-

materials classifications.

•Measure the electrical properties of as-synthesized

nanowires and identify contamination effects on electrical

properties with an accuracy of 5%.

•Measure the stability of electrical properties of nanowire

under accelerated electrical testing and classified

according to structure.

• Preliminary results on measuring the presence of

surface contaminants and their influence on electrical

properties completed.1

•In depth study on size and surface effects on

electromigration for Cu and Au nanowires have been

performed.2-4

• Additionally, this work has been extended to studying

electron surface scattering for single crystalline Ag

nanowires.

FIG. 1: (a) Micrograph of a Ag nanowire under 4-

probe I-V measurement, (b) STM scan of the cross-section from left-to-right, (c) line scan profile of

cross-section from left-to-right (solid curve) and right-to-left (dashed curve).

FIG. 2: Electromigration of a Cu

nanowire with the current stress of 4.2

mA (length = 2.04 µm, width = 90 nm, and thickness = 50nm): (a) 0 min, (b) 40

min, (c) 80 min, (d) 120 min, and (e) 137.5 min.

[1] C. M. Lilley, Q. J. Huang, Applied Physics Letters 2006, 89, 203114. [2] Q. J. Huang, C. M. Lilley, M. Bode, R. Divan, Journal of Applied Physics 2008, 104, 23709.

[3] Q. Huang, C. M. Lilley, R. Divan, Nanotechnology 2009, 20, 075706.

[4] Q. Huang, C. M. Lilley, R. S. Divan, M. Bode, IEEE Transactions in Nanotechnology 2008, 7, 688.]

Surface Effects on the Overall Young’s Modulus of FCC

Metal NanowiresInvestigator: Carmen M. Lilley, Mechanical Engineering



• Surface effects, such as a surface elastic modulus and

surface stress have been predicted for FCC NWs from

atomistic simulations.

• Experimentally, elastic modulus measurements of

FCC metal NWs have been found to vary widely. Some

results indicate apparent size effects, other studies

indicate no size effects.

• For Nanoelectromechanical Systems (NEMS),

accurate elastic properties are necessary to design devices.

• Model the elastic bending behavior of face centered cubic

(FCC) metals with continuum mechanics.

•Apply Young-Laplace Theory to study transverse load

effects as a result of surface stress of nanowires (NWs)

due to undercoordinated atoms at the surface.

• Study the influence of boundary conditions on the

resultant bending mechanical behavior of nanowires.

•Test hypothesis that surface stress and boundary

conditions affect the apparent elastic modulus of NWs.

• Derived analytical solutions for NWs under static and

dynamic bending.1,2

• Validated theory that surface stress and boundary

conditions affect the apparent elastic modulus measured

experimentally. 1,2

• Proposed a surface effect factor as a qualitative

parameter predict the influence of surface stress and

geometry on the elastic behavior of static bending

nanowires.1,2

•Extending the method to large deformation of nanowires

for application to NEMS resonators.3

Modeling Surface Stress Effects on the Static Bending Behavior of Nanowires (NW). (a)

Schematic of the undeformed and deformed NW centerline. (b) Cross-sectional view of a

rectangular NW with the surface highlighted. (c) Cross-sectional view of circular NW with

the surface highlighted..

Undeformed NW centerline

Deformed NW centerline

x

p(x)=Hv''

v

(a)

(b) (c)

O

y

z

y

zOθ

Left

Top

Right

Bottom

w

tD

t1

t1

Surface

Note: Drawings are not to scale.

[1] J. He, C. M. Lilley, Nano Letters 2008, 8, 1798.

[2] J. He, C. M. Lilley, Applied Physics Letters 2008, 93, 263108.

[3] J. He, C. M. Lilley, Computational Mechanics In Press.


40


















molecules







• Calculated how different solvent affect protein‟s




materials

Rapid Thermal Annealing used for refreshing Tin Oxide nanowire chemical sensors and Improving their Crystalline quality.

Investigator: Mitra Dutta, ECE. Support from NASA Ames Research Center


• Annealing at specific conditions and environment

would refresh the Tin Oxide nanowire used in gas

sensing applications.

• Minimization of defects in nanowires which

determine the electrical and optical properties for high

performance applications.

Technical Approach

• Synthesis of Tin Oxide nanowires using a special

carbothermal reduction process.

• Identifying various inherent structural defects in

nanowires and understanding their role in modifying the

electronic and optical properties using various

experimental characterization techniques.

• Obtain a specific Annealing condition which would

serve to minimize the defects as well pre-charge/refresh

the nanowires for future gas sensing applications.


• Nanowires of various diameters have been synthesized

in large scale.

•Intrinsic defect levels/states/traps have been identified

and minimized by annealing in oxygen and nitrogen under

specific conditions. Luminescence and structural

properties of the wires have improved/changed by a

significant extent post annealing.

•Specific annealing condition used for refreshing

nanowires has been obtained.

•Ultimate goal is massive integration of tin oxide

nanowires for gas sensing and nuclear radiation detection.


41

Long Wave Infrared Hot Electron Transistor (IHET)Investigators: Mitra Dutta, ECE

Primary Grant Support: Intelligent Expitaxy Technology and MDA

Problem Statement and MotivationProblem Statement and Motivation

Technical ApproachTechnical Approach Key Achievements and Future GoalsKey Achievements and Future Goals

• Robust low cost Infrared photodetectors as well

as those with room or near room temperature

operation

• Quantum well infrared photodetectors (QWIPs)

due to the well developed mature GaAs technology

• High-pass filter for the photocurrent which blocks

the tunneling dark current

•InxGa1-xAs/AlyGa1-yAs multi quantum wells, three

terminal structure grown by molecular beam

epitaxy

•Modeling of electrical properties based on its

composition and doping

•Investigation of structural, optical and transport

properties by means of transmission electron

microscopy, x-ray diffraction, Photoluminescence,

Raman spectroscopy, current-voltage

measurement

• The atomic resolution images and x-ray diffraction

patterns verified a lattice matched and band-gap

engineered device structure of IHET.

•Photoluminescence data indicated the

composition and a deep energy level in hot electron

filter

• Current-voltage data showed high-pass filter

blocks the tunneling dark current, with resulting

satisfactory detectivity

• Optimization of the composition, thickness, and

doping of high-pass filter

[ 100]

[ 011]

[ 011]

50nm Al0.21Ga0.79As

5nm Al0.21Ga0.79As

3.5nm In0.1Ga0.9As

Al0.21Ga0.79As filter40nm graded150nm GaAs

1 m GaAs

Quantum Well

Infrared

Photodectetor

(QWIP) with a energy

filter between base and collector

Charge transport in nanocomposite systemsInvestigators: Mitra Dutta, ECE and Michael A. Stroscio (ECE and BioE)

Primary Grant Support: ARO AFOSR



• Semiconductor nanocrystals functionalized with

conductive polymers promote efficient charge

transfer

•Low cost, light weight and tunable conductivities

• Explore the application of nanocomposite

heterostructures in novel electronic and

optoelectronic devices

• Fabrication of nanocomposite heterostructures

incorporating semiconductor quantum dots and

inorganic polymers

• Numerical modeling of the electrical properties

• Experimental characterization with optical and

electrical measurements

• Different types of nanocomposite heterostructures

have been synthesized

• Electrical and optical properties have been studied

with modeling and experimental methods

• Developing high efficiency photodetectors and

solar cells


42

Colloidal Quantum Dots and Photosystem-I CompositeInvestigators: Mitra Dutta (ECE)and Michael Stroscio, ECE &BioE

Primary Grant Support: ARO, AFOSR



• Organic-inorganic hybrid structures enable

integration of useful organic and inorganic

characteristics for novel applications such as solar

cell, chemical sensors, and fluorescent biotags.

•Energy transfer in the composite of inorganic

quantum dots (QDs) and photosystem I (PS-I) is not

understood although it is very important and well studied for photosynthesis.

•Synthesis of the composite of inorganic CdSe

QDs and organic PS-I

•Experimental measurement of the energy transfer

between QDs and PS-I


properties by means of photoluminescence, time-

resolved photoluminescence, absorption,

capacitance-voltage and current-voltage

measurements

• Observed energy transfer from CdSe QDs to PS-I

by optical and electrical measurements.

•Photoluminescence data and absorption data

show that the energy of excited carriers of CdSe

QDs to PS-I by means of radiative emission, FRET,

and electron/hole transfer between the inorganic-

organic system.

•I-V measurement data are sensitive to incident

light in the composite CdSe QDs/PS-I material.

•Further studies continue to identify each energy

transfer method.

0

1

2

3

4

5

6

7

8

Evac

(eV)- 4

- 3

- 2

- 1

0

+1

+2

+3

NEH(V)

Ec

Ev

LUMO

HOMO

CdSe QDs PS- I

Fluorescence

hv

En1

Eh1

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Glas

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Coordinated Manipulation Methodology for Nanomanufacturing Investigator: Laxman Saggere, Mechanical and Industrial Engineering




Motivation: Nanomanufacturing is highly critical for building new

functional and useful products. Nanomanufacturing via assembly-

based approach is very promising to fill the void between the current

“bottom-up” and “top-down” approaches and enable assembly of

building blocks in future NEMS. However, despite recent advances,

currently available tools and techniques for mechanical manipulation

of micro/nano-scale objects are lacking in dexterity to accomplish

complex assembly of nano-scale objects. For the ultimate success

of assembly-based nanomanufacturing, a micromanipulator tool with

high-degree of dexterity beyond those provided by current simple

cantilevers and parallel jaw grippers and tweezers is required.

Objectives: To investigate the principles and fundamental issues in

a novel manipulation methodology based on the coordinated action

of multiple agile fingers at a chipscale to accomplish controlled

contact manipulation tasks such as grasp, rotate, regrasp, move and

position micro- and nano-scale objects in a defined 2D workspace.

The approach involves a novel chipscale micromanipulator

comprised of four (or more) tiny compliant fingers, each of which

can be independently actuated by integrated piezo actuators. By

providing controlled actuation, the fingers can be guided to move

in-plane and coordinate with each other to carry out controlled

manipulation tasks such as grasp, rotate, move point-to-point and

position micro- and nano-scale objects and perform assembly

operations in a defined 2D workspace in the plane of the chip.

The actuation, and thus, the motion of the micromanipulator

fingers can be controlled by means of external user inputs via a

gaming controller or a programmed software and visual feedback

of locations and motions of the fingers/objects on a video monitor.

Key Achievements: A novel micromanipulation system comprised

of a multifingered micromanipulator chip integrated with piezo

actuators and enclosed in a precision-machined custom housing

has been developed. This micromanipulator system enables highly

dexterous manipulations of micro-scale objects on the chip by

coordinated action of the fingers when controlled in a close-loop by

external user inputs supplied via a wireless gamming controller.

Future Goals: To achieve high precision coordinated manipulation

of micro/nano-scale objects incorporating a more sophisticated

position/force feedback and a fully programmed motion planning for

assembly of the objects in the manipulator workspace.

MIE –Microsystems and Nanotechnology

SEM of the micromanipulator chip Integrated micromanipulator system

Experimental setup including user control inputs and visual feedback

A 20- m sphere gripped & moved by two fingers

A 20- m sphere rotated between two fingers

A micro-object gripped & moved by the fingers

A micro-object rotated between two fingers


43

Giant Quasi-Slip in Flows in 500 nm Carbon Nanotubes

S.S. Ray, P. Chando, Prof. A.L. Yarin (MIE, UIC)NSF-NIRT CBET-0609062, NSF-EEC 0755115



• Laminar pressure-driven flows in carbon nanotubes

• Bi-layer flows of liquid and gas

• Nanofluidics

• Nanoreactors

• Drug delivery

• Electrospinning was used to produce polymer

nanofibers, which served as templates for nanotubes

• Parallel arrays of thousands of nanofibers were

embedded in polyacrylonitrile (PAN) strips

• Thermal treatment was used to carbonize PAN and

eliminate the template nanofibers to make hollow

channels

• Bi-layer n-decane/air flows were discharged in water,

which allowed for measurements of the flow rate via

observations of the liquid/liquid and liquid gas interfaces

• Published in S.S. Ray, P. Chando, A.L. Yarin.

Nanotechnology 20, 095711 (2009)

• It was demonstrated experimentally and theoretically

that bi-layer liquid/gas flows can result in an over-limiting

flow regime

• In the over-limiting regime a higher flow rate of liquid

can be achieved as compared to the case when the

same liquid flows through the same tube subjected to the

same pressure drop and occupies the whole bore. This

means that it is possible to release more liquid than

predicted by the Poiseuille law, even though in the bi-

layer flow liquid does no occupy the whole cross-section

• The result effectively means a forced giant quasi-slip

• Nanofluidics, polymerization nanoreactors,drug delivery

Nanotube exits and velocity profile

Stimuli-Responsive Polymer Nanofibers

Y. Zhang, Prof. A.L. Yarin (MIE, UIC)



• Water insoluble novel NIPAM-based copolymers

• Swelling/shrinkage in response to temperature

variation

• Swelling/shrinkage in response to pH variation

• Controlled drug release

• Triggering at pH of 6.5 characteristic of cancer tumors

• Co-polymerization of thermo-responsive NIPAM-PMMA

copolymers

• Co-polymerization of pH-responsive NIPAM-PMMA-AA

copolymers

• Electrospinning of nanofiber mats loaded with a model

compound-fluorescent dye

• Thermo- and pH-activated periodic dye release

• To appear in Y. Zhang, A.L. Yarin. J. Materials

Chemistry (2009)

• Water insoluble novel NIPAM-based, thermo- and pH-

responsive copolymers were synthesized

• They can distinguish between cancer tumors (pH 6.5)

and normal tissues (pH 7.4) and release an anti-cancer

drug in a highly localized manner eliminating severe side

effects

• Future experiments should involve real anti-cancer

drugs

• Drug delivery with nanobots: carbon nanotubes

containing anti-cancer drugs and capped with these

stimuli-responsive copolymers

44

COMPUTING AND INFORMATION TECHNOLOGY

Research projects in Computing and Information Technology include activities such as computer

simulation of engineering techniques, real-time multimedia processing, computer security,

computer networking and high-resolution display. This research thrust area is populated by

faculty from many departments, including bioengineering, chemical engineering, civil and

materials engineering, computer science, electrical and computer engineering, and mechanical

and industrial engineering.

For an on-line view of the quad-charts in the Computing and Information Technology area, visit

the College of Engineering‘s research web page at the following URL:




45

Advanced Membrane Based Water Treatment TechnologiesSohail Murad, Chemical Engineering Department

Prime Grant Support: US Department of Energy



• Understand The Molecular Basis For

Membrane Based Separations

• Explain At The Fundamental Molecular Level

Why Membranes Allow Certain Solvents To

Permeate, While Others Are Stopped

• Use This Information To Develop Strategies

For Better Design Of Membrane Based

Separation Processes For New Applications.

• Determine The Key Parameters/Properties Of The

Membrane That Influence The Separation Efficiency

• Use Molecular Simulations To Model The Transport Of

Solvents And Solutes Across The Membrane?

•Focus All Design Efforts On These Key Specifications To

Improve The Design Of Membranes.

•Use Molecular Simulations As A Quick Screening Tool

For Determining The Suitability Of A Membrane For A

Proposed New Separation Problem

• Explained The Molecular Basis Of Reverse Osmosis in a

Desalination Process (Formation of Solvated Ionic Clusters).

• Used This Improved Understanding To Predict The Zeolite

Membranes Would Be Effective In Removing A Wide Range

Of Impurities From Water.

• This Prediction Was Recently Confirmed By Experimental

Studies Carried Out In New Mexico.

• Showed That Ion Exchange Is Energetically Driven Rather

Than Entropic. Explains The More Efficient Exchange

Between Ca And Na In Zeolites.

Semi-permeable Membranes

S

OL

V

E

N

T

S

OL

U

T

I

O

N

S

OL

U

T

I

O

N

Recycling Regions

Solvated Ion Clusters Prevent

Ions from Permeating the

Membrane

Simulation and design of microfluidic lab-on-chip systems

Investigator: Ludwig C. Nitsche, Chemical Engineering Department

Prime Grant Support: USIA Fulbright Commission



• Developed novel cohesive chemical

potential that models interfaces more simply

than previous volumetric formulations and

also includes diffusion.

• Treated surface wetting and contact angles

through suitable adhesive force laws.

• Development of simulations of lab-on-chip

assay and sensor reactions is underway.

• “Smart swarms” of particles automatically

solve for low-Reynolds-number fluid dynamics

and catastrophic evolutions of phase and

surface geometry (surface wetting,

coalescence, rupture, reaction).

• Hydrodynamic interaction kernels and

interfacial forces can be extended to include

molecular effects.

• Wavelet compression of summations vastly

increases computational speed.

• Develop fast, predictive computer

modeling capability for droplet formation,

motion, mixing and reaction in micro-

channels and lab-on-chip systems.

• Merge continuum hydrodynamic models

with molecular dynamics for nano-fluidic

applications.

• Design and optimize -unit-operations for

sensors and chemical analysis.

Hydrodynamic

interaction kernel

Wavelet compression

of hydrodynamic

information for fast

summations

Surface wetting


46

Real-Time Distributed Multiple Object TrackingInvestigators: Dan Schonfeld, ECE; Wei Qu, ECE; Nidhal Bouaynaya, ECE

Prime Grant Support: Motorola, Inc., NeoMagic Corp.



• Video Surveillance (Activity Monitoring)

• Video Communications (Virtual Background)

• Video Enhancement (Handheld Camera Quality)

• Video Animation (Virtual Conference Room)

• Video Steroegraphy (3D from a Single Camera)

• Video Retrieval (Visual Search Engine)

• Particle Filter

• Motion Proposal

• Detection Proposal

• Real-Time (No Offline Processing Required)

• Very Fast (Few Particles Required)

• Low-Power (Embedded Processors)

• Complete Occlusion (Hidden Targets)

• Multiple Camera Tracking (Information Fusion)

• Video Auto-Focus (Fixed Lens Camera)

• Video Stabilization (Handheld & Vehicle Vibrations)

• Randomly Perturbed Active Surfaces (Robust Contour)

. . .. . .

. . .

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tx

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2

2z

1

2z 1

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tz

• Magnetic-Intertia Model

• Interactive Distributed Model

• Mixture Hidden Markov Model

Architectural Integration of Software ProtectionInvestigator: Gyungho Lee, ECE dept.

Primary Grant Support: NSF



• instruction-level program behavior description with

execution path• Achievement

• program counter encoding for low cost control

flow validation

• augmented branch predictor for complete control

flow validation

• Future

•Data Flow Validation

• Industrial Control System - SCADA

• mobile devices – 4G cell phone environment


47

Neural Dynamic Programming for Automotive Engine ControlInvestigator: Derong Liu, Department of Electrical and Computer Engineering

Prime Grant Support: National Science Foundation and General Motors



• Automobile emissions are a major source of pollution

• Exhaust air-to-fuel ratio control to reduce emission

• Engine torque control to improve driveability

• On-board learning to deal with vehicle aging effects

• Reduced emissions - Environmental benefit

• Better fuel efficiency - Economic benefit

• Dynamic programming minimizes a cost function

• Neural network approximation of the cost function

• Neural network controller to minimize the cost function

• Approximate optimal control/dynamic programming

• Initial controller will be trained off-line using data

• Controller is further refined through on-line learning

• Controller performance is improved with experience

• Self-learning controller for better transient torque

• Self-learning controller for tighter air-to-fuel ratio

• Neural network modeling of automotive engines

• Neural network modeling of several engine components

• Other potential application: Engine diagnostics

• Short term goal: Collaborate with industry

• Long term goal: Implement our algorithms in GM cars

Computational Intelligence Laboratory

Energy-Efficient Wireless SensingInvestigator: Yingwei Yao, ECE



• Limited resources (energy budgets and processing

capabilities) of wireless sensors

• Harsh wireless communication channels subject to fading,

shadowing, and interference

• Existing works focus on communication-oriented metrics

such as data rates and bit error rate, instead of sensing

performance

• Existing works treat sensor data as generic data and do not

exploit its structure

• A cross-layer design approach to develop information-driven

fusion protocol that allows the fusion center to collect data

most relevant to sensing tasks with minimal delay.

• An energy efficiency perspective to evaluate the energy

consumption implications of various design options and to

develop communication protocols suitable for sensors

operating on tiny batteries.

• We have developed a group-ordered sequential probability

ratio test that greatly reduces the number of bits needed to be

transmitted to reach a target sensing performance.

• We have investigated the asymptotic performance of a sensor

network and proved that multiple relaying is asymptotically

optimal.

• We will develop energy-efficient information-driven random

access protocols for wireless sensor networks.

System Model

A sensor network with many sensors and a fusion center.


48

Human Activity Scripts and Queries for Video Databases

Principal Investigator: Jezekiel Ben-Arie, ECE Dept.


.

.

An Example of a query composition of human activity

along a trajectory. The humanoid then animates it for

visual feedback.

Technical ApproachOur Approach: is to represent human motion by novel

temporal scripts that define the 3D pose and velocity of

important body parts. The human body is represented by

an hierarchic structure. This enables not only efficient

representation but also robust recognition from any

viewpoint. The user is also allowed to interactively

compose practically any desired motion query and to

view it.


This project is focused on the development of methods

and interactive tools that enable efficient querying,

recognition and retrieval of video clips in a video

database of human motion. Natural and symbolic

languages are not suited to accurately describe human

motion.


An innovative method for human motion Recognition

by Indexing and Sequencing (RISq) was developed.

The RISq requires only few video samples. An

interactive GUI based tool for composing articulated

human motion was also established.

This project has also broader Impacts. Since our

interactive-graphic approach does not require reading

or writing, it could be also applied to enhance the

creativity and educational participation of groups such

as children in authoring animated plays and movies.

Our future goals is to extend the range of activities and

the number of persons that can be composed. We are

also extending our activity recognition system –RISq

(which is currently patent pending) to include speech and object recognition.

Efficient Visual TrackingInvestigators: Rashid Ansari, ECE; Ashfaq Khokhar, ECE/CS

Prime Grant Support: NSF, U.S. Army



• Real-time visual tracking is important in automated video

scene understanding for applications such as surveillance,

compression, and vision-based user interfaces

• Visual Tracking: Locate moving objects from visual cues.

• Low computation complexity (Real-time requirement)

• Tracking rapid motion, in presence of occlusion (self and

foreign-body)

• Tracking multiple objects using multiple cues

• High dimensionality (articulated human body tracking)

• Combine particle filtering with efficiency of mean shift

tracker.

• New formulation of visual tracking in a set theoretic

framework.

• Graphical models (Markov Random Field and

Bayesian Network) provide high-level modeling for

single object and multiple object tracking in high-

dimensional spaces.

• Real-time tracking with improved efficiency compared

with the standard particle filter-based tracker by 20-40%.

• Improved performance with robust tracking under rapid

motion

• Handles partial occlusion and short-time full-occlusion

• Naturally extends from single to multiple object tracking

• Convenient fusion of multiple cues (no pre-adjustment

of tracker needed). Easy incorporation of additional cues.

• Application in foveated video compression and event

recognition in scenes will be investigated


49

ISOGA: Integrated Services Optical Grid ArchitectureInvestigator: Oliver Yu, Department of Electrical and Computer Engineering

Prime Grant Support: DOE, NSF



• Lambda Grid reserves lightpaths or lambdas of light

(10 Gbps transport capacity) among a distributed

collection of data, computing, visualization and

instrumentation resources that are integrated to provide

collaborative capability to end users.

• To support a Multi-domain Lambda Grid with on-

demand lightpath provisioning over multiple optical network domains with heterogeneous control planes.

• To support e a Multi-purpose Lambda Grid for multidisciplinary collaborative applications.

StarLight

All-optical

MAN

All-optical

LAN NetherLightAll-optical

LAN

PIN

ISON

PIN

ISON

On-demand Lightpath (10 Gbps)

UIC University of

Amsterdam

Chicago Amsterdam

Chicago

OMNInet

ClusterCluster

Cluster

PIN

ISON

• Photonic Inter-domain Negotiator (PIN) is developed to

support the Multi-domain Lambda Grid. It provides an

open secure inter-domain control plane to interoperate

multiple optical network domains with non-compatible

signaling and routing functions.

• Integrated Services Optical Network (ISON) is

developed to support the Multi-purpose Lambda Grid. It

provides multiple traffic transport services: Gigabit-rate

stream (single lambda per application); Kilo/Megabit-rate

stream (multiple applications per lambda); Tera/Petabit-

rate stream (multiple lambdas per application); and

variable bit rate bursty traffic.

• Publication

• O. Yu, “Intercarrier Interdomain Control Plane for Global Optical Networks,” in Proc. IEEE ICC, June 2004.

• O. Yu, T. DeFanti, “Collaborative User-centric Lambda-Grid over Wavelength-Routed Network,” in Proc. IEEE/ASM SC 2004, Nov. 2004.

• Three journal papers has been submitted to IEEE/OSA Journal of Lightwave Technology.

• Demonstration

• Through collaboration with University of Amsterdam, on-demand

lightpath provisioning was demonstrated over Lambda Grid betweenChicago & Amsterdam in SC 2003, November 2003.

• Future Goals

• Extend multi-domain and multi-purpose Lambda Grid with photonic multicast capability by splitting incoming light into multiple outputs.

• Demonstrate the new prototype in iGrid 2005 symposium at San Diego.

Preservation and Protection of Online Multimedia Contents Investigators: Ashfaq Khokhar and Rashid Ansari

Multimedia Systems Lab. (http://multimedia.ece.uic.edu)




• Emergence of peer to peer networks and increased interest

in online sharing poses challenges for preserving and

protecting online digital repositories.

• Existing efforts are mostly focused on text data. Research

challenges are amplified when the contents are multimedia –

just re-sampling of voice or image data, which is difficult to

detect, compromises the authentication and validation.

• Developing multimedia asset management tools and

distributed protocols that embed signatures, evaluate

authentication, and help perform recovery using copies at

peer nodes, if contents have been compromised.

• Develop efficient watermarking techniques that can

imperceptibly embed information in the media

• Embedding capacity (#of bits embedded) of the proposed

techniques should be large and embedded information

should withstand different types of adversary attacks

including re-sampling, compression, noise,

desynchronization, etc. – exploit temporal and spatial

correlation in the multimedia data.

• Develop detection algorithms that can detect the

embedded information in the face of modifications and

other adversary attacks.

• Develop distributed protocols based on trust metrics to

recover modified contents

• Developed novel watermarking techniques that embed

information in selective frequency subbands. The

embedded information is 10-15 times more than existing techniques and can withstand adversary attacks.

• Developed an Independent Component Analysis based

detector that can detect embedded information in the

presence of extreme noise (less than 1% error probability

even in the presence of 80% noise).

• Developing a comprehensive digital asset management

system using data hiding for fingerprinting and

authentication.

• Developing a suite of distributed protocols for content

validation and recovery in case of compromised data.


50

Incremental Placement and Routing Algorithms for FPGA and VLSI Circuits

Investigators: Shantanu Dutt, Electrical & Computer Engr.




• Current and future very deep submicron chips are so

complex and minute that they need “corrections” or re-

optimizations in small parts after initial design & simul.

• Need to keep the correct parts of the chip as intact as

possible – good resource usage, time-to-market req.

• Need incremental CAD algorithms that re-do the

“incorrect” parts fast and w/o significant effect on the

correct parts

• This project focuses on such incremental algorithms at

the physical CAD or layout level of chip design –

placement & routing

• Use of a constraint-satisfying depth-first search

(DFS) process that explores the design space for the

incremental changes to:

• Optimize them (e.g., power, critical path, signal

integrity)

• Subject to not deteriorating metrics of the larger

unchanged chip beyond pre-set bounds (e.g., <=

10% increase in wire-length)

• Use of a new network-flow based methodology to

explore the design space in a more continuous manner

(as opposed to discrete in DFS) for faster solutions:

• Some approximations involved for discrete ->

continuous optimization mapping

• Incremental routing for FPGAs:

• optimal DFS algorithm wrt # of tracks– if a solution

exists will find it; 13 times faster than competitor VPR

• Incremental routing for VLSI ASICs:

• 98% success rate in completing routes – up to 9-12 times fewer failures than Std and R&R routers

• Timing-driven incremental routing for VLSI ASICs:

• 94% succ rate; 5 times fewer timing violations

• Incremental placement for VLSI ASICs:

• Prel results: applied to timing closure – 10% improv

• Future Work: (1) Apply to timing, power closure via logic &

circuit re-synthesis at the physical level + re-placement & re-

routing; (2) Integration of incremental routing & placement

Partitioning Floorplanning PlacementRouting

Incr. Place

e.g., for timing

closure

VLSI CAD Flow:

Simul-

ation

Multi-Camera Head Tracking for the Varrier Autostereo Display

Jason Leigh, Luc Renambot, Javier Girado, Andrew Johnson, Dan Sandin, Tom DeFanti,

Electronic Visualization Laboratory, Dept. of Computer Science

Office of Naval Research and National Science Foundation



High resolution stereoscopic computer graphics is

crucial to understanding abstract structures in

geoscience and bioscience. Such displays do not

currently exist on the market. A key factor in enabling

widespread adoption of stereo in the future is to create

stereoscopic displays that can be viewed without

wearing special glasses. The Varrier system prototypes

this capability using arrays of LCD panels mounted with

black line screens. Precise realtime, low-latency, head

tracking is required to ensure perfect stereoscopic effect.

• By placing a black line screen in front of commodity LCD

panels and applying the correct graphical transformations,

one can create stereoscopic computer graphics which can be viewed without wearing specialized glasses.

• A cluster of 35 computers with high-end graphics cards is used to drive the pictured 7x5 panels.

• A high speed neural network-based facial recognition

system is used to track the viewer so that the correct

perspective is drawn relative to the viewer‟s viewpoint. The

facial recognition system also allows the system to lock onto

a single user, even when some one else steps in front of the display.

7x5 LCD panels covered with a black line screen overlay to

achieve an autostereoscopic effect.

• A first prototype of a 7x5 LCD Varrier system exists at UIC

and has been tested with a single camera head tracking

system with good results. A small 2x2 system will be

deployed at the Technology Research Education and

Commercialization Center (TRECC) in DuPage County, Illinois.

• Next generation capability will have increased frame rate, high resolution and lower latency for tracking.

• Next generation system will use an array of cameras to

allow full resolution coverage of a wide viewing area for

supporting a full-sized 7x5 Varrier system. This system will be deployed at the ACCESS center in Washington D.C.

• This will be demonstrated at the iGrid 2005 and SC2005 conferences in the Fall of 2005.


51

TransLight/StarLight International Research Network ConnectionsInvestigators: Tom DeFanti and Maxine Brown, CS Department

Prime Grant Support: National Science Foundation #OCI-0441094


In cooperation with US and European national

research and education networks, UIC‘s

TransLight/StarLight five-year project, which

began in 2005, is implementing a strategy to best

serve established production science networks,

including usage by those scientists, engineers and

educators who have persistent large-flow, real-

time, and/or other advanced application

requirements.

TransLight/StarLight funds two network

connections between the US and Europe for

production science:

• OC-192 routed connection between New York

City and Amsterdam that connects the US

Abilene, National LambdaRail (NLR) and DOE

ESnet networks to the pan-European GÉANT2

network.

• OC-192 switched connection between StarLight

in Chicago and NetherLight in Amsterdam that

is part of the GLIF LambdaGrid fabric


• TransLight/StarLight is the international extension

to the NLR and the TeraGrid

• TransLight is a USA member of GLIF

• Develop a global science engineering and

education marketplace for network diversity

• Lead research to enable laboratories and centers to

procure networking services with equipment and

services budgets, just as they buy computer

clusters and software today

• Help close the Digital Divide separating our

scientists from the rest of the world

GLIF, the Global Lambda Integrated Facility, is an international virtual organization

supporting persistent data-intensive scientific research and middleware development

on ―LambdaGrids‖ – a Grid in which the optical networks themselves are resources

that can be scheduled like any other computing, storage or visualization resource.

The OptIPuter Project

Tom DeFanti, Jason Leigh, Maxine Brown, Tom Moher, Oliver Yu, Bob Grossman, Luc Renambot

Electronic Visualization Laboratory, Department of Computer Science, UIC

Larry Smarr, California Institute of Telecommunications and Information Technology, UCSD

National Science Foundation Award #OCI-0225642


The OptIPuter, so named for its use of optical networking,

Internet Protocol (IP), computer storage, and processing and

visualization technologies, is an infrastructure research effort

that tightly couples computational resources over parallel optical

networks using the IP communication mechanism. It is being

designed as a virtual parallel computer in which the individual

processors are distributed clusters; the memory is large

distributed data repositories; peripherals are very-large scientific

instruments, visualization displays and/or sensor arrays; and the

motherboard uses standard IP delivered over multiple dedicated

lambdas that serve as the system bus or backplane.

Key Achievements and Future Goals—UIC Team

• Deployed tiled displays and SAGE software to partner sites

• Procured a 10Gbps private network from UIC to UCSD

• Connected 1GigE and 10GigE metro, regional, national and

international research networks into the OptIPuter project

• Developing software to interconnect and interoperate

heterogeneous network domains, enabling applications to set

up on-demand private networks

• Developing advanced data transport protocols to move large

data files quickly

• Developing Earthquake and Bioscience instructional programs

for local elementary schools

• Developing high-bandwidth distributed applications in

geoscience, medical imaging and digital cinema

Technical Approach—UIC OptIPuter Team

• Develop ultra-high-resolution displays and collaboration tools

• Transmit ultra-high-resolution images over advanced networks

• Research distributed optical backplane architectures

• Create and deploy lightpath management methods

• Implement novel data transport protocols

• Create outreach mechanisms benefiting scientists and educators

• Assure interoperability of UIC software with OptIPuter

partners. Academic partners: UCSD; UIC; Northwestern U; San

Diego State U; University of Southern California;

UIUC/NCSA; University of California-Irvine; Texas A&M U.

Affiliate partners: NASA; U Michigan; USGS; CANARIE

(Canada); U Amsterdam and SARA (The Netherlands); KISTI

(Korea); AIST (Japan).

UIC‘s 100-Megapixel tiled display is managed by its SAGE software (Scalable

Adaptive Graphics Environment), which organizes the screen‘s ―real estate‖ as if

it were one continuous canvas, enabling researchers to view large-scale images

while conducing high-definition video-teleconferences with remote colleagues.


52

Scalable Adaptive Graphics EnvironmentInvestigators: Jason Leigh, Andrew Johnson, Luc Renambot, Thomas A. DeFanti, Computer Science

Primary Grant Support: National Science Foundation & Office of Naval Research



• A key component missing in today‟s high-definition video

conferencing solutions is the ability to share content at high

resolution and frame rates.

• Ultra-high-resolution display walls are fast becoming

affordable and are already in widespread use in scientific

research and development.

• In the future all the walls of offices, laboratories and meeting

rooms will be covered with digital wallpaper on which

information can be posted.

• Needed is the equivalent of a “Windows” operating system to

enable next-generation applications and user-interfaces to

make use of these display walls.

• The Scalable Adaptive Graphics Environment (SAGE)

is a scalable software system that enables users to

work with scalable display environments as intuitively as

working on their laptop.

• SAGE is designed to operate on tiled displays driven by

a cluster of computers connected by high-speed

networks.

• Content for the displays can be generated from remote

computers and streamed in real-time for display on the walls.

• Users can manipulate the content in real-time using

wireless pointers and keyboards, including the ability to

stream one‟s own laptop to the display wall.

• SAGE is now being used by over a dozen

institutions in the world equipped with tiled high

resolution display walls including Sharp and Nortel

Networks.

• SAGE is now capable of Visualcasting, which

allows high resolution content and High-definition

video to be broadcasted to multiple distributed

sites simultaneously to facilitate distance

collaboration between users on tiled display walls.

• For more information:

http://www.evl.uic.edu/cavern/sage

Distributed Systems and NetworkingInvestigators: Ajay Kshemkalyani, Computer Science

Prime Grant Support: none



• Advance theoretical foundations of

• Distributed computing, and

• Network design

• Understand inherent limitations on

• upper and lower bonds, and solvability

• Subareas: sensor networks, peer-to-peer networks, mobile, ad-hoc, and wireless networks

• Design of distributed algorithms

• Prove upper and lower bounds

• Experimental evaluation, where necessary

• More info: see publications at

http://www.cs.uic.edu/~ajayk/int/dsnl.html

• Design of routing and multicast algorithms

• Advance understanding of:

• Causality and time; Temporal modalities

• Synchronization and monitoring mechanisms

• Predicate detection algorithms for distributed systems

• Web and internet performance


53

Automatic Analysis and Verification of Concurrent

Hardware/Software SystemsInvestigators: A.Prasad Sistla, CS dept.




• The project develops tools for debugging and

verification hardware/software systems.

•Errors in hardware/software analysis occur frequently

• Can have enormous economic and social impact

• Can cause serious security breaches

• such errors need to be detected and corrected

• Model Checking based approach

• Correctness specified in a suitable logical frame work

• Employs State Space Exploration

• Different techniques for containing state space

explosion are used

• Developed SMC ( Symmetry Based Model Checker )

• Employed to find bugs in Fire Wire Protocol

• Also employed in analysis of security protocols

• Need to extend to embedded systems and general

software systems

• Need to combine static analysis methods with model

checking

Counter example

Yes/No

Concurrent System

Spec

Correctness

Spec

Model

Checker

Mathematical foundations of Representing KnowledgeInvestigators: Robert H. Sloan, Computer Science, Gy. Turan, Mathematics

Prime Grant Support: National Science Foundation (grant # CCF-0431059)



• All “intelligent systems” (artificial intelligence–AI) rely

on large quantities of knowledge.

• Knowledge representation is an old area of study in AI

that saw great progress in last dozen years or so

• Similarly (machine) learning is old area of AI that is

absolutely critical for building modern systems, and that

has had great progress in last dozen or so years.

• BUT little study of interaction between them; little

recent study of foundations of knowledge representation

• Precisely determine expressiveness of basic

representation formalisms (e.g., decision trees,

Disjunctive Normal Forms)

• Complexity theory and combinatorics are the key

mathematical tools

• Develop algorithms for learning important

representations that have no learning algorithms, such

as modal logic


• Recent new results on k-Disjunctive Normal Forms

• “3 SAT” sentence solvers have been one of the great

areas of progress recently, but Horn sentences are

widely used in AI applications. Currently working on

detailed analysis of properties of Horn sentence (figue in

opposite corner).

• Also completing study of the revision of Horn

sentences–it‟s easiest to learn when you have a “pretty

good” starting point


54

AIDS: Adaptive Intrusion Detection SystemInvestigators: Jeffrey J.P. Tsai, Department of Computer Science

Prime Grant Support: Motorola



• Computer virus attacks cost global business an

estimated $55 billion in 2003, a sum that is expected

to increase this year. (ZDNet Security News)

• The research goal is to develop an adaptive

intrusion detection system (IDS) to control the

quantity and quality of alarms.

• Use learning algorithm to produce a high

performance detection model.

• Use neural network to improve the decision making

procedure from multiple models.

• Use a new predication algorithm to finely tune the

detection model dynamically.

• An intrusion detection system based on learning

algorithm has been implemented.

• The IDS gets better performance than the winner of

the KDDCUP‘99 contest using the DARPA

database.

• The IDS will be extended to detect the security

problem of wireless sensor network systems.

Data

Model

Class 1

Class n

Model

Fin

al C

lass

Fin

al A

rbite

r

Natural Language Interfaces for Educational Technology Investigators: Barbara Di Eugenio (Computer Science)

Prime Grant Support: ONR, NSF



Study the effectiveness of different paradigms for

Educational Technology (ET): tutoring versus peer

learning. Use ET to support Computer Science

education.

• Can ET be made more effective by providing natural

dialogue between ET systems and students?

• If yes, what features of natural dialogue engender the

most learning?

• Collect natural dialogues between humans (tutor

helping student solve problem, two students solving

problems together)

Domain: introductory Computer Science

• Mine the dialogues for features thought to correlate with

learning, using machine learning techniques

• Build computational models for those features

• Implement models in dialogue interfaces

• Run systematic evaluation with students: compare at

least two versions of ET system, one with full dialogue

model, one without, or with simplified interface


Tutoring paradigm:

a) developed 5 versions of iList, tutoring system

that helps students with linked lists

b) iList1 through 5 evaluated with more than 200 students

c) iList5 is indistinguishable from expert tutor in

learning effects

Peer learning paradigm:

a) Developed KSC-PaL, novel ET system that

behaves like schoolmate (linked list domain)

b) Under evaluation


55

Ubiquitous Computing in the Natural ClassroomInvestigators: Mitchell D. Theys Department of Computer Science;

Kimberley Lawless College of Education

Prime Grant Support: NSF, Dept of Ed., Industry Sponsors (Microsoft, HP)



• Nationwide call for educators to emphasize methods that engage students during class

• Ubiquitous computing is becoming available on campus

• Merge the above and provide a system that

•Exposes students to technology in the classroom

•Improves feedback for both formative and summative assessment

•Allows more collaborative activities

•Enables the creation of a richer set of course archives

• Leverage existing technologies (Wireless networking, Tablet PCs and digital ink, classroom communication systems, and course specific software)

• Create a mobile Tablab system

• Extend the research already performed by utilizing wireless technology and a mobile system to bring the technology to students in large classroom

• Utilize the technology in courses the PIs are already teaching, then encourage more use of the systems

• Completed preliminary results using a single Tablet PC by the instructor

• Completed some experiments with summative assessment using the Tablet PCs and digital ink

• Goal to create several mobile Tablab systems

• Future testing at a 1:1 ratio in larger CS courses

• Future testing in other large lectures (> 60students) to determine whether system scales effectively

Placement-Coupled Logic Replication and ResynthesisInvestigators: John Lillis, Computer Science

Prime Grant Support: NSF, IBM



• Today, circuit performance determined by wiring more

than logic

• Optimizations made by traditional logic synthesis

tools correlate poorly with post-layout performance

• Need for functionality preserving circuit perturbations

at physical level

• Candidate: Logic Replication

• Extract timing-critical sub-circuit

• Induce equivalent logic tree by replication

• Optimally embed tree in context of current placement

by Dynamic Programming

• Embedding objective includes replication cost to

prevent excessive replication

• Mechanism applied iteratively

• Very large reductions in clock period (up to 40%)

observed in FPGA domain with minimal overhead [DAC

2004]

• Adapts easily to graph-based architectures common in

modern FPGAs. Many conventional placers ill-suited to

this environment.

• Generalizations deal with limitations resulting from

reconvergence [IWLS2004]

• Ongoing work includes: application to commercial

FPGAs; simultaneous remapping of logic; study of lower-

bounds on achievable clock period; integrated timing optimization based on Shannon factorization.

C

B

D

A

E

B

D

A

CR

E

C

Inherently non-monotone pathsAll paths near-monotone after

replication


56

Gene Expression Programming for Data Mining and

Knowledge DiscoveryInvestigators: Peter Nelson, CS; Xin Li, CS; Chi Zhou, Motorola Inc.

Prime Grant Support: Physical Realization Research Center of Motorola Labs



• Real world data mining tasks: large data set, high

dimensional feature set, non-linear form of hidden

knowledge; in need of effective algorithms.

• Gene Expression Programming (GEP): a new

evolutionary computation technique for the creation of

computer programs; capable of producing solutions of

any possible form.

• Research goal: applying and enhancing GEP

algorithm to fulfill complex data mining tasks.

• Overview: improving the problem solving ability of the

GEP algorithm by preserving and utilizing the self-

emergence of structures during its evolutionary process

• Constant Creation Methods for GEP: local optimization

of constant coefficients given the evolved solution

structures to speed up the learning process.

• A new hierarchical genotype representation: natural

hierarchy in forming the solution and more protective

genetic operation for functional components

• Dynamic substructure library: defining and reusing self-

emergent substructures in the evolutionary process.

• Have finished the initial implementation of the

proposed approaches.

• Preliminary testing has demonstrated the feasibility and

effectiveness of the implemented methods: constant

creation methods have achieved significant improvement

in the fitness of the best solutions; dynamic substructure

library helps identify meaningful building blocks to

incrementally form the final solution following a faster

fitness convergence curve.

• Future work include investigation for parametric

constants, exploration of higher level emergent

structures, and comprehensive benchmark studies.

dcabca

1)(

Genotype: sqrt.*.+.*.a.*.sqrt.a.b.c./.1.-.c.d

Mathematical form:Phenotype:

Figure 1. Representations of solutions in GEP

Massive Effective Search from the WebInvestigator: Clement Yu, Department of Computer Science

Primary Grant Support: NSF



• Retrieve, on behalf of each user request, the most

accurate and most up-to-date information from the

Web.

• The Web is estimated to contain 500 billion pages.

Google indexed 8 billion pages. A search engine, based

on crawling technology, cannot access the Deep Web

and may not get most up-to-date information.

• A metasearch engine connects to numerous search

engines and can retrieve any information which is retrievable

by any of these search engines.

• On receiving a user request, automatically selects just a

few search engines that are most suitable to answer the

query.

• Connects to search engines automatically and maintains

the connections automatically.

• Extracts results returned from search engines

automatically.

• Merges results from multiple search engines automatically.

• Optimal selection of search engines to answer accurately a

user‟s request.

• Automatic connection to search engines to reduce labor cost.

• Automatic extraction of query results to reduce labor cost.

• Has a prototype to retrieve news from 50 news search engines.

• Has received 2 regular NSF grants and 1 phase 1 NSF SBIR

grant.

• Has just submitted a phase 2 NSF SBIR grant proposal to

connect to at least 10,000 news search engines.

• Plans to extend to do cross language (English-Chinese)

retrieval.

Users

Queries

Metasearch Engine

Search

Engine N

Search

Engine 1………

Queries

Results


57

Embedded PhenomenaInvestigator: Tom Moher, Computer Science




• K-12 learners have insufficient opportunity to engage in

“patient science” involving extended observation,

manipulation of variables, and aggregation of evidence.

• “Ubiquitous computing” often associated with personal

computational devices; embedded phenomena explore

the “other side” of ubiquitous computing: ambient media

embedded in the physical environment.

• Use of conventional classroom computers running

standard browsers creates opportunities for widespread

adoption on installed school technology base.

• Simulated phenomena are “mapped” onto the physical

space of the classroom.

• The state of the simulation is represented through

conventional computers located around the classroom serving as “portals” into that phenomenon.

• Students conduct investigations of the phenomenon by

monitoring and manipulating of the state of the

simulation through those portals.

• The simulations are persistent, running concurrently with

the regular instructional flow for periods of days and

weeks.

• Four applications: RoomQuake (seismology), HelioRoom

(astronomy), RoomBugs and WallCology (population

ecologies).

• “Phenomenon Server” allows teachers to configure and

schedule phenomena for delivery to their classrooms.

• Field trials and investigation of student learning in over

two dozen classrooms.

• Best paper, ACM Conference on Human Factors in

Computing Systems (CHI 2006): “Embedded

Phenomena: Supporting Science Learning with.

Classroom-sized Distributed Simulations.”

MOBI-DIC: MOBIle DIscovery of loCal resourcesInvestigators: Ouri Wolfson and Bo Xu, Computer Science Dept.




• Currently, while on the move, people cannot efficiently

search for local resources, particularly if the resources

have a short life, e.g. an available parking slot, or an

available workstation in a large convention hall.

• Applications in matchmaking and resource discovery

in many domains, including

• social networks

• transportation and emergency response

• mobile electronic commerce.

• Use Database and Publish/Subscribe technology to

specify profiles of interest and resource information

•Peer-to-Peer information exchange among mobile devices

such as cell phones and pda‟s, that form ad hoc network

• Exchange uses short-range, unlicensed wireless

communication spectrum including 802.11 and Bluetooth.

• Exchanged information is prioritized according to a

spatial-temporal relevance function to reduce bandwidth

consumption and cope with unreliable wireless connections.

• Adaptive push/pull of resource information

• Developed and analyzed search algorithms for different

mobility environments and communication technologies.

• Designed a comprehensive simulation system that

enables selection of a search algorithm

• Built a prototype system

• Published 6 papers, received $250k in NSF support,

delivered two keynote addresses on the subject.

• Submitted provisional patent application

• Future goals: design complete local search system,

combine with cellular communication to central server,

test technology in real environment, transfer to industry.

D

AAAACCCC

B

resource-query A

resource 1

resource 2

resource 3resource-query B

resource 4

resource 5

resource-query C

resource 6

resource 7

resource-query D

resource 8


58

Learning from Positive and Unlabeled Examples

Investigator: Bing Liu, Computer Science




• Given a set of positive examples P and a set of unlabeled examples U, we want to build a classifier.

• The key feature of this problem is that we do not have

labeled negative examples. This makes traditional

classification learning algorithms not directly applicable.

•.The main motivation for studying this learning model is to

solve many practical problems where it is needed. Labeling

of negative examples can be very time consuming.

We have proposed three approaches.

• Two-step approach: The first step finds some reliable

negative data from U. The second step uses an iterative

algorithm based on naïve Bayesian classification and support vector machines (SVM) to build the final classifier.

• Biased SVM: This method models the problem with a

biased SVM formulation and solves it directly. A new

evaluation method is also given, which allows us to tune

biased SVM parameters.

• Weighted logistic regression: The problem can be

regarded as an one-side error problem and thus a weighted

logistic regress method is proposed.

• In (Liu et al. ICML-2002), it was shown

theoretically that P and U provide

sufficient information for learning, and

the problem can be posed as a constrained

optimization problem.

• Some of our algorithms are reported in

(Liu et al. ICML-2002; Liu et al. ICDM-

2003; Lee and Liu ICML-2003; Li and Liu

IJCAI-2003).

• Our future work will focus on two aspects:

• Deal with the problem when P is very small

• Apply it to the bio-informatics domain. There are

many problems there requiring this type of learning.

Positive

training

data

Unlabeled

data

Learning

algorithm

Classifier

Automated Decision-Making in Interactive SettingsInvestigators: Piotr Gmytrasiewicz, Department of Computer Science


Problem: Allow artificial agents to make

optimal decisions while interacting with the

world and possibly other agents


• Artificial agents: Robots, softbots, unmanned systems

• Hard-coding control actions is impractical

• Let‟s design agents that can decide what to do

• One approach: Decision theory, not applicable when

other agents are present

• Another approach: Game theory, not applicable when

agent is action alone

• Combine decision-theoretic framework with elements of

game theory

• Use decision-theoretic solution concept

• Agent‟s beliefs encompass other agents present

• Solutions tell the agent what to do, given its beliefs

• Computing solutions is hard (intractable), but

approximate solutions possible

• Solution algorithms are variations of known decision-

theoretic exact and approximate solutions

• Convergence results and other properties are

analogous to decision-theoretic ones

• A single approach to controlling autonomous agents is

applicable in single- and multi-agent

settings

• Unites decision-theoretic control with game theory

• Gives rise to a family of exact and approximate control

algorithms with anytime properties

• Applications: Autonomous control, agents, human-

machine interactions

• Future work: Provide further formal properties; improve

on approximation algorithms; develop a

number of solutions to dynamic interactive

decision-making settings

Beliefsobservation

Agent(s)

State

actions

Environment


59

APPLYING FORMAL MODELING TO UML DIAGRAMSInvestigator: Sol M. Shatz, Department of Computer Science

Prime Grant Support: ARO, NSF



• Complex software systems are difficult to design and

analyze

•Two types of languages for building design models:

Semi-formal languages - such as UML - are easy to use

and understand but do not support formal analysis;

Formal languages - such as Petri nets - support formal

analysis but are more difficult to understand and need expertise to use.

• This project aims to develop techniques to profit from both types of languages.

• Transformation based approach

• Design an algorithmic approach to transform UML

diagrams systematically into a formal notation (colored

Petri nets)

• Formal analysis based on simulation

• Develop various techniques to help users, who are not

familiar with the formal notation, reason about the

behavior of a system design

• Develop techniques for checking qualitative properties

of the system

• Provided a formal semantics to UML statecharts by

transforming UML statecharts into colored Petri nets

• Developed a prototype tool that transforms UML

statecharts into colored Petri nets automatically

• Developed a prototype tool that allows users to input

and check queries about the properties of the system

• Future plans: include other types of UML diagrams;

experimental evaluation; add time into the model so that

quantitative properties can be checked

MSC

Simulation Trace

UML-CPN

Conversion

Simulation

(XMI)

Query Tool

CPNModel(XML)

UML model

RoseRational

Design/CPN

Performance Modeling and Analysis of Distributed Systems

Using Petri Nets and Fuzzy LogicInvestigator: Tadao Murata, Department of Computer Science




• The size and complexity of real-time distributed

systems makes it extremely difficult to predict the

performance of these applications and their underlying

networks

• Fuzzy-timing models associate possibility distributions

of delays with events taking place in the system being

modeled, well mimicking complex behaviors of the

system, making the formal model very beneficial in

performance modeling and analysis of complicated

distributed systems

• Monitor the system to obtain parameters such as

bandwidth and latency to characterize the possibility

distributions of the Fuzzy-Timing Petri Net (FTHN) model

• Build the FTHN model of the architecture to be

analyzed based on the collected data

• Use fuzzy logic and simulation to analyze and verify the

modeled system. Network features that are needed in

order to implement currently unattainable interactions

can be obtained

• Applied FTHN model to assist us in the design of a

high-speed transport protocol for Long Fat Networks.

• Developed techniques and tools for performance

analysis of network protocols and QoS requirement

analysis of the networks: Proposed a topology-

approximation to enable the formal model to have

capability in modeling unpredictable dynamic topology,

thus enlarging its application domains

• Future work includes: apply FTHN model in other areas

such as developing the intelligent optimization of

concerted heterogeneous data transmissions in distributed wide-area cluster computing environments

t1a

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Pfree

P1a

P1b

d2a(

d2a(

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60

SIMULATION OF MULTIBODY RAILROAD VEHICLE/TRACK

DYNAMICSInvestigator: Ahmed A. Shabana, Department of Mechanical Engineering, College of Engineering

Prime Grant Support: Federal Railroad Administration (USA)



• Develop new methodologies and computer algorithms

for the nonlinear dynamic analysis of detailed multi-

body railroad vehicle models.

• The computer algorithms developed can be used to

accurately predict the wheel/rail interaction, derailment,

stability and dynamic and vibration characteristics of

high speed railroad vehicle models.

•Develop accurate small and large deformation

capabilities in order to be able to study car body flexibility and pantograph/ catenary systems.

• Methods of nonlinear mechanics are used to

formulate the equations of motion of general multi-

body systems; examples of which are complex

railroad vehicles.

• Small and large deformation finite element

formulations are used to develop the equations of

motion of the flexible bodies.

• Numerical methods are used to solve the resulting

system of differential and algebraic equations.

• Computer graphics and animation are used for the

visualization purpose.

• Fully nonlinear computational algorithms were

developed and their use in the analysis of complex

railroad vehicle systems was demonstrated.

• The results obtained using the new nonlinear

algorithms were validated by comparison with measured

data as well as the results obtained using other codes.

• Advanced large deformation problems such as

pantograph/catenary systems have been successfully

and accurately solved for the first time.

• The tools developed at UIC are currently being used by

federal laboratories and railroad industry.



• The world needs more, affordable, reliable, energy

efficient, environmentally friendly construction and

agricultural equipment Energy efficiency improvements

to beat poverty in developing world

• Embedded computer control and information

technology applications in construction and agricultural

equipment: closed loop controls, GPS, autonomous vehicles.

• Developed a new steer-by-wire EH system (for wheel

loaders)

• Developed a new closed center EH hydraulic implement

control system

• Developed semi-active joystick controls

• Developed payload monitoring systems

• Closed loop control for graders, site planning with GPS

• Three US patents awarded (forth filed) .

• 12+ former graduate students employed by CAT

UIC-Mechatronics Lab by Professor S. CetinkuntPrime sponsors: Caterpillar, NSF, Motorola


61

Control Reconfiguration of Complex Discrete Event Dynamic SystemsInvestigators: Houshang Darabi, Mechanical and Industrial Engineering;

Prime Grant Support: NIST, Motorola, IVRI



• Today‟s manufacturing and service information systems

(IS) contain complex decision making processes.

• These processes can be modeled as supervisory

control problems with dynamic control specifications.

• Many theoretical results and software tools are already

available to analyze supervisory control problems.

• Discrete manufacturing IS, hospital IS and supply chain

IS are governed by the same control principals.

• Control specifications of these system change over

time and require reconfiguration of their control rules.

• Modeling of systems by Petri Nets and Finite Automata

• Modular and hierarchical decomposition of control

• Formal verification and validation of system properties

• Classification of reconfiguration needs and triggers

• Cost/benefit modeling of reconfiguration response

• Simulation modeling and analysis of systems based regular events and reconfiguration events

• Supervisory control of discrete event systems

• Systematic methods for modeling of manufacturing IS

• Automatic procedures to reconfigure PLC programs

subject to sensor failures

• Systematic procedures for modeling hospital IS

• Modeling and analysis tools assisting medical service

control systems during mass casualty situations

•Simulation models for hospital resource assignment

• Adaptive mixed integer programming models for

reconfiguring supply chain controllers

• Standard supply chain agent models for distributed

decision making and peer to peer communication

Product Platform DesignInvestigators: Michael J. Scott, Mechanical & Industrial Engineering

Prime Grant Support: National Science Foundation, (General Motors)



• Product platforms are used to achieve variety at low

cost in product design; families of products share

common characteristics. E.g.: single-use cameras,

passenger aircraft, Sony Walkman‟s, electric motors.

• Need rigorous methods to determine 1) which product

variants should share variable values, and 2) what the

values should be (state-of-the-art only addresses #2)

• NSF-funded research: development of a repository of

example/test problems for the research community.

• Use cluster analysis and sensitivity analysis to group

variables.

• Use preference aggregation to treat multi-objective

optimization/decision problem. Multiple objectives arise

from the individual product design, from the need for

robust solutions, and from the trade-off between

commonality (to save cost) and performance (of individual products).

• Model uncertainties, both stochastic (irreducible

random variations) and epistemic (incomplete

information in preliminary design)

• New commonality indices

• Three journal, four conference papers in last two years.

• Done: New methods for individual product optimization

demonstrating results superior to those available in the

literature.

• Done: More comprehensive formulation of problem than

given in the literature allows for each variable to be

shared by any subset of member products (as opposed

to either all or none).

• Ongoing: web-based repository of problems in this

nascent area for use by the general research community.

• Future: Some steps are still ad hoc; more formalization;

also more explicit methods for cost analysis.


62

Computational Intelligence for Diagnostics and Prognostics

Diagnostic +

Prognostic Models

Optimal

Data

Extraction

*Time domain

*Frequency domain

* Flight profiles

Sensor

Signals

IntegratedComputational

Intelligence

Investigators: David He and Pat Banerjee, MIE DepartmentPrime Grant Support: BF Goodrich (USA) Problem Statement and Motivation

•Develop innovative computational intelligence for diagnostic and prognostic applications of complex systems such as helicopters.

•The computational intelligencedeveloped can be used to accuratelydiagnose the failure conditions ofthe complex systems and predictthe remaining useful life or operationof the systems.

•The developed diagnostic and prognostic computational intelligencewill be tested and validated with the data collected by Goodrich’s IMD-HUMS units that are currently used inUS Army’s helicopters.

Technical Approach

•Innovative probabilistic approaches will be integrated with wavelet analysis to develop integrated diagnostic and prognostic computational intelligence.•Different failure modes of left generator shafts in UH-60 will beidentified and failure conditions will be used to predict the remaining useful life of the system.


•Diagnostic and prognostic algorithms are currentlybeing developed and tested for different helicopters.

• The developed algorithms will be eventuallyintegrated into the Goodrich’s IMD-HUMs fordifferent military and commercial applications.

Invention and Applications of ImmersiveTouch™, a High-Performance

Haptic Augmented Virtual Reality SystemInvestigator: Pat Banerjee, MIE, CS and BioE Departments

Prime Grant Support: NIST-ATPProblem Statement and Motivation

Technical Approach


High-performance interface

enables development of

medical, engineering or

scientific virtual reality

simulation and training

applications that appeal to many

stimuli: audio, visual, tactile and

kinesthetic.

•First system that integrates a

haptic device, a head and hand

tracking system, a cost-effective

high-resolution and high-pixel-

density stereoscopic display

•Patent application by University

of Illinois

• Depending upon future

popularity, the invention can be as

fundamental as a microscope

•Continue adding technical

capabilities to enhance the

usefulness of the device


63

Computational Protein Topographics for Health Improvement Jie Liang, Ph.D. Bioengineering

Prime Grant Support: National Science Foundation Career Award, National Institutes of Health R01,

Office of Naval Research, and the Whitaker Foundation.Problem Statement and Motivation


• The structure of proteins provide rich information about

how cells work. With the success of structural genomics,

soon we will have all human proteins mapped to

structures.

• However, we need to develop computational tools to

extract information from these structures to understand

how cell works and how new diseases can be treated.

•Therefore, the development of computational tools for

surface matching and for function prediction will open the door for many new development for health improvement.

• We have developed a web server CASTP (cast.engr.

uic.edu) that identify and measures protein surfaces. It

has been used by thousands of scientists world wide.

• We have built a protein surface library for >10,000

proteins, and have developed models to characterize

cross reactivities of enzymes.

• We also developed methods for designing phage library

for discovery of peptide drugs.

• We have developed methods for predicting structures

of beta-barrel membrane proteins.

• Future: Understand how protein fold and assemble, and

designing method for engineering better proteins and

drugs.

Technical Approach

• We use geometric models and fast algorithm to

characterize surface properties of over thirty protein

structures.

• We develop evolutionary models to understand how

proteins overall evolve to acquire different functions

using different combination of surface textures.

• Efficient search methods and statistical models allow us

to identify very similar surfaces on totally different

proteins

• Probablistc models and sampling techniques help us to

understand how protein works to perform their functions.

Evolution of

function

Protein surface matching

Structural Bioinformatics Study of Protein Interaction NetworkInvestigators: Hui Lu, Bioengineering

Prime Grant Support: NIH, DOL



• Protein interacts with other biomolecules to perform a

function: DNA/RNA, ligands, drugs, membranes, and other

proteins.

• A high accuracy prediction of the protein interaction

network will provide a global understanding of gene

regulation, protein function annotation, and the signaling

process.

• The understanding and computation of protein-ligand

binding have direct impact on drug design.

• Data mining protein structures

• Molecular Dynamics and Monte Carlo simulations

• Machine learning

• Phylogenetic analysis of interaction networks

• Gene expression data analysis using clustering

• Binding affinity calculation using statistical physics

• Developed the DNA binding protein and binding site

prediction protocols that have the best accuracy

available.

• Developed transcription factor binding site prediction.

• Developed the only protocol that predicts the protein

membrane binding behavior.

• Will work on drug design based on structural binding.

• Will work on the signaling protein binding mechanism.

• Will build complete protein-DNA interaction prediction

package and a Web server.

Protein-DNA complex:

gene regulation

DNA repair

cancer treatment

drug design

gene therapy


64

Uncovering the mechanism of reversible membrane bindingInvestigators: Hui Lu, Ph.D., Bioengineering

Primary Grant Support: Chicago Biomedical Consortium, NIH


Technical Approach


• To efficiently function, cells need to respond properly to external physical and physical and chemical signals in their environment.

• Identifying disease states and designing drugs require a detailed understanding of the internal signaling networks that are activated in responses to external stimuli.

• In the center of these process is a particular group of protein that translocate to the cell membrane upon external activation.

• Combine machine learning techniques with characterization of the protein surface to identify unknown membrane binding proteins.

• Atomic scale molecular dynamics simulation of the interactions between proteins and membranes

• Mathematical modeling is used for studying the spatial and dynamic evolution of the signal transduction networks within the cell when changes in the external environment occurs.

• Developed highly accurate prediction protocols for identifying novel cases of membrane binding proteins, based on properties calculated from molecular surface of the protein structure.

• Determining membrane binding of properties of C2 domains in response to changes in ion placements and membrane lipid composition.

• Goal: To model the network dynamics to understand how changes in membrane binding properties of certain domains changes the efficiency of signal transduction in the cell.

Machine learning and Datamining in Biomedical InformaticsInvestigators: Hui Lu, Ph.D., Robert Ezra Langlois, Ph.D.,Bioengineering;

Grant Support: NIH, Bioinformatics online



• Massive amount of biomedical data are available

from high-throughput measurement, such as

genome sequence, proteomics, biological pathway,

networks, and disease data.

• Data processing become the bottleneck of

biological discovery and medical analysis

• Problem: Protein function prediction, protein

functional sites prediction, protein interaction

prediction, disease network prediction, biomarker discovery.

• Formulate the problem in classification problem

• Derive features to represent biological objects

• Develop various classification algorithms

• Develop multiple-instance boosting algorithms

• Developed machine learning algorithms for

protein-DNA, protein-membrane, protein

structure prediction, disease causing SNP

prediction, mass-spec data processing, DNA

methylation prediction.

• Developed an open-source machine learning

software MALIBU

• Goal: Biological network analysis and

prediction.


65


















molecules







• Calculated how different solvent affect protein’s




materials

Biological Signal Detection for Protein Function PredictionInvestigators: Yang Dai




• High-throughput experiments generate new protein

sequences with unknown function prediction

•In silico protein function prediction is in need

•Protein subcellular localization is a key element in

understanding function

•Such a prediction can be made based on protein

sequences with machine learners

•Feature extraction and scalability of learner are keys.

• Use Fast Fourier Transform to capture long range

correlation in protein sequence

• Design a class of new kernels to capture subtle

similarity between sequences

•Use domains and motifs of proteins as coding vectors

•Use multi-classification system based on deterministic

machine learning approach, such as support vector

machine

• Use Bayesian probabilistic model

•Developed highly sophisticated sequence coding

methods

•Developed an integrated multi-classification system for

protein subcellular localization

•Developed a preliminary multi-classification system for

subnuclear localization

• Will incorporate various knowledge from other

databases into the current framework

• Will design an integrative system for protein function

prediction based on information of protein localizations,

gene expression, and protein-protein interactions

Sequences

specific subcellular

and subnuclear localization

MASVQLY ... …HKEPGV

Machine Learner

Text File of

Protein

descriptionCoding

Vectors

Coding

Vectors


66

Control software for manufacturing plantsPrincipal Investigator: Ugo Buy---Support: NIST



• Control programs are hard to write and

maintain

• Flexible manufacturing demands rapid

reconfiguration

• Possibility of deadlock, mutex violations,

deadline violations

• Avoid verification complexity with supervisory

control

• Petri nets vs. finite state automata

• Synthesis of deadline-enforcing supervisors

using net unfolding

• Compositional methods (e.g., hierarchical

control)

GUI

Translator

Supervisor

generator

SFCsPlant

specConstraints

TPNs

Refined

TPNs

Code

generatorControl code

• System for enforcing deadlines on transition

firing in time Petri nets

• Framework for compositional control

• Integration of methods for enforcing mutual

exclusion and freedom from deadlock

• Generation of target code

NSF ITR Collaborative Research: Context Aware Computing with

Applications to Public Health ManagementIsabel F. Cruz, Ouri Wolfson (Computer Science) and Aris Ouksel (Information and Decision Sciences).

In collaboration with Roberto Tamassia (Brown U.) and Peter Scheuermann (Northwestern U.)


Technical Approach Key Achievements

• Architecture of a new system, CASSIS, to provide

comprehensive support for context-aware applications in the

Health Domain as provided by the Alliance of Chicago

• Testing on operational scenarios of public health

management applications:

• Daily operations of health care providers

• Epidemic occurrences (e.g., meningitis)

• Crisis situations (e.g., terrorist attacks, natural

disasters)

• Peer-to-peer and mediated semantic data integration

• Dynamic data as collected by sensor networks

• Matching of user profiles to services

• Competitive environment management

• Security and privacy

• Performance and scalability (e.g., caching and data aggregation)

• Peer to Peer Semantic Integration of XML and RDF Data

Sources [Cruz, Xiao, Hsu, AP2PC 2004]

• Opportunistic Resource Exchange in Inter-Vehicle Ad-Hoc

Networks (Best paper award) [Xu, Ouksel, Wolfson, MDM 2004,

Best Paper Award]

• An Economic Model for Resource Exchange in Mobile Peer-to-

Peer Networks [Wolfson, Xu, Sistla, SSDBM, 2004].

• Multicast Authentication in Fully Adversarial Networks

[Lysyanskaya, Tamassia, Triandopoulos, IEEE Security and

Privacy, 2004]

• Personal Service Areas for Location-Based Wireless Web

Applications [Pashtan, Heusser, Scheuermann, IEEE Internet

Computing, 2004]

biological and

chemical sensors

web services, on-line

libraries, emergency info

on-line cameras with

recording device

Context and

Profile

Manager

Application

Server

environmental db

(hospital states,

sensor states, etc.)

city maps, floor

plans of buildings

aggregated

user profiles

hospital,

clinic

police

station

fire

housesubway

control

center

police

officerfireman doctor

travelling

business-

man

service

layer

application

layer

database

layer

user

layer

GIS data

police

profile

dbfiremen

profile

db

health-

care

profile

db

FBI

profile

db

dynamic info

e.g. GPS

dynam

ic info

e.g

.

opera

ting a

t fu

ll capacity

1

2

3

4

5

6

7 7

8 8

CASSIS


67

Collaborative Research: Information Integration for Locating and

Querying Geospatial DataLead PI: Isabel F. Cruz (Computer Science). In collaboration with Nancy Wiegand (U. Wisconsin-Madison)


Technical Approach

• Geospatial data are complex and highly

heterogeneous, having been developed independently

by various levels of government and the private sector

• Portals created by the geospatial community

disseminate data but lack the capability to support

complex queries on heterogeneous data

• Complex queries on heterogeneous data will support

information discovery, decision, or emergency response

• Data integration using ontologies

• Ontology representation

• Algorithms for the alignment and merging of ontologies

• Semantic operators and indexing for geospatial queries

• User interfaces for

• Ontology alignment

• Display of geospatial data

• Create a geospatial cyberinfrastructure for the web to

• Automatically locate data

• Match data semantically to other relevant data

sources using automatic methods

• Provide an environment for exploring, and querying

heterogeneous data for emergency managers and

government officials

• Develop a robust and scalable framework that

encompasses techniques and algorithms for integrating

heterogeneous data sources using an ontology-based

approach



Metasearch Engines for e-commerceClement Yu, Department of Computer Science

National Science Foundation


Many companies sell the same type of products ( eg

computers) or services ( eg. life insurance) via the Web.

Looking for the best product or service (eg lowest

price and meeting specifications) requires excessive

checking of many Web search engines.

This imposes too much burden on a user.

The aim is to allow a user seeking a product or a

service to submit a single query and to receive the

results ranked in descending order of desirability.

Technical Approach

Companies selling products or services via the Web

have different user interfaces.

Create an user interface that integrates the features of

each individual user interface and organize them such

that the integrated interface is easily understood.

A user query submitted against the integrated

interface is translated into subqueries against individual

interfaces.

It is possible to determine for each user query, which

search engines should be invoked:

based on the previously processed queries


Most steps in the construction of the integrated user

interface have been automated.

The same technique can be applied in other areas

(e.g. construct generalized forms):

For selling a car online multiple forms need to be filled in

Create a generalized form applicable to multiple sellers.

Preliminary results have also been obtained to

determine the proper search engines to invoke for each

given user query.

Will produce metasearch engines for various

products and services.

subquery 1 subquery n

Return

Query Interface

Query appropriatequery interface

Formulate Query

Merge Results

Final Ranked

Results

METASEARCH ENGINE

Query

Search

Engine 1

Search

Engine 2

Search

Engine n

Repository

Query Interfaces

Airline Reservation

Rent a Car

Real Estate

Web Database


68

Applications of Formal Methods

Lenore Zuck, CS

Support from NSF, ONR, and SRC



•Translation Validation

•Backward Compatibility of successive

generations of software

•Formal proofs that optimizing compilers

maintain semantics of programs

•Termination proofs of Pointer programs

•Property Verification of parameterized systems (bus

protocols, cache coherence, &c)

• Translation validation verifies each go of the system.

Verification conditions that are automatically created are

send to theorem provers

• Combination of model checking and deductive methods

allows to push the envelope of automatic verification of

infinite-state systems (for both pointer programs and

protocols)

• Based on methodology developed, Intel is using

MicroFomal to verify backward compatibility of

micropgrams (between RISC & CISC)

•(Need to develop better methodologies to prove

theories that have bit vectors)

• IIV is a new tool that allows automatic verification of

safety properties of parameterized systems (nothing bad

will ever happen)

• Researchers at MSR have expressed interest to

integrate pointer analysis in their verification tool

Teaching Sensorimotor Skills with HapticsInvestigators: Miloš Žefran, ECE; Matteo Corno, ECE; Maxim Kolesnikov, ECE

Prime Grant Support: NSF; UIC College of Dentistry



• New surgical procedures are introduced at a high rate.

Each requires costly training.

• Haptic simulators provide a cost-effective alternative

to traditional training: no need to travel, 24/7 availability,

easy to create additional units as needed.

• Existing paradigm for haptics is not suitable for

teaching sensorimotor skills. Lack of good models and

of realistic haptic rendering are main obstacles to

creating useful simulators.

• Position and force information are simultaneously

displayed to facilitate motor skill acquisition. The user is

modeled as a three-input, single-output system.

• The model of the human enables stability analysis

through the Lyapunov second method; traditional

passivity techniques can not be used. Time delays are

critical for stability and are explicitly modeled.

• The Euclidean group SE(3) used to develop haptic

rendering algorithms that properly account for

translations and rotations. Kinetic energy provides an

intrinsic way to define the penetration which is in turn

used to compute the reaction force.

• Developed a new paradigm for teaching of

sensorimotor skills with haptics.

• Proposed a new model for a user responding to haptic

and visual stimuli. The model experimentally verified.

• Stability analysis of the system performed. Stability

boundaries explicitly identified.

• Implemented a new method for haptic rendering.

• Future work: applications in medical training, rehabili-

tation; faster implementation of the haptic rendering;

implementation on cheap haptic displays; extensions of

the new paradigm for collaborative haptics.


69

Multi-Scale Simulations of Flames and Multiphase FlowSuresh K. Aggarwal, Mechanical and Industrial Engineering

Sponsors: NASA, NSF, Argonne National Laboratory

1) ―A Numerical Investigation of Particle Deposition

on a Square Cylinder Placed in a Channel Flow,"

Aerosol Sci. Technol. 34: 340, 2001.

2) ―On Extension of Heat Line and Mass Line

Concepts to Reacting Flows Through Use of

Conserved Scalars," J. Heat Transfer 124: 791, 2002.

3) ―A Molecular Dynamics Simulation of Droplet

Evaporation," Int. J. Heat Mass Transfer 46: 3179,

2003.

4) ―Gravity, Radiation and Coflow Effects on Partially

Premixed Flames,‖ Physics of Fluids 16: 2963, 2004.

• Application of the advanced computational

fluid dynamics (CFD) methods using detailed

chemistry and transport models

• Simulation of flame structure, extinction and

fire suppression

• Multi-scale modeling of combustion and two-

phase phenomena

• Extensive use of computer graphics and

animation

The image on the left shows a

comparison of simulated and measured

triple flames that are important in

practical combustion systems, while the

five images on the right depict a

simulated flame propagating downward

in a combustible mixture.

(b)-10 -5 0 5 10

X, mm

0

10

20

30

40

Y,m

m

1 5 10 15 20 50 75

Heat-release, kJm-3s-1*10-3

Computational Tools for Population BiologyComputational Tools for Population BiologyTanya Berger-Wolf, Computer Science, UIC; Daniel Rubenstein, Ecology and

Evolutionary Biology, Princeton; Jared Saia, Computer Science, U New Mexico

TechnicalTechnical ApproachApproach

• Collect explicitly dynamic social data: sensor collars on animals,

synthetic population simulations, cellphone and email communications, …

• Represent a time series of observation snapshots as a series of

networks. Use machine learning, data mining, and algorithm

design techniques to identify critical individuals, communities, and patterns in dynamic networks.

• Validate theoretical predictions derived from the abstract graph

representation by simulations on collected data and controlled and quazi-experiments on real populations

Key Achievements and Future GoalsKey Achievements and Future GoalsDone:Done:

• Formal computational framework for analysis of dynamic social networks

• Scalable methods for

• identifying dynamic communities

• identifying periodic patterns

• predicting part of network structure

• identifying individuals critical for initiating and blocking spreading processes

Future:Future:

• Validate methods on biological data

• Extend methods from networks of unique individuals to classes of individuals


Recent breakthroughs in data collection technology, such as

GPS and other mobile sensors, are giving biologists access to

data about social interactions of wild populations on a scale

never seen before. Such data offer the promise of answering some of the big questions in population biology.

Unfortunately, in this domain, our ability to analyze data lags

substantially behind our ability to collect it. Particularly, current methods for analysis of social interactions are mostly static.

Our goal is to design a computational framework for analysis of

dynamic social networks and validate it by applying to equidpopulations (zebras, horses, onagers).


70

Performance Optimization, Power Reduction and Thermal

Management of Memory SystemsInvestigators: Zhichun Zhu, ECE




• Multi-core processors have become mainstream

• Memory systems must be able to handle so many

threads simultaneously

• Memory access scheduling will play a critical role in

overall performance

• With increasing memory traffic, memory power

consumption and thermal emergency become important

issues

• Processor-memory cooperation to maximize memory

bandwidth efficiency

• Thread co-scheduling to smooth out memory access

phases

• Adaptive core gating and coordinated dynamic voltage/

frequency scaling to meet memory thermal limits

•Mini-rank to reduce memory power consumption

•Decoupled-DIMM to increase memory bandwidth

• Thread-aware memory scheduling for SMT processors

• New approaches to optimize multi-core processor

performance

• New memory thermal management schemes

•New memory organizations for better performance and

energy-efficiency

•Memory thermal models and simulators

Time

Tshutdown

Memory

Temperature

Tcritical

Ttm

Thermal Zone 1

Thermal Zone 2

Thermal Zone 3

Intelligent Traveler Assistant (ITA)Investigators: John Dillenburg, Pete Nelson, Ouri Wolfson, CS Department

Prime Grant Support: NSF, Chicago Area Transportation Study, Illinois Department of Transportation


Key Achievements and Future GoalsTechnical Approach

100

110

120

130

140

150

160

170

180

1980 1985 1990 1997

Year

Ind

ex 1

980 =

100

US Highw ay Miles VMT (1980=100)

•• Vehicles increase, Vehicles increase,

roads do notroads do not

•• Congestion costs Congestion costs

U.S. economy over U.S. economy over

$100 billion/year$100 billion/year

•• Vehicle occupancy Vehicle occupancy

has dropped 7% in has dropped 7% in

last two decadeslast two decades

Ride Share Partners

Transit

Global Positioning System

Travel Assitant

Central Travel Information Computer Travelers

Internet

Travel Assitant

Travel Assitant

•• We envision a convenient mobile device capable of We envision a convenient mobile device capable of

planning multiplanning multi--modal (car, bus, train, ferry, taxi, etc.) travel modal (car, bus, train, ferry, taxi, etc.) travel

itineraries for its useritineraries for its user

•• The devices communicate with each other and with a The devices communicate with each other and with a

central database of travel information via a peercentral database of travel information via a peer--toto--peer adpeer ad--

hoc network hoc network

•• Trips with other users could be shared via dynamic ride Trips with other users could be shared via dynamic ride

sharingsharing

•• Fares and payment are negotiated electronicallyFares and payment are negotiated electronically

•• Traffic prediction is used to determine the best routeTraffic prediction is used to determine the best route

•• Persistent location management is used to track device Persistent location management is used to track device

locationslocations

•• Trajectory management is used to predict the future Trajectory management is used to predict the future

location of a device for planning purposeslocation of a device for planning purposes

•• Partnered with Regional Transportation Authority on multiPartnered with Regional Transportation Authority on multi--

modal trip planner system project sponsored by FTAmodal trip planner system project sponsored by FTA

•• Prime developer of Gateway traveler information system Prime developer of Gateway traveler information system

sponsored by IDOTsponsored by IDOT

•• Prime developer of Ride Match System 21 car and van Prime developer of Ride Match System 21 car and van

pooling system sponsored by CATSpooling system sponsored by CATS

•• Realistic, full scale micro simulation of ITA systemRealistic, full scale micro simulation of ITA system

•• Test bed deployment for Chicago metro areaTest bed deployment for Chicago metro area


71

Location-Specific Query Processing in Two-Layer Networks

Composed of Mobile Objects and Sensor NodesInvestigators: Sol Shatz, Computer Science Department



• There is a lack of research on the problem of query

processing for mobile base stations operating in the

context of sensor networks, especially for sensors that

are accepted to be “location-ignorant.” .

• Therefore, we propose a query processing approach

that is based on the “Pull” query model and designed for

such two-layer networks, including the mobile-object network layer and the sensor network layer

• Design an “end-to-end” approach, covering the key

phases of query processing: Query Generation, Query

Distribution, Query Analysis, Query Injection, and Query-

Result Routing

• Emphasize cooperation among mobile base stations,

which are connected with peer-to-peer network

• Adopt Query-triggered wake-up scheme

• Based on “Pull” query model

• Develop an effective method to estimate the accuracy

of query results

• Achieve an efficient balance between mobile-object

routing and sensor routing

• Location-awareness of mobile objects are used to

effectively offset the constraints associated with sensor

nodes.

• Future research will focus on simulation analysis of the

basic approach and extension of the approach to

efficiently manage multiple query results that arise due to

multiple objects injecting a common query

MURI: Adaptive waveform design for full spectral dominance Investigators: Arye Nehorai (P.I.) and Danilo Erricolo, ECE

Co-P.I.‘s with Arizona State University, Harvard University, Princeton University,

Purdue University, University of Maryland, University of Melbourne, and Raytheon

Prime Grant Support: AFOSR


Technical Approach Future Goals

• The current state of the channel spectral occupancy can

have a profound effect on the choice of waveform to

achieve optimal communication and sensing performance.

• Transmitted waveforms not optimally matched to the

operational scenario, may severely limit the performance.

• Recent advances in information processing and related

hardware have opened the way to exploit characteristics of

the transmitted waveforms that will have tremendous

impact on the performance of communication and sensing

systems.

• Developing waveform design methods that

exploit both existing and new forms of diversities.

• Modeling the environment and channel to extract

the attributes needed to adaptively choose the

optimal waveforms.

• Optimizing the choice of the waveform by

introducing cost functions adapted to the channel

and/or environment.

• Verifying the applicability of our results by testing

and implementing the new waveform designs in

complex realistic environments using an anechoic

chamber and radar tower test-bed facilities.

• Develop unifying perspectives on waveform

design and diversity that cross-cut both sensing and

communication applications.

• Ensure the best ideas for waveform design in

communications are appropriately manifested in

sensing and vice versa.

• Demonstrate the potential of waveform scheduling

and diversity enabled by recent technological

advances, such as agile software-driven digital

modulators, through experiments with real data.

Block diagram of adaptive waveform design.


72

Activity-Based Microsimulation Model of Travel DemandKouros Mohammadian, PhD, S. Yagi, J. Auld, and T.H. Rashidi (PhD Candidates), CME, UIC

Source of Funding: NIPC/CMAP, FACID, and IGERT (NSF)



•Traditional four step travel demand models are widely

criticized for their limitations and theoretical deficiencies

•These problems lead the model to be less policy

sensitive than desired

•Travel is derived from participation in activities. This fact

is not accounted for in 4-step models. Therefore, there is

a need for a better modeling approach

•An activity-based microsimulation travel demand model is

considered that simulates activity schedules for all

individuals

•The modeling framework utilizes both econometric and

heuristic (rule-based) approaches

•All human activities are related to broad project categories

which have a common goal (e.g., Work, School,

Entertainment, etc.) and tasks and activity episodes that are

required to reach that goal are modeled

•Activity participation is modeled at household/individual level

(microsimulation)

•Explicit representation of time/space of occurrence for all

travel episodes, linked to associated activities

•Activity scheduling model is linked to a population

synthesizer, rescheduling and resource allocation models, and

a regional network microsimulation and emission models

•A comprehensive multi-tier activity-based

microsimulation modeling system is developed.

•A new population synthesizer is developed.

•Activity scheduling/rescheduling decision rules are

developed and applied to adjust the simulated daily activity patterns.

•Intra-household interaction rules are developed and

applied to account for joint activity generation and

household maintenance activity allocation problems.

•Transferability of activity scheduling/rescheduling

decision rules across different spatial and temporal

contexts are evaluated.

•The microsimulation model is applied to evaluate future

transportation policy scenarios.

Synthetic Population

Synthetic City Activity Generation Model

Activity Scheduling Model

Executed Schedules

Travel Demand

Activity-Based Modeling

Emission Model

Highway/TransitNetwork Assignment

Activity/TravelMicrosimulation

ADS/HTSSurveys

Policyscenarios

PolicyAnalysis

SynthesizedPopulation Activities/

Tours/Trips

Vehicle/FuelCondition

LambdaTableInvestigators: Jason Leigh, Andrew Johnson, Luc Renambot, Thomas A. DeFanti, Computer Science




• Table-oriented displays provide an intuitive way for users to

examine and manipulate complex information.

• Current commercially available systems have at most high-

definition resolution (1920x1080) and therefore are not

suitable for many real-world applications such as viewing of

high resolution maps, satellite and aerial photos, and

microscopy images. Also these systems use projectors

which require the room lights to be dimmed to be able to see

the visuals.

• The LambdaTable is a 24-Megapixel table-oriented

LCD display (12x high-definition video resolution) built

from a tiling of 4 Megapixel LCD panels and a cluster of

PCs interconnected by a high speed network switch.

• An array of infra-red cameras mounted above the

display tracks passive “pucks” that are used to interact

with the computer graphics displayed on the table.

• The middleware is scalable to enable tables of any

dimension and configuration to be constructed.

• Software has been developed to enable a broad range

of applications to be developed for the table.

• LambdaTable has been successfully demonstrated at the

Supercomputing and Communication conference in 2007.

• Applications in bioscience and geoscience have been

developed to demonstrate the inherent benefits of working

on an ultra-high-resolution table. NSF Program Manager

Tom Wagner called the LambdaTable the most innovative

use of IT for visualizing geoscience data he has ever

seen.

• The Science Museum of Minnesota and Adler Planetarium

are working with with us to build their own tables.

• For more information:

http://www.evl.uic.edu/core.php?mod=4&type=3&indi=331


73

Optimization Models for Dynamic Pricing and Inventory

Control under Uncertainty and CompetitionInvestigator: Elodie Adida, Mechanical and Industrial Engineering



• A small improvement in pricing and revenue management

strategy may yield significant profits.

• What are the optimal prices and production levels over

time? How to allocate capacity among multiple products?

• What is the impact of demand uncertainty?

• What is the impact of competition? Can we predict the

state of equilibrium?

• Is there a realistic and yet computationally tractable way

to model the dynamic problem?

• Modeling the optimal decision-making problem as a

nonlinear, constrained, dynamic program

• Robust optimization technique incorporates the presence

of uncertainty with limited probabilistic information

• Dynamic aspect with feedback (closed-loop) or without

feedback (open-loop)

• Game theoretical framework and determination of Nash

equilibria encompasses competitors‟ interactions

• Price of anarchy: loss of efficiency due to competition in

the system

• Heuristic algorithm to determine the optimal pricing and

allocation of available production capacity among products

• Under data uncertainty, equivalent robust formulation is of

the same order of complexity; involves safety stock levels

• In a duopoly with uncertain demand, a relaxation algorithm

converges to a particular unique Nash equilibrium

• A good trade-off between performance (closed-loop) and

tractability (open-loop) is to let controls be linearly

dependent with the uncertain data realizations

• Design of incentives (such as a contract) to reduce the loss

of efficiency when suppliers compete on prices.

Travel Data Simulation and Transferability of Household

Travel Survey DataKouros Mohammadian, PhD and Yongping Zhang (PhD Candidate), CME, UIC

Prime Grant Support: Federal Highway Administration (FHWA)



•Household travel data is critical to transportation planning

and modeling

• Surveys are expensive tools

• Emerging modeling techniques (e.g., microsimulation)

need much richer datasets that do not exist in most

metropolitan areas

• Transferring or simulating data seems to be an attractive

solution

•Considered a large set of socio-demographic, built

environment, and transportation system variables to identify

clusters of households with homogeneous travel behavior

•Transferred cluster membership rules and cluster-based

travel attributes to local areas

•Calibrated/Validated travel data transferability model

•Synthesized population for 5 counties of New York City with

all their attributes

•Updated parameters of the transferability model using a small

local sample and Bayesian updating

•Simulated travel attributes for the synthetic population

•Validated the simulated data against actual observed data

•A new travel forecasting modeling approach is designed

and validated

•The new approach significantly improves the process of

travel demand forecasting

•Using synthetically derived data found to be appealing

•The appeal of the approach lies in its low-cost, relative

ease of use, and freely available sources of required

data

•Improved Bayesian updating and small area estimation

techniques for non-normal data

•Improved travel data simulation techniques

•Used synthesized and transferred data for model

calibration and validation.

Synthetic

Households

with 33

Variables

Look-up Tables

Bayesian

Updating

Monte Carlo

Simulation

Population

Synthesizer

Formatted

PUMS

Synthetic

HHs with

Cluster

Membership

Transferred

Travel

Attributes

Updated

Transferred

Travel

Attributes

Simulated

Travel

Attributes

Add-on Data

in

NHTS2001

Validation

Data with

Cluster

Membership

Validation with

Simulation

ANN Module Transferability

Model

NHTS 2001


74

Dynamic Scheduling Process Model:

Model Framework and Data CollectionInvestigators: Kouros Mohammadian and Joshua Auld, CME

Primary Grant Support: CTS IGERT, NSF



•Congestion, environmental effects and other negative

impacts of transportation system are growing

• Mitigation needs no longer met with construction alone

•New solutions are generally behavioral in nature –

TDM strategies, congestion pricing, etc.

• New generation of models which replicate decision

making behavior of travel needed to evaluate next

generation mitigation strategies

• Develop activity based microsimulation model of travel

behavior which directly simulates decision making

process.

•Incorporate learning behavior and group interactions

into decision making

• The decision making model is based on decision

planning which will be observed in long-term GPS-based

travel demand survey.

•Internet-based survey will be used to track participants

movements and gain insight into activity planning

• The framework will relax the fixed order assumption in

activity planning inherent in other activity-based models

•First of its kind long term planning dataset collected

through GPS will be used to develop learning and

planning models

•In the future, the model should incorporate a traffic

simulation module directly in the travel microsimulation

•In the linked activity planning and traffic simulation

model, route learning models should be used for

individual route choices

Towards Lifelike Computer Interfaces that LearnInvestigators: Jason Leigh, Andrew Johnson, Luc Renambot, Thomas A. DeFanti, Computer Science;

Steve Jones, Communication




• The need for ultra-realistic computer-generated characters

(known as avatars) is growing rapidly as the general public

embraces online social environments such as SecondLife,

World of Warcraft, and Facebook.

• Avatars alone are not enough. Autonomous avatars must be

“aware” of the presence of other users and be able to interact

with them intelligently and naturally.

• Once developed these avatars can be used not only to

populate social virtual spaces and games, but also to create

virtual training environments such as emergency response

simulations or doctor/patient interaction scenarios.

• This project co-funds the University of Central Florida to

develop the Artificial Intelligence for the avatar.

• UIC is primarily developing the Responsive Avatar

Engine that will take input from speech as well as a live

camera feed, to produce a lifelike avatar that can speak

back to the user about a topic in a limited domain,

gesture naturally using motion-captured data, and maintain proper eye contact.

• Studies will also be conducted to understand which

aspects of an avatar (visual or auditory) contribute to

making the avatar a believable character. Believability is

important to ensure acceptance by the user.

• A production pipeline that allows us to quickly

create a lifelike digital human character using

image and motion-capture data.

• A responsive avatar engine that will parse speech

input from a user and respond with synthesized

speech and gestures.

• Future goals are to: increase realism, provide

ways for avatars to be “aware” of the presence of

users, and reaction reasonably, and to apply the

technique to a variety of application areas- such

as informal learning environments, training

simulations or gaming environments.

• For more information: projectlifelike.org


75

Using Node Mobility to Enhance Greedy Forwarding in

Geographic Routing for Mobile Ad Hoc NetworksInvestigators: Sol M. Shatz, Department of Computer Science,

Primary Grant Support: U. S. Army Research Office



• Node mobility is normally considered a hazard for

geographic routing, causing a degradation of performance or

even persistent routing failures.

• This research seeks to exploit mobility to enhance greedy

forwarding in geographic routing, especially for those

applications with loose delay constraints.

• Two ways to move a packet: (1) Transmission Hops (TH),

and (2) Physical Motion (PM).

• Trade-offs: TH produces short delay, however it incurs

significant resource consumption and is vulnerable to local-

maximum problems. Use both TH and PM to optimize packet

routing.

• Motion Potential: Combines node mobility attributes with

node position information as a metric to be used in selecting a

next-hop node.

• New approach called Mobility-based Adaptive Greedy

Forwarding (MAGF)

• Our method can enhance routing performance in terms of

route hop-count (energy) and packet delivery rate, especially

under the scenarios of low network density and high node

mobility.

• Uses low computation overhead at each step of forwarding,

maintaining the pure localized decision making of

conventional geographic routing.

• Future research would focus on: (1) energy-delay trade-off

study; (2) long-term mobility pattern predication accuracy.

A Coordination Mechanism for Mobile Devices to Gather

and Share Common-Interest Sensor Data Investigators: Sol M. Shatz, Department of Computer Science,




•Introducing mobile devices into wireless sensor network has

attracted significant attention. However, one fundamental

problem that has not yet been well investigated is how to

effectively coordinate mobile device applications specifically

intended to gather and share sensor data.

•We propose a group-based coordination mechanism for this

context to efficiently exploit potential cooperative behaviors

among multiple mobile devices.

•Dynamically grouping of mobile devices according to their

subscribed interests (represented by queries targeting certain

sensor nodes).

•Inter-group cooperation: a device shares common-interest

sensor data directly with other devices that are interested in

this same data.

•Intra-group cooperation: a device sends data that it happens

to know about, but is not currently interested in itself, to other

devices that have expressed an interest in this data.

•The core theory of ―You Gain, You Pay‖ can help

significantly enforce continuous cooperation.

• This research is especially challenging, but of significant

value, in the context of applications that impose high-volume

data-retrieval requests. It is useful to explore how query

overlaps and query correlations can coordinate sensor-data

requests in a way that avoids unnecessary interactions with

sensors, thus conserving sensor-node energy consumption.

•Future research will focus on: (1) processing long-running

―stream‖ queries; and (2) formally explore the pay-gain

principle.


76

Opinion RetrievalClement Yu

Support: National Science Foundation



• Accurate retrieval by identifying concepts in queries and

documents

• Identifying opinionated features

• Classifying sentences into opinionative sentences

• Determine whether opinions are relevant to the query

topic

• Determine whether the opinion is positive, negative or

mixed (positive and negative)

• Given a collection of documents and a query, the proposed

system finds documents which are relevant to the query and

are opinionated

• The proposed system can advise consumers about the

sentiments of a given product or service. It can suggest hints

for advertisements.

• The system can also analyze political opinions as well as

comparing the political viewpoints of different parties.

• Achieve the highest effectiveness scores for title queries in

the Blog Track of TREC (Text Retrieval Conference) in 2006

and 2007. The tasks include retrieving relevant opinionated

documents as well as classify them into positive, negative or

mixed categories.

• Plan to build various systems to have higher effectiveness,

higher efficiency and satisfy different needs.

Goals Goals ResultsResults• Development of parametric physically-based

propagation models for electromagnetic waves to be jointly used with signal processing optimization methods

• Development of UWB propagation models

• Propagation model for the electromagnetic field that accounts for the clutter and metallic objects in the sea

Adaptive Waveform Design for Full Spectral Dominance

Technical approachTechnical approach

• Application of the Geometrical Theory of Diffraction and of the recently developed Incremental Theory of Diffraction to obtain physically-based parametric models for electromagnetic wave propagation

• Validation by comparison with other numerical methods, such as FD-TD, exact solutions and measurements

UWB propagation models applying the time-domainversion of the uniform theoryof diffraction are accurate forlate times when waveformshave negligible low frequencycomponents

PI: Arye Nehorai Co-PI: Danilo Erricolo

Analytical and numerical models for EM wave propagation

Developed fast 2D propagation

model for the scattering of EM waves by sea surface in the presence of clutter and metallic objects

Validation of the ITD showsaccurate results at caustics


77

Goals Goals ResultsResults

• Development of vector antennas• Collocated sensors• Distributed sensors

• Experimental validation of adaptive waveform design

Adaptive Waveform Design for Full Spectral Dominance

Technical approachTechnical approach

• Acquisition of new instrumentation to generate, transmit and receive adaptive waveforms

• Design of vector sensors

• Anechoic room experiments to measure the performance of adaptive waveform design

Preliminary measurements with collocated vector sensors using CAZAC waveforms show better performance of the

synthesized vector sensor vs. linear array.

PI: Arye Nehorai Co-PI: Danilo Erricolo

Anechoic room measurements and vector sensors

Synthesized collocated vector sensor

Distributed vector sensor

Two-collocated loops

TechnicalTechnical ApproachApproach

• Use Mendelian constraints to form potential feasible family groups

• Use the combinatorial optimization of the covering problem with

various parsimony objectives to find the best sets of family groups

containing all individuals. Typically there is more than one optimal or near optimal solution.

• Use consensus techniques to combine solutions that are optimal,

coming from different methods, or resulting from perturbations allowing for errors in data into one robust error-tolerant solution.

• All resulting optimization problems are NP-hard and provably hard

to approximate. We use commercial optimization package CPLEX to find optimal solutions.

Key Achievements and Future GoalsKey Achievements and Future Goals

kinalyzer.cs.uic.edukinalyzer.cs.uic.edu

The following methods are or becoming available as a webThe following methods are or becoming available as a web--

based service:based service:

•• Reconstruction of sibling groups + error identificationReconstruction of sibling groups + error identification

•• Reconstruction of parental genotypeReconstruction of parental genotype

•• Reconstruction of halfReconstruction of half--sibling relationshipssibling relationships

Future:Future:

• Incorporation of partial information

• Multi generation pedigree reconstruction

• Non-diploid species


Falcons and other birds of prey are extremely secretive about their lives. Sharks are hard to catch in the open ocean. Cowbirds leave eggs in other

birds’ nests and let them raise the cowbird chicks. One of the things

common to all these species is that it is difficult to study their mating

system. It is even difficult to identify which animals are siblings. Yet, this

simple fact is necessary for conservation, animal management, and understanding of evolutionary mechanisms.

New technologies for collecting genotypic data from natural populations

open the possibilities of investigating many fundamental biological

phenomena. Yet full utilization of the genotypic data is only possible if

statistical and computational approaches keep pace with our ability to sample organisms and obtain their genotypes.

Our goal is to develop robust computational methods for reconstructing kinship relationships from microsatellite data.

Reconstructing Kinship from Genetic SamplesReconstructing Kinship from Genetic SamplesTanya Berger-Wolf and Bhaskar DasGupta, Computer Science, UIC;

Mary Ashley, Biology, UIC; Wanpracha Chaovalitwongse, Industrial Engineering, Rutgers

CACACACA5‟

Alleles

CACACACA

CACACACACACA

CACACACACACACA

#1

#2

#3

Genotypes

1/1 2/2 3/3 1/2 1/3 2/3

MicrosatellitesMicrosatellites

Reconstruct


78

Scalable Mining on Information NetworksInvestigators: Philip S. Yu, Computer Science Department



• Data accumulated at exponential rate across

all organizations , all domains, and all

geographies

• These data often not in structured record

format - we focus on graphs and networks

• Need to be able to mine the vast amount of

data to get useful information and knowledge

• Identify distinctive or discriminative

substructures in the graph as features

• Devise new similarity measures on graphs

• Explore graph compression to reduce a huge

graph into a smaller one for further analysis

• Conduct community mining from multi-relational

networks

• Capture dynamic and evolutional behavior of

networks

• Develop real-time processing capability to

address monitoring type applications

• Graph indexing methods

• Similarity search methods for graphs

• Data Integration, cleaning and validation

techniques in Information Networks

• Online Analytical Processing paradigms for

Information Networks

• Algorithms for mining Information Networks,

including social networks

• Real-time stream mining algorithms

Co-author networkYeast protein

interaction network

Mobile Sampling of Sensor Field Data

Using Controlled BroadcastInvestigators: Sol M. Shatz, Department of Computer Science




• A mobile object (car) is traveling along a path, and at some specific

time/location (for example, T0) it decides to take a sample of the sensor field, i.e.,

collect sensor data from near-by sensor nodes. The larger circle denotes the

sampling region. Each sensor in that region will consequently be activated and

reply with its locally sensed data.

•One challenge is in controlling the process that sensors use to respond to a

request for sensor data from a mobile sink. This entails controlling how sensors

route their sensed data to the mobile object.

•Goal #1: Reduce message transmission

•Goal #2: Reduce packet collisions

• Concept of Band: Band i (0<i<N+1) = {(x,y) coordinates | a sensor node located

at position (x,y) will receive the sampling signal with a signal-strength greater than

or equal to SISi but less than SISi-1} where SIS represents sampling initiation signal

strength.

•Basic protocol:

•Band scheduling: For sensor nodes in band i, there exists a specific time window,

called the band‘s stage and denoted Si, during which these nodes can

report/broadcast their own sensor readings. Outside of this time window, these

sensor nodes can only forward packets that originated in other (higher) bands.

•Result #1:

The studied algorithm produced far less total messages sent (received) for

serving each mobile sampling task than conventional flooding and counter-based

broadcast, both under the simplified MAC protocol and collision/decay MAC

protocol.

•Result #2:

The packet collision rate also deceases significantly by employing the band

scheduling method.

•Some Future Goals:

Data aggregation using possible band scheduling arrangement.

Coordinating multiple sampling tasks that overlap with each other.

Sensor Node

Mobile Object

Motion Path

Sampling Region

T0

Band 1

Band 2

Band 3

Band 4 (Outside of the sampling region)

Upon receiving a Sampling-Initiation-Signal, SIS(st_id, mo_id, bmf)

Calculate Band_Number bn based on received SIS strength and bmf;

If (bn ≠ N) {

//N is the largest Band_Number in the bmf

Generate a sensor data reply packet, p;

Broadcast the generated packet p (st_id, bn);

}

// only broadcast a reply packet if located within the sampling region

Upon receiving a sensor data packet P (st_id, bn) by sensor sn

If ((sn has received a sampling signal with id st_id)&(bn ≥ Band_Number of sn))

Rebroadcast the packet;

Else

Discard the packet;


79

Inference of Online Auction ShillsInvestigators: Sol M. Shatz, Department of Computer Science




• Shill bidding, a fraudulent bidding behavior, occurs

often in online auctions. However, since the strategies

for shill bidding can be subtle and complex, it may not

be noticed by victims.

• In this research, we study the behaviors of online

auction shills and seek to effectively infer shilling

behavior to reduce the loss of auction winners.

• We propose a two-step approach to infer shills:

In the shill detection module, model checking is used

to detect shill suspects in real time. A detection engine

assigns masses to quantify different pieces of evidence.

In the verification module, a mathematical theory of

evidence, Dempster-Shafer theory, is employed to

combine the information from different sources and thus

to reduce the uncertainties involved in the evidence.

• Real time detection of shills has a significant value in

notifying victims and cancelling compromised

transactions.

• A verification module based on Dempster-Shafer

Theory can significantly reduce the false positives

generated from any single piece of evidence.

• Future research will focus on (1) Building a purchasing

intention model to assist shill inference, and (2)

Designing an algorithm to automatically identify shill evidence.

Cognitive Wireless Channels

Investigators: Natasha Devroye, ECE

Primary Grant Support: UIC-WISEST startup funds



• Cognitive radios are wireless devices which are able to

sense and adapt to their wireless environment

• Cognitive radio technology, when properly exploited,

may drastically improve the spectral efficiency in wireless

networks using secondary spectrum access: subject to

some constraints, they may access the spectrum licensed out to primary users (license holders)

• Our goal is to determine the fundamental limits of

communication possible by modeling ``cognition‟‟

information theoretically

• We model the flexibility and ability of cognitive radios as

extra side-information about the wireless communication

channel, the interference conditions, or the primary user‟s

message

• We use classical information theoretic tools to obtain

achievable rate regions and outer bounds for various

cognitive radio channels

• Information theoretic techniques such as binning (dirty-

paper coding), superposition coding and cooperation are combined in the derivation of achievable rate regions

•The more side-information is available at the cognitive transmitter or receiver the higher the achievable rates

• A key achievement has been the introduction of the

cognitive radio channel, or the notion of cognition to the

information theory community

• Inner and outer bounds to the capacity region of a variety

of cognitive scenarios are obtained

• Future work include extensions to more than 2

transmitters and receivers, to deterministic channels as

well as to channels with partial channel state information

• Future work will also compare different forms of cognition

from a practical perspective: we intend to implement

cognitive transmission schemes on a software-defined

radio platform (USRP+GNU radio)

Cognitive radio channel

Non-causal

side information


80

Multi-way communicationInvestigators:Natasha Devroye, ECE

Primary Grant Support: UIC-WISEST startup funds



• Communication is its most general form is a multi-way

problem rather than an aggregation of 1-way problems;

messages travel --> as well as <--

• In a wireless network we can take advantage of the

``broadcast nature‟‟ of wireless communication to

overhear messages transmitted by other nodes and combine information traveling in many directions

• Our main goal is to improve spectral efficiency (higher

bits/second/hertz) in wireless networks with multi-way

information flows

• As a first example we consider the bi-directional relay

channel: nodes a and b exchange messages through the

help of a relay node r

• Communication is subject to a time-division duplex

constraint: a node cannot Tx and Rx at the same time

• We take an information theoretic approach and obtain

inner and outer bounds on the capacity region for a

number of different protocols and relaying schemes:

- Relaying schemes: Compress-and-forward, Decode-and-forward, Amplify-and-forward

- Temporal protocols: 2 phase, 3 phase and 4 phase

protocols are devised and shown to be optimal under

different channel conditions

• Comprehensive treatment of the single relay bi-

directional channel: inner and outer bounds are tight in

certain regimes

• Future work will extend to multiple sources, destinations,

relays. We will also consider relays which have

independent messages of their own to transmit (e.g.

cognitive radios)

Multiple Description Coding Over Correlated ChannelsInvestigators: Songqing Zhao; Daniela Tuninetti; Rashid Ansari; Dan Schonfeld (ECE, UIC)

Primary Grant Support: University Fellowship



•Multi-path routing in today‟s network allows to deliver

information to a receiver though different channels.

•The channels are in general correlated (I.e., wireless

networks), that is, reception failures on different

channels are not independent.

•We focus on send a single source though multiple

channels by using a Multiple Description Code (MDC).

• We aim to (a) find the rate allocation that minimize the

average reconstruction error at the receiver, and (b)

understand the effect of channel correlation on the

distortion performance.

•For two erasure channels, we determine when MDC is

better than Single Description Coding (SDC) by using

Lagrange duality theory.

•For block-fading Gaussian channels, we determine the

optimal average distortion in the high-SNR (signal to

noise ratio) regime by using the diversity-multiplexing

tradeoff framework.

•For block-fading Gaussian channels, we also determine

the SNR-offset, that is to say, the maximum gap between

the distortion in the high-SNR approximation and the

actual distortion.

• For erasure channels, analytical bounds and numerical

results are obtained to determine when MDC or SDC is

optimal. Suboptimal but simple rate allocation policies

are proposed.

• For fading channels, fading correlation does not affect

the distortion exponent, but causes a distortion offset.

• We show that determining the distortion exponent of

MDC scheme for fading channels reduces to solving a

linear programming problem.

• Future work will extend the current results to other

channel models, such as cross-interference channels

and channels with power control.

MDC

Encoder

Channel 1

Channel 2

Channel N

MDC

Decoder

…


81

Protocols of Gaussian Fading ChannelInvestigators: Yang Weng, Daniela Tuninetti, ECE;

Prime Grant Support: NSF CAREER 0643954



•In wireless peer-to-peer networks, the signal by mobile

users experienced wide fluctuations due to fading and

interference.

• Orthogonalization techniques, such as TDMA (time

division multiple access), although leading to simple

network architectures, can be very suboptimal in terms of

achievable rates.

•We propose communication strategies that improve

network throughout over TDMA, especially at low SNR (signal to noise ratio).

• We consider a network of interference channels, where

the receiver signal at receiver is

where are Gaussian, white and, without of generality

with unit power. represent the channel gain while

inputs are limited to power .

•Our goal is to determine the outage capacity of the

above network when the instantaneous fading state is

unknown to the transmitters. This scenario is relevant in

ad-hoc network with user‟s mobility.

• We derived inner and outer bounds for the capacity of

the fading interference channels.

• The bounds are compared in the limit for high-SNR.

• We find that, opposed to the un-faded case, the outer

and the inner bounds do not always coincide.

• We plan to extend our results to networks with more

than two users.

Brief Bibliography:

Y. Weng, D. Tuninetti

”Outage analysis of Block-Fading Gaussian Interference Channels”, 2009 SPAWC, June 2009, Perugia, Italy.

Deterministic Approximation of Gaussian NetworksInvestigators: Daniela Tuninetti, Natasha Devroye, Stefano Rini, Electrical and Computer Engineering

Primary Grant Support: Dr. Tuninetti‘s NSF CAREER grant.



• In multi-terminal additive Gaussian noise networks two

factors determine the network performance: the noise

and user interference.

•While we understand how to operate networks in the

noise limited regime (i.e., the interference power is

comparable to the noise power), we still do not have a

clear grasp on how to operate networks in the interference limited regime.

•A promising tool towards this goal is to approximate the

(probabilistic) Gaussian network with a deterministic one

in which the effect of the noise is neglected and the

interference among users is deterministic.

1. The signals and the noise are approximated with

binary vectors whose length equals the number of

bits that we can be send over a link.

2. All the bits received below the noise level are

considered erased (i.e., unreliable).

3. Real-value summations are approximated by

binary XOR operations.

• We determined the capacity region of the deterministic

two-user cognitive interference network.

• This result provided some inside on the the capacity of

a general Gaussian cognitive network.

• Our future goal is to determine the capacity of

Gaussian cognitive interference channels within a

constant gap.

• We will extend this framework to more general

cooperative networks.

+

XOR

1. Translate the received powers in bit levels

2. Bits received at the same power as the noise are `erased‟.

3. Approximate the real sum with a bit-wise sum

The noise `erases‟ some bits.

The remaining bits interfere with each other.

In this simplified framework, the effect of the noise and

of the interference becomes deterministic. Determining

the optimal network performance is expected to be

easier for the deterministic network than for the original

probabilistic Gaussian network.

82

INFRASTRUCTURE AND ENERGY/ENVIRONMENTAL TECHNOLOGY

Research projects in Infrastructure and Energy/Environmental Technology include activities

such as power electronics, energy efficient networks, carbon nanostructures, combustion and

emissions, and environmental contamination. This research thrust area is populated by faculty

from many departments, including chemical engineering, civil and materials engineering,

electrical and computer engineering, and mechanical and industrial engineering.

For an on-line view of the quad-charts in the Infrastructure and Energy/Environmental

Technology area, visit the College of Engineering‘s research web page at the following URL:




83

Studies on Fluid-Particle SystemsRaffi M. Turian, Chemical Engineering Department

Prime Grant Support: NSF, DOE, EPA, International Fine Particle Research Institute



• Prediction of Effective Properties of Suspensions from

Properties of Constituents.

• Prediction of Flow Regimes and Transition Velocities

in Slurry Transport and Design of Coal Slurry Pipelines.

• Cleaning, De-watering of Fine Coal.and Formulation of

Coal-Water Fuels (CWF).

• Design of Vitrification Processes for Nuclear Waste

Disposal.

• Measurement and Correlation of Effective Properties of

Solid-Liquid Suspensions.

• Experiments and Modeling of Flow of Highly-Loaded

Coarse-Particle Slurries through Piping Systems.

• Rheology and Flow of Concentrated Fine-Particle and

Colloidal Suspensions.

• Experiments and Modeling of Filtration and De-

watering of Fine Particulate Materials.

• Developed a Comprehensive Self-consistent Slurry

Flow-Regime Delineation Scheme.

•Established Correlations for Prediction of Effective

Properties and Friction Losses for Slurries.

• Developed Methodologies for Design of Slurry Pipelines

and Vitrification Processes.

• Developed Methods for Enhancing Dewatering, and

Formulation of CWF.

Kinetics of Combustion Related ProcessesInvestigator: John H. Kiefer, Department of Chemical Engineering

Prime Grant Support: U. S. Department of Energy



• Program involves use of shock tube with laser

schlieren (LS), dump tank, GC/MS analysis and

time-of-flight (TOF) mass spectrometry as

diagnostics for exploration of reaction rates and

energy transfer processes over an extremely wide range of T and P

• We are interested primarily in energy transfer and

the kinetics of unimolecular reactions at

combustion temperatures, in particular the

phenomena of unimolecular incubation and falloff

• Measure density gradients in shock waves.

• d /dx directly proportional to rate of reaction

•Technique has outstanding resolution, sensitivity

and accuracy

•Allows rate measurement for faster reactions and

higher temperatures than any other technique

• Measured non-statistical (non-RRKM) reaction rates

for CF3CH3 dissociation; only such experimental study

to date

•Measured rates in very fast relaxation, incubation and

dissociation for a large number of important

combustion species

•Developed a complete chemical kinetic model for

ethane dissociation, a particularly important reaction

in combustion systems

• Estimated the heat of formation of t-butyl radical in

neopentane (C5H12) dissociation; consequently developed a complete kinetic model

• Future work: Study toluene decomposition, falloff in

pyrolle and stilbene, extended use of our simple

method to extract energy transfer rates


84

NextNext--Generation Power ElectronicsGeneration Power ElectronicsInvestigator: Sudip K. Mazumder, Electrical and Computer EngineeInvestigator: Sudip K. Mazumder, Electrical and Computer Engineeringring

Prime Grant Support: NSF, DOE (SECA and I&I), PNNL, CEC, NASA, CPrime Grant Support: NSF, DOE (SECA and I&I), PNNL, CEC, NASA, Ceramatec, Airforce (award pending), TI, Alteraeramatec, Airforce (award pending), TI, Altera



• To achieve reliable interactive powerTo achieve reliable interactive power--electronics networkselectronics networks

•• To design and develop powerTo design and develop power--management electronics for management electronics for

residential and vehicular applications of renewable/alternate residential and vehicular applications of renewable/alternate

energy sources (e.g., fuel and photovoltaic cells)energy sources (e.g., fuel and photovoltaic cells)

•• To achieve higher power density and realize systems on chip To achieve higher power density and realize systems on chip

•• Stability and Stabilization of PowerStability and Stabilization of Power--Electronics Networks:Electronics Networks:a) Global stability analysis of stochastic and functional hybrida) Global stability analysis of stochastic and functional hybrid systemsystem

b) Stabilization using wireless networked controlb) Stabilization using wireless networked control

•• Optimal Fuel Cell based Stationary and Vehicular Energy Optimal Fuel Cell based Stationary and Vehicular Energy

SystemsSystemsa) Resolving interactions among energy source (such as fuel cella) Resolving interactions among energy source (such as fuel cells), s),

power electronics, and balance of plant. power electronics, and balance of plant.

b) Fuelb) Fuel--cell powercell power--electronics inverter design that simultaneously meet electronics inverter design that simultaneously meet

criteria of cost, durability, and energy efficiencycriteria of cost, durability, and energy efficiency

•• Robust and efficient power devices and smart power ASICRobust and efficient power devices and smart power ASICa) Higha) High--speed, EMI immune, widespeed, EMI immune, wide--bandgap power devicesbandgap power devices

b) Integration of lowb) Integration of low-- and highand high--voltage electronics on the same chipvoltage electronics on the same chip

•• First, wireless distributed control dc/dc and multiphase First, wireless distributed control dc/dc and multiphase

converters and threeconverters and three--phase induction motor controlphase induction motor control

•• First, zeroFirst, zero--ripple, multilevel, energyripple, multilevel, energy--efficient fuel cell inverterefficient fuel cell inverter

•• First, photonicallyFirst, photonically--triggered power transistor design for power triggered power transistor design for power

electronicselectronics

•• First, nonlinear VRM controller for nextFirst, nonlinear VRM controller for next--generation Pentium generation Pentium

processorsprocessors

•• Comprehensive solidComprehensive solid--oxideoxide--fuelfuel--cell (SOFC) spatiocell (SOFC) spatio--temporal temporal

system modelsystem model

MURI: Analysis and design of ultrawide-band and high-power microwave pulse

interactions with electronic circuits and systemsInvestigators: P.L.E. Uslenghi (P.I.), S. Dutt, D. Erricolo, H-.Y. D. Yang, ECE

in collaboration with Clemson University, Houston University, Ohio State University, University of Illinois

at Urbana-Champaign, University of Michigan

Prime Grant Support: AFOSRProblem Statement and Motivation


• Understand and predict the effects of the

new electromagnetic threat represented

by high power microwave (HPM) and ultrawide

band (UWB) pulses on digital electronic

systems found inside fixed or moving

platforms.

• Develop recommendations for performing field tests/measurements

•Apply electromagnetic topology to predict

the effects of HPM/UWB aggressor signals

•Apply recently developed fast and accurate

computer simulation tools.

•Further extend the capabilities of the

computer simulation tools to obtain a better

understanding of the overall problem.

• Fast computer codes are under

development at UH, UIUC, UM and OSU.

• Topology studies are underway at CU.

Analysis of devices and of processor faults

are being conducted at CU and UIC.

• Validation tests for codes are being

developed at CU, OSU, and UIC.

Pulser

E

H

Illuminated target

High Power EM fields

External EM Source

(Impulse Radiating Antenna)


85

High Pressure Single Pulse Shock TubeKenneth Brezinsky, Mechanical and Industrial Engineering

Sponsors: Department of Energy, National Science Foundation,

National Aeronautical Space Administration, Office of Naval Research

1) “Shock Tube Study of Thermal Rearrangement of 1,5-

Hexadiyne over Wide Temperature and Pressure

Regime”, J. Phys. Chem. A 2004, 108, 3406-3415

2) “A High Pressure Model for the Oxidation of Toluene”,

In Press, Proc. Int. Comb. Symp. 30, 2004

3) “High Pressure, High Temperature Oxidation of

Toluene”, Combustion and Flame, 139(4), 340-350, 2004

4) “Ethane Oxidation and Pyrolysis from 5 bar to 1000

bar: Experiments and Simulation”.,In Press, International

Journal of Chemical Kinetics, 2004

5) “Chemical Kinetic Simulations behind Reflected Shock

Waves”, Submitted, Int. J. Chem. Kin., 2005

6) “Isomeric Product Distributions from the Self Reaction

of Propargyl Radicals”, Submitted, J. Phys. Chem. 2005

High Pressure Shock Tube:

5 atm < Pressure < 1000 atm

800 K < Temperature < 3000 K

0.5 ms < time < 2.0 ms

Oxidation of Aromatic Compounds

Soot Formation Chemistry

High Pressure Carbon Monoxide

Combustion

Rocket Nozzle Erosion Chemistry

High-Rate Synthesis of Carbon Nanostructures in Oxy-FlamesInvestigators: Lawrence A. Kennedy, MIE; Alexei V. Saveliev, MIE

Prime Grant Support: National Science Foundation, Air Liquide



• Carbon nanotubes are materials of the future and

synthesis techniques are required for their high quality

production at commercial rates

• At present, oxy-flames are the major industrial source

of pyrolytic (black) carbon. The development of high-

rate synthesis method of carbon nanotubes and carbon

nanofibers with controlled structure and morphology will

open new horizons stimulating numerous applications

requiring large volumes of carbon nanomaterials

• Formation of carbon nanomaterials in opposed flow

flames of methane and oxygen enriched air is studied

experimentally at various oxygen contents

• A catalytic probe is introduced in the flame media, the

products are analyzed using transmission and scanning

electron microscopy

• An electric field control of carbon nanomaterial growth

is implemented applying combinations of internal and

external fields

• A model of carbon nanotube interaction with electric

field is developed and applied for the result interpretation

• The method of high-rate synthesis of vertically aligned

CNTs with high purity and regularity has been developed

• It is shown experimentally that application of controlled

electrostatic potential to a catalytic probe in a flame

induces uniform growth of CNT layer of multi-walled

nanotubes

• The mechanism of the electric field growth

enhancement has been studied experimentally and

theoretically. It is found that the major influence of the

electric field is related to the polarization alignment of

growing nanotubes and charge induced stresses acting

on the catalytic particles

~40 m0.34nm

(c)

(b)

(a)

(d)


86

INTEGRATED ELECTROCHEMICAL SOIL REMEDIATIONInvestigator: Krishna R. Reddy, Department of Civil & Materials Engineering




•More than 500,000 contaminated sites exist in the U.S.

that require urgent remediation to protect public health

and the environment

•Existing technologies are ineffective or expensive for

the remediation of mixed contamination (any

combination of toxic organic chemicals, heavy metals,

and radionuclides) in heterogeneous/low permeability subsurface environments

• Innovative and effective new technologies are urgently needed

•Chemical oxidation can destroy organic contaminants, while

electrokinetic remediation can remove heavy metals

• Integration of chemical oxidation and electrokinetic

remediation is proposed to accomplish simultaneous:

•Electroosmotic delivery of the oxidant into

homogeneous and heterogeneous soils to destroy

organic contaminants

•Removal of heavy metals by electromigration and electroosomosis processes

•Fundamental processes and field implementation

considerations are being investigated through bench-scale

experiments, mathematical modeling, and field pilot-scale

testing

•Bench-scale experiments revealed that:

•Oxidants such as hydrogen peroxide can be introduced

into clay soils effectively based on electroosomosis

process. Native iron in soils can be utilized as catalyst

in Fenton-like reactions. Organic compounds such as

PAHs can be destroyed.

•Heavy metals such as mercury and nickel can

electromigrate towards the electrode wells and then be

removed.

•Electrical energy consumption is low

• On-going research evaluating field contaminated soils,

optimization of the process variables, mathematical modeling,

and planning of field pilot-scale test.

Black Carbon in the Great Lakes EnvironmentInvestigators: Karl Rockne, PhD, PE, Department of Civil and Materials Engineering

Prime Grant Support: Environmental Protection Agency



• Previous literature reports suggest that Black Carbon (soot) does not have significant intra-particle porosity

•We hypothesize that not only is black carbon highly

porous at small pore scales, but it is an important vector

for hydrophobic organic contaminant transport in the

environment

• These include important airborne pollutants such as

polycyclic aromatic hydrocarbons (PAHs), and

potentially, emerging pollutants such as polybrominated diphenyl ethers (PBDEs).

•Density Functional Theory/gas porisimetry and chemical

characterization of soot particles

• Sediment sampling on all the Great Lakes onboard the

R/V Lake Guardian

• Characterization of black carbon and other organic

material in the sediment cores

• Quantification of deposition rates using radiological

dating techniques

• Quantification of hydrophobic pollutants

• Modeling of deposition processes

• Characterization of high intra-particle porosity primarily

in the nano/micro-pore size

• Quantification of the deposition in the Great Lakes

Basin

• Demonstration of its importance to PAH and PBDE

deposition to Great Lakes Sediment

• Future goal is to combine air sampling with black

carbon quantification

•Couple Lake Michigan soot deposition history to

historical hydrocarbon usage rates in the Chicago area


87

Volumetric fluid content

(cm3/cm3)

0.0 0.1 0.2 0.3 0.4

Depth

(cm

)

0

5

10

15

20

25

30

35

40

45

50

Water

Oil

Air

Visualization of Multiphase Flow in Porous MediaInvestigators: Christophe Darnault, UIC, Civil and Materials Engineering Department;

Tammo Steenhuis, Cornell University, Biological and Environmental Engineering Department

Prime Grant Support: United States Air Force Office of Scientific Research



• Groundwater pollution involving nonaqueous phase liquids

(NAPLs) is threatening the environment and human health.

• Transient and multiphase flow in porous media: preferential flow

•Preferential flow is a by-pass transport phenomena that facilitates the

transport of water and pollutants (e.g. NAPLs) through vadose zone

and impacts the quality of groundwater resources

• Development of non-invasive and non-destructive visualization and

measurement method for characterization of vadose zone hydrology

and processes

• Development of high spatial and temporal resolution method for

quantification of fluid contents

• Development of a Light Transmission Method (LTM) to visualize

transient and multiphase flow in porous media

• LTM consists in (1) placing an experimental chamber where

multiphase flow in porous media occurs in front of a light source,

(2) recording the transmitted light through a video camera, and (3)

converting images in HSI (Hue, Saturation and Intensity) system

• A calibration chamber containing cells with known fluid ratios

representative of sand-water-oil-air system was used to obtain

relationships between Hue (color) & Water Content (colored with a

blue dye), as well as Intensity & Liquid Content (Water and Oil)

• Validation of LTM was performed using Synchrotron X-rays

• Transient flow experiment consisted in a point source water

fingering flow (preferential flow) in sand-oil-air-system occurring

in a two-dimensional chamber (See Above Figure)

• Development of a technique to visualize and to investigate

the mechanics of multiphase flow in porous media, with the

following characteristics:

• Non-intrusive and non-destructive method

• High spatial and temporal resolution method

• Use for transient and multiphase flow

• Visualization of the whole flow field

• Acquisition of key parameters (e.g. fluid contents,

velocity, dimensions) for flow in porous media and to

validate one and two-dimensional computer models

• Simulation of groundwater remediation technologies

Visualization of water fingering phenomena in soil-air-oil system using (a) RGB system, (b) hue image,

and (c) intensity image. Vertical fluid content profile of a water finger in soil-air-oil system

a b c

Evaluation of Full-Depth Precast/Prestressed Concrete Bridge Deck

Replacement with Protective Overlay System

Mohsen A. Issa, Ph.D., P.E., S.E., FACI, Department of Civil and Materials Engineering

The projects are Supported by IDOT & IDOT/Modjeski and Masters, Inc.



• Corrosion of reinforcing steel and the consequent

delamination of bridge decks are considerably intensified

by the use of deicing chemicals on highways.

• Effective rehabilitation methods with minimal

construction time and bridge closures and without

interference with the traffic flow are needed.

• Reliable, economic, and durable overlay construction

without fault practices is crucial to protect the underlying

bride deck system.

• Full-Scale bridge system was fabricated and tested under

simulated AASHTO HS20 truck fatigue loading.

• The bridge was tested before and after overlay application

for the maximum negative and positive moments.

• Target performance criteria were adopted to ensure

successful and economic overlay construction.

• laboratory Investigations supported with field applications

were implemented for the overlay performance evaluation.

• The proposed bridge deck system provides an

effective, fast, and economic design concept for the

rehabilitation and new bridge construction.

• Protective LMC and MSC overlays that can last at

least 20 years, are successfully developed.

• LMC overlay with synthetic fibers will be applied

soon on the New Mississippi River Bridge deck.


88

Performance-Based Aspects and Structural Behavior of High Performance

Fibrous Bonded Concrete Overlays

Professor Mohsen Issa: Ph.D., P.E., S.E., FACI, Department of Civil and Materials Engineering

Ph.D. Student: Mohammad Alhassan

The Study is Supported by IDOT/Modjeski and Masters, Inc.



• Most of the overlay projects have experienced early age

delaminations and severe cracking.

• Development of high performance, durable, reliable, and

cost-efficient overlay is essential to effectively protect bridge

decks from corrosion problems and consequent deteriorations.

• The stress state at the overlay-deck bond interface and the

enhancement in the stiffness of a bridge by the overlay

require reasonable analysis and quantification.

•Development of high performance, durable bonded concrete

overlay for the New Mississippi River Bridge.

• Plain and fibrous LMC and MSC overlay mixtures

meeting target performance criteria were developed.

• The developed LMC with synthetic fibers were selected as

overlay system for the New Mississippi River Bridge, the

Widest Stay-Cable Bridge in the World.

• Guidelines were proposed regarding the magnitudes of

live load and shrinkage-induced bond stresses.

• Future goals include: 1) evaluating the performance of

LMC and MSC overlays with different types of fibers; and

2) monitoring the long-term overlay performance.Strain,

-500 -250 0 250 500 750 1000 1250 1500 1750 2000 2250 2500 2750

Loa

d, k

ip

0

100

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Loa

d, k

N

0

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1000

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Surface tension

Sur

face

com

pres

sion

Strain @ top of overlay over central support

Strain @ top of overlay 14 ft from central support

Investigation of different overlay materials

For the New Mississippi River Bridge, the

widest cable stayed bridge in the world

Experimental and Theoretical Behavior of Reinforced Concrete Beams and

Columns Wrapped with CFRP-CompositesMohsen A. Issa, Ph.D., P.E., S.E., FACI, Department of Civil and Materials Engineering

Ph.D Student: Rajai Alrousan



• Fabrication of reinforced concrete (RC) beams and columns

and testing their behaviors with and without CFRP-composites.

• Performing nonlinear finite element analysis (FEA) to simulate

the response of the beams and columns.

• Calibration and validation of the FEA models.

• Expansion of the FEA to study additional critical issues related

to the beams shear strength and ultimate strength of columns.

• Use of the experimental and FEA results to provide rational

models that predict the beam shear strength and column

ultimate capacity based on the configuration of CFRP

composites.

• The study showed that the CFRP-composites is a very effective

strengthening/repair system that provide substantial

enhancements in the behaviors of beams and columns.

• Guidelines and preliminary models were proposed to predict the

shear strength of RC beams and ultimate strength of columns

strengthened with CFRP-composites.

• Various repair projects of beams and columns were

implemented employing the recommendations of this research.

• The current work is focusing onto rationalizing the proposed

preliminary models to be applicable for any CFRP-composite

configuration and concrete strength.

▪ Worldwide repairing of aging infrastructure became necessary

as the structural elements cease to provide satisfactory strength

and serviceability, etc.

▪ Sudden failures (brittle) of RC columns and beams, are

considered as the most disastrous failure modes that occur

with no advance warning of tribulation.

▪ Use of CFRP-composites can provide substantial enhancements

in the beams shear strength and column ultimate capacity.

▪ It is very beneficial and crucial to provide rationalized models

that consider the concrete and structure nonlinearities.


89

Structural Health Monitoring System (SHMS) for Bridge Girders

Retrofitted with CFRP CompositesMohsen A. Issa, Ph.D., P.E., S.E., FACI, Department of Civil and Materials Engineering

The Study is Supported by the Illinois Toll Highway Authority



• Health monitoring systems were incorporated in large-scale

bridge members, full-scale bridge prototypes, and actual Toll

Highway Authority bridges.

• The critical locations were selected based on laboratory

experimental programs and nonlinear finite element analysis.

• The effectiveness of the health monitoring systems were

evaluated based on: accuracy of data, simplicity of installation,

cost, reliability, and durability.

• Various health monitoring systems were incorporated in actual

repair projects of damaged I-girders. The data is continuously

collected and showed consistence results with the actual

conditions of the repaired girders.

• The current and future work are focused toward designing and

selecting wireless health monitoring systems that are durable,

reliable, and smart to send understandable and accurate

messages about the conditions of the major bridge components.

▪ It is imperative that bridges are always open to traffic, resistant

to natural disaster, and undaunted by millions of loading cycles.

▪ Early signs of deterioration are often not seen because bridge

components mask them. It is hard to visually inspect or using

hardwiring sensors in some components of special bridges.

▪ Structural health monitoring (SHM) is the diagnostic

monitoring

of the integrity or condition of a structure capable of detecting

and locating damage or degradation in its components.

▪ It is crucial to evaluate and recommend long-term bridge

monitoring systems that are cost-effective, durable, and reliable.Time (days) 0 20 40 60 80 100 120 140 160 180 200

Str

ain,

-250

-200

-150

-100

-50

0

50

100

150

200

250

MSC (plain)

MSC (with synthetic fibers)

MSC (with steel fibers)

210

- 230

Development of an Innovative Prefabricated Full-Depth Precast Concrete Bridge

Deck System for Fast Track Construction, Get in, Get out, and Stay out

Mohsen A. Issa, Ph.D., P.E., S.E., FACI, Department of Civil and Materials Engineering

The projects are Supported by Illinois Department of TransportationProblem Statement and Motivation


• The interstate highway system is approaching its service life

and urban congestion is increasing. Anticipated future costs

of repair/reconstruction of the nation‘s infrastructures are

huge.

• Utilization of innovative full-depth deck panel system (high

performance, durable, ease and speed of construction, cost-

saving, aesthetic, minimal noise, and no interference with the

traffic flow) leads to substantial reductions in the costs of

repair and new construction projects.

• The concerns about the performance of the components of the

system and its constructability require systematic optimization

to achieve high performance and fast construction.

• All of the full-depth system major components (deck panels

configurations, transverse joints, post-tensioning levels, shear

connectors, overlay system, and materials) were tested and

optimized based on consecutive studies included large scale

specimens and prototypes.

• Nonlinear finite element models were created to optimize the

components and support the experimental testing.

• Based on the findings, a full-scale prototype bridge full depth

deck panel system was designed, fabricated, and tested with

and without overlay simulating AASHTO HS-20 truck

loading, overload, and ultimate load .

• Complete innovative full-depth deck panel system with clear

information about its constructability and details and

performance of its components was developed .

• The system is utilized in many new and repair bridge projects

implementing the recommendations of this study.

• Current and future research are focused onto generalizing the

full-depth concept to develop totally prefabricated

superstructure system (bridge deck and beams).

• The developed full-depth system as well as the LMC overlay

system will be utilized in the coming New Mississippi River

Bridge Project (the widest stay-cable bridge in the world).


90

Modeling Toll Plaza Queueing and Air Quality

Investigators: Jane Lin,

Department of Civil and Materials Engineering & Institute of Environmental Science and Policy

Funded by Illinois State Toll Highway Authority



• Illinois Tollway‟s 5-year 5-billion-dollar conversion of

existing toll plazas to open road tolling (ORT) system

will have large impact on regional highway traffic

• Lack of analytical tools to model toll plaza queueing

phenomena, and also scientifically challenging because

of both physical design and uncertainty of human

decision procedure

• Potential air quality, health exposure, social and

economic impacts

• Step 1: Development of stochastic toll plaza queueing

models with probabilistic lane selection

•Step 2: Calibration using field observations and traffic

simulation model

• Step 3: Estimation of vehicle emissions from queued

traffic using EPA‟s emission model at user-specified

spatial and temporal resolutions

• Step 4: Prediction of pollution concentrations at given

distance to road center line

• Step 5: Estimation of population exposure in GIS

• Project started in early 2005

• Final product of this project is a windows-based, user-

friendly toll plaza air quality model with sound queueing

algorithm and improved pollution prediction method

• This model can be used to quantify the impact of (ORT)

on toll plaza traffic, air quality and even human exposure

• Future goals include improving the model algorithm in

heavy traffic, developing a microscopic toll plaza

queueing simulation model, and assessing ORT‟s social,

economic, and environmental impacts at the regional

level.

Toll Plaza CO Screening Tool (TPCOST)

Investigators: Jane Lin, PhD, assistant professor

Department of Civil and Materials Engineering & Institute of Environmental Science and Policy

Funded by Illinois State Toll Highway Authority

Model Validation

Problem Statement and Motivation Sensitivity Analysis

• Project level CO hot-spot analysis requirement

• EPA models for roadside air quality prediction:

•CALINE3/4: uninterrupted highway traffic

•CAL3QHC: signalized intersection

• Illinois DOT‟s COSIM model

•Based on CAL3QHC with MOBILE6 emission factor estimation

• Problem: those models aren‟t suitable for toll highways

because traffic conditions and physical configurations are

different at toll plaza than a signalized intersection

• Need a model suitable for CO prediction on tollways

0

0. 05

0. 1

0. 15

0. 2

0. 25

100 400 700 1000 1300 1600 1900 2200 2500

Tr af f i c Vol ume ( Veh/ hr )

CO c

once

ntra

tion

(PP

M)

Manual

Aut o

CV I PO

PC I PO

PC I PX

CV Manual


91

DYNAMIC WATER BALANCE AND GEOTECHNICAL

STABILITY OF BIOREACTOR LANDFILLSInvestigator: Krishna R. Reddy, Department of Civil and Materials Engineering

Prime Grant Support: NSF, EREF, CReeD & Veolia Environment



• In conventional “dry tomb” landfills, waste biodegradation is

very slow because of the lack of adequate moisture. These

landfills require long-term monitoring for any potential

environmental problems (regarding the water and air pollution).

• The leachate re-injection or addition of selected liquids to

landfill waste (bioreactor) has potential to accelerate waste

decomposition and settlement, but will affect the waste properties and slope stability.

•Urgent need exists to understand the moisture distribution in

the waste and its effects on waste biodegradation and

properties as well as geotechnical stability of landfills.

Monitoring several bioreactors to monitor moisture content

(with geophysics), biogas and leachate production and

quality, waste degradation and properties, and waste

settlement.

Developing a mathematical model for:

Understanding the spatial and temporal variations of moisture distribution and landfill settlement

Incorporating change in waste properties caused by

decomposition with respect to time

Understanding the influence of leachate recirculation

on landfill settlement and slope stability

Optimizing leachate recirculation system designs

• Field monitoring at bioreactor landfills is in progress.

Studies conducted to date show that dynamic moisture

variations within the waste mass during leachate

recirculation can be characterized with geophysical

methods (electrical resistivity tomography).

•Coupled flow and mechanical modeling is in progress

for different bioreactor landfill conditions. Preliminary

results show that the coupled flow and mechanical

modeling can predict both waste moisture and settlement

with time under different operational conditions.

•Field monitoring and modeling results will be utilized to

develop design and monitoring guidelines for bioreactor

landfills.

Quantifying the Effects of Fluid Flow Characteristics Near the

Nozzle Tip on Diesel Engine Particulate Emissions

• This research is being performed in collaboration with ANL.

• ANL‟s Advanced Photon Source (APS) is

used to obtain quantitative data of CAT HEUI

315B fuel injector spray.

• State-of-art flame diagnostic tools will be

used to obtain in-cylinder images and data of

the fuel injector spray and combustion in a CAT single cylinder engine.

• In collaboration with CAT the KIVA-3V code will be developed further and various sub-models, such as for fluid breakup, will be improved.

• Parametric studies will be performed to quantify the effects of fuel injection pressure, tip orifice size and geometry on engine performance, emissions, and particulate formation.

Gravitational Effects on Partially Premixed Flames

• Fire suppression on Earth and in space.

• Multi-scale modeling of combustion and two-phase phenomenon.

• Application of advanced CFD methods using detailed chemistry and transport models to characterize the effective of various fire suppressants..

Simulation of Partially Premixed Flames Burning a Variety of Fuels

• Blending Hydrogen to primary

reference fuels to improve

combustion and emission characteristics.

• Flame structure, extinction, and emission characteristics of

high pressure flames with different fuels [H2, CH4, n-heptane, Synthetic Gas] in engine-like conditions.

• Innovative strategies to reduce combustion-generated pollutants.

• Extensive use of computer graphics and animation.

• Experimental and numerical

investigation of structure and emission characteristics of n-heptane flames.

Achievements

• Developed comprehensive CFD-based reacting flow codes using detailed chemistry and transport models for a variety of flames.

• Application of these codes to investigate

structure and emission characteristics of high-pressure partially premixed flames (PPF).

stabilization, liftoff, and blowout of nonpremixed and partiallypremixed flames in Earth and Space environments.

effect of hydrogen blending with hydrocarbon fuels on flame stability and emissions of NOx, soot, etc.

combustion and emission characteristics of alternative fuels, such as hydrogen, synthetic gas, ethanol, and bio-diesels.

• Develop innovative strategies including partial premixing, alternative

fuels, and fuel blending to improve combustor performance and reduce pollutants emissions.

Combustion and Emissions Research Relevant to Practical SystemsS. K. Aggarwal, MIE/UIC; I. K. Puri, Virginia Tech; V. R. Katta, ISSI; D. Longman, ANL.

Primary Sponsors: ANL, NASA, NSF


92

Large-Scale Simulation of Complex FlowsInvestigators: F. Mashayek, MIE/UIC; D. Kopriva/FSU; G. Lapenta/LANL

Prime Grant Support: ONR, NSF



• Pioneered DNS of evaporating/reacting droplets in

compressible flows.

• Developed a multidomain spectral element code for large

clusters.

• Developed user-defined functions (UDFs) for implementation

of improved models in the CFD package Fluent.

• Developed several new turbulence models for

particle/droplet-laden turbulent flows.

• In the process of development of a new LES code with

unstructured grid.

• Investigating advanced concepts for liquid fuel combustors

based on counter-current shear flow.

The goal of this project is to develop advanced

computational techniques for prediction of various

particle/droplet-laden turbulent flows without or

with chemical reaction. These techniques are

implemented to investigate, in particular, liquid-fuel

combustors for control of combustion and design

of advanced combustors based on a counter-

current shear concept. The experimental

components are conducted at the University of

Minnesota and the University of Maryland.

• Turbulence modeling and simulation

• Direct numerical simulation (DNS)

• Large-eddy simulation (LES)

• Reynolds averaged Navier-Stokes (RANS)

• Droplet modeling

• Probability density function (PDF)

• Stochastic

• Combustion modeling

• PDF

• Eddy-breakup

• Flamelet

• Flow simulation

• Spectral element

• Finite volume

• Finite element

Droplet Impact on Solid Surfaces Investigator: C. M. Megaridis, Mechanical and Industrial Engineering

Prime Grant Support: Motorola, NASA



• Droplet impact ubiquitous in nature and relevant to many practical technologies (coatings, adhesives, etc.)

• Spreading/recoiling of droplets impacting on solid

surfaces (ranging from wettable to non-wettable)

features rich inertial, viscous and capillary phenomena

• Objective is to provide insight into the dynamic

behavior of the apparent contact angle and its

dependence on contact-line velocity VCL at various

degrees of surface wetting

• Perform high-speed imaging of droplet impacts under a

variety of conditions

• By correlating the temporal behaviors of contact angle

and contact-line speed VCL, the vs. VCL relationship is established

• Common wetting theories are implemented to extract

values of microscopic wetting parameters (such as slip

length) required to match the experimental data

• Surface wettability has a critical influence on dynamic

contact angle behavior

• There is no universal expression to relate contact angle

with contact-line speed

• Spreading on non-wettable surfaces indicates that only

partial liquid/solid contact is maintained

• The present results offer guidance for numerical or

analytical studies, which require the implementation of

boundary conditions at the moving contact line


93

Gateway Traveler Information SystemInvestigators: John Dillenburg, Pete Nelson, and Doug Rorem, CS Department

Prime Grant Support: Illinois Department of Transportation



•• Integrate disparate systems into a central traffic Integrate disparate systems into a central traffic

information systeminformation system

•• Provide XML and CORBA data streams to Provide XML and CORBA data streams to

government agencies, academic institutions, and government agencies, academic institutions, and

industryindustry

•• Provide Provide www.gcmtravel.comwww.gcmtravel.com website with realwebsite with real--time time

maps of congestion, travel times, incidents and maps of congestion, travel times, incidents and

constructionconstruction

• System developed by AI Lab personnel System developed by AI Lab personnel

•• Centerpiece of corridorCenterpiece of corridor‟‟s intelligent transportation s intelligent transportation

system architecturesystem architecture

•• Uses NTCIP CenterUses NTCIP Center--toto--center communications center communications

standards to network with Tollway and other IDOT standards to network with Tollway and other IDOT

agenciesagencies

•• Advanced AI techniques for data fusion of multiple data Advanced AI techniques for data fusion of multiple data

sourcessources

•• Website hosted via 4 clustered servers in AI LabWebsite hosted via 4 clustered servers in AI Lab

•• Dual T1 lines to Schaumburg for traffic data feeds and Dual T1 lines to Schaumburg for traffic data feeds and

Internet access for IDOTInternet access for IDOT

•• 435,000,000 website hits per year435,000,000 website hits per year

••USDOTUSDOT‟‟s s ““Best Traveler Information WebsiteBest Traveler Information Website”” two years two years

in a rowin a row

•• Traffic data from Wisconsin Department of Traffic data from Wisconsin Department of

TransportationTransportation‟‟s MONITOR system, Indiana Department s MONITOR system, Indiana Department

of Transportation, *999, Northwest Central Dispatch, of Transportation, *999, Northwest Central Dispatch,

IDOTIDOT‟‟s Traffic System Centers Traffic System Center

•• Gateway II system planned for near future: upgraded Gateway II system planned for near future: upgraded

hardware and software, more data connections to other hardware and software, more data connections to other

agencies, 511 integration, cell phones as probes for agencies, 511 integration, cell phones as probes for

arterial streets, redundant fault tolerant design, geoarterial streets, redundant fault tolerant design, geo--

database upgradedatabase upgrade

Activity-Based Microsimulation Model of Travel DemandKouros Mohammadian, PhD, S. Yagi, J. Auld, and T.H. Rashidi (PhD Candidates), CME, UIC

Source of Funding: NIPC/CMAP, FACID, and IGERT (NSF)



•Traditional four step travel demand models are widely

criticized for their limitations and theoretical deficiencies

•These problems lead the model to be less policy

sensitive than desired

•Travel is derived from participation in activities. This fact

is not accounted for in 4-step models. Therefore, there is

a need for a better modeling approach

•An activity-based microsimulation travel demand model is

considered that simulates activity schedules for all

individuals

•The modeling framework utilizes both econometric and

heuristic (rule-based) approaches

•All human activities are related to broad project categories

which have a common goal (e.g., Work, School,

Entertainment, etc.) and tasks and activity episodes that are

required to reach that goal are modeled

•Activity participation is modeled at household/individual level

(microsimulation)

•Explicit representation of time/space of occurrence for all

travel episodes, linked to associated activities

•Activity scheduling model is linked to a population

synthesizer, rescheduling and resource allocation models, and

a regional network microsimulation and emission models

•A comprehensive multi-tier activity-based

microsimulation modeling system is developed.

•A new population synthesizer is developed.

•Activity scheduling/rescheduling decision rules are

developed and applied to adjust the simulated daily activity patterns.

•Intra-household interaction rules are developed and

applied to account for joint activity generation and

household maintenance activity allocation problems.

•Transferability of activity scheduling/rescheduling

decision rules across different spatial and temporal

contexts are evaluated.

•The microsimulation model is applied to evaluate future

transportation policy scenarios.

Synthetic Population

Synthetic City Activity Generation Model

Activity Scheduling Model

Executed Schedules

Travel Demand

Activity-Based Modeling

Emission Model

Highway/TransitNetwork Assignment

Activity/TravelMicrosimulation

ADS/HTSSurveys

Policyscenarios

PolicyAnalysis

SynthesizedPopulation Activities/

Tours/Trips

Vehicle/FuelCondition


94

Structural Health Monitoring of Turin’s Olympic Village

Cable-Stayed BridgeInvestigators: Iman Talebinejad, Chad Fischer, Luca Giacosa, and Farhad Ansari

Civil & Materials Engineering - Sponsor: City of Turin



• Cable-stayed bridges can have complex geometry and

non-standard structural members making them difficult

to analyze with conventional methods.

• Previous problems with vibrations in similar pedestrian

bridges have been experienced.

• The long term performance of such bridges has not

been fully documented.

• Employed fiber optic sensors to monitor the

performance of the bridge cables.

• Monitor the cables during load tests and under ambient

vibration conditions.

• Use finite element modeling to correlate sensor data

and understand the modal properties and long term

performance of the bridge.

• Establishment of structural performance of asymmetric

cable-stayed bridges.

• Developed methods to estimate dynamic

characteristics of the bridge by only monitoring cable

forces in the bridge.

• Real-time monitoring to assess the long term bridge

performance by observing changes in sensor response.

Fiber Optic Weigh-in-Motion (WIM) sensor for BridgesLuisa Degiovanni and Farhad Ansari, Civil and Materials Engineering, University of Illinois at

Chicago



• The measure of static axle load of heavy vehicles as they drive

at highway speed is an effective tool for condition assessment of

in-service structures.

• Results can be used for improvement of pavement managing

systems, road transport analysis, detection of overloaded vehicles, enforcement of weight limits.

• INVERSE PROBLEM: use the response of a highway bridge to

weigh trucks.

• Application of fiber optic sensor technology (accuracy, low cost, light weight, Immune to interference, non-intrusive).

• Placement of sensors under the bridge deck (no need for new construction or weigh station).

• Use of influence lines as a tool for the detection of the truck weight through the bridge deck responses to loading.

• development of sensors

and data processing

system for the detection of

speed and static axle loads of heavy vehicles.

• evaluations of errors due

to the dynamics of the

problem, due to vehicles

speed, change in tires

pressure, spring types, pavement roughness.

INFLUENCE LINE

60

65

70

75

80

85

90

95

100

105

110

150 160 170 180 190 200 210 220 230 240 250

load location

str

ain

MODEL 1

= LINK POINT

1

= LOCAL STRAIN FBG POSITION

2 3

LANE 1 LANE 2

• WIM systems may provide

reliable information about the

actual dynamic load and

calculate the fatigue cycles experienced by the structures.

• study of WIM systems (sensors number and placement to improve the accuracy).


95

Nucleation and Precipitation Processes in the Vadose Zone

During Contaminant Transport

Investigators: Burcu Uyusur, UIC Civil and Materials Engineering Department;

Christophe Darnault, UIC Civil and Materials Engineering Department;

Kathryn L. Nagy, UIC Earth and Environmental Science Department

Neil C. Sturchio, UIC Earth and Environmental Science Department;Soufiane Mekki, UIC Earth and Environmental Science Department

Primary Grant Support: U.S. Department of Energy

SEM and EDS of metaschoepite(UO3·n(H2O)(n<2)

(Buck et al., 2004)

Technical Approach

Three dimensional unsaturated column experiments

Two dimensional light transmission visualization experiments

Autoradiography Technique

Surface Analysis techniques (BET Gas Adsorption; AFM-Atomic Force Microscopy; XRD-X Ray Diffraction)

Insight Analysis Techniques (TRLFS-Time Resolved Laser

Fluorescence Spectroscopy; EXAFS- Extended X-Ray Absorption Fine Structure)

Incorporation of the data to a reactive transport code


•Leakage has been determined in the vadose zone sediments of

Hanford Site, U.S. Department of Energy Complex in Washington since 1950s, including radioactive elements such as uranium.

•Preferential flow, a common phenomena in unsaturated soil, is the

movement of water and solutes faster than the average pore watervelocity due to fingering.

Visualization and mapping of simulated Hanford leakage water

•Contaminant mobility is affected by sorption, colloid formation,nucleation and precipitation of secondary solids.

Characterize and quantify the formation of secondary

precipitates in the presence of uranium with quartz and feldsparminerals.

Investigation of possible colloid formation

Achievements and Future Goals

Understanding the fate and transport of uranium in simulated

Hanford vadose zone

Refining the conditions needed for incorporation of radionuclides into secondary solids.

Predicting the effect of precipitates on vadose zone flow.

Modeling with colloids, nucleation, precipitation, sorption incorporated

Extracting general governing ideas applicable to other radioactive contaminated sites

Fate and Transport of Fullerenes and SingleFate and Transport of Fullerenes and Single--Wall Carbon Nanotubes (SWNT)Wall Carbon Nanotubes (SWNT)

in Unsaturated and Saturated Porous Mediain Unsaturated and Saturated Porous MediaInvestigators: Itzel G Godinez, UIC, Department of Civil and MatInvestigators: Itzel G Godinez, UIC, Department of Civil and Materials Engineering; erials Engineering;

Christophe Darnault, UIC, Department of Civil and Materials EngiChristophe Darnault, UIC, Department of Civil and Materials Engineering neering

Primary Grant Support: National Science Foundation Bridge to thePrimary Grant Support: National Science Foundation Bridge to the Doctorate Fellowship at the University of Illinois at ChicagoDoctorate Fellowship at the University of Illinois at Chicago

Technical ApproachTechnical Approach• Implementation of segmented soil columns to assess the transport

of fullerenes and SWNTs in unsaturated conditions

• Concentration of nanomaterials in column‘s effluent will be analyzed by UV-vis spectrophotometer

• Three-dimensional reconstruction of the columns will be accomplished through the Advanced Photon Source Hard-Ray Microbe from Argonne National Laboratory

• Pore-scale visualization technique will consist of an infiltration chamber, mounting assembly, light source, electronic equipment (e.g. camera, lens and computer system), and imaging software

Problem Statement and MotivationProblem Statement and Motivation• Generation of scientific data to explain the fate and transport of

nanomaterials in subsurface environment

• Development of non-intrusive, high-spatial and temporal techniques to describe transport and measure concentrations of fullerenes and SWNTs in porous media

• Assessment of the extend in which fullerenes and SWNTs are transported in the vadose zone through preferential flow

• Establishment of the impact of wetting and drying cycles on the transport of nanomaterials by characterizing the role of gas-liquid interface regions and reconstructing the soil column‘s three-dimensional structure

• Development of a pore-scale visualization method by adapting existing models and techniques to investigate the mechanisms controlling nanomaterials retention and immobilization in unsaturated porous media (e.g. air-water and air-water-soil interfaces)

Expected Key Achievements and GoalsExpected Key Achievements and Goals• Development of techniques to visualize and describe the fate and

transport of fullerenes and SWNTs in the vadose zone by preferential flow according to the following characteristics:

Non-intrusive, high-spatial and temporal methods

Use of preferential flow (e.g. fingering and gravitational flow)

Reconstruction of 3-D columns

Development of a real-time pore-scale visualization method

Acquiring data (e.g. nanomaterial concentration, soil moisture, velocity, distribution of nanoparticles, etc.) to explain the behavior of nanomaterials in porous media under different conditions


96

Transferability of Household Travel Survey Data for Small Areas

Jie (Jane) Lina,b, Ph.D. Assistant Professor, Liang Long (PhD candidate)a,

aDepartment of Civil and Materials Engineering & bInstitute of Environmental Science and Policy

Funded by the Federal Highway Administration



• Defining neighborhood type using US Census Transportation Planning

Package (CTPP). Each neighborhood type is distinctively defined and

reasonably homogenous in terms of socio-economic and travel

characteristics.

• Two-level random coefficient models are applied to test transferability of

travel attributes across geographic areas, like number of trips, Mode Choice

and Vehicle Miles Traveled(VMT) by using National Household Travel

Survey (NHTS) for each neighborhood type.

•Small area estimation methods, i.e. Generalized regression estimator,

synthetic estimator and empirical linear unbiased predictor, are investigated

to simulate travel survey information for local areas by using NHTS and

CTPP.

• Studies have shown the importance of residential location,

neighborhood type and household lifestyle to household travel

behavior.

•We have shown that transferability can be formulated into a two-

level random coefficient structure and thus transferability can be

statistically tested. In general number of journey to work vehicle

trips is the most transferable across geographic areas compared to

mode choice. While the mode choice is transferable across CMSAs

with similar census tracts information.

• Small area estimation provides good methods to simulate local

travel information by using National survey dataset, like NHTS and

CTPP.

• Metropolitan Planning Organizations (MPOs) with population of

over 50,000 are required to have their models calibrated on a

continuing basis using new data

• Surveys are expensive instruments and the data required to support

the planning process can become outdated

• Improving simple conventional approach of testing feasibility of

transferability

• Investigating new methods of updating/synthesis trip information

Modeling Land Use, Bus Ridership and Air Quality: A Case Study of Chicago Bus ServiceJie (Jane) Lina,b, Ph.D., Assistant Professor, Minyan Ruana (PhD student)

aDepartment of Civil and Materials Engineering & bInstitute for Environmental Science and Policy

Study Area and Problem Statement

Model Structure Key Findings and Future Work

• Fifty-five CTA bus routes covering 9 neighborhood

type with distinct characteristics are studied between

2001 and 2003.

• An effective public transit system will reduce traffic

pollution by attracting more passengers from auto drive.

• Public transit accessibility and ridership are affected

by land use in the neighboring areas along the transit

lines.

• Investigating the relations between land use features

and bus ridership will help find way to improve the air

quality.

• The unit ridership daily bus emission will decrease if stops

are added in the route.

• Total population in the urban non-Hispanic Black

neighborhoods is positively correlated with unit ridership

daily bus emission due to low employment rates, poor

connectivity to transit, and therefore low transit users in

general .

• High road length in the urban elite neighborhoods

decrease the unit ridership daily bus emissions .

• Future goal includes modeling the emission at stop level,

in order to provide direct explanation between the type of surrounding neighborhood and ridership at each bus stop.

• A mixed regression model with heterogeneity among

routes, via random effects, and autocorrelation over time,

via autoregressive error terms was built.

• The first-order autoregressive error structure AR(1) and

Toeplitz TOEP(h) error structure are tested.

• The unit ridership daily bus emission (defined as daily bus

emission per ridership by route) was estimated using the

Chicago-specific summer and winter input parameters for

both PM10

and NOX.

•The set of possible covariates include features in Transit

service, sociodemographics and land use by neighborhood type, and 11 month dummy variables refer to January .


97

Trip Table Realization: Underlying Stochasticity and Its Effects on Assigned Link Flows

Wenjing Pu (PhD student)a, David Boyce, PhDc, Jie (Jane) Lina,b, PhDaDepartment of Civil and Materials Engineering & bInstitute of Environmental Science and Policy

cDepartment of Civil and Environmental Engineering, Northwestern University



• A static trip table can only represent the travel demand

distribution during a specific time period (e.g. peak

hours) of a day

• Random day-to-day variations in travel demand,

however, inherently exist

• This research aims to explore the impacts of trip table

random day-to-day variation on assigned link flows and

costs

• The original static trip table is assumed to be the

“mean” trip table for the modeling period (e.g. peak

hours) over a number of days

• Each O-D demand (cell value) is independent and has

a Poisson distribution about the original value

• Inverse transformation was used to generate random

number of trips for each OD pair

• Total 30 realized trip tables were simulated for Chicago

and Barcelona network, respectively

• All original and realized trip tables were assigned to

relevant networks using command code TAPAS

• Although large discrepancy exists for the cell-level OD

trips, the overall variability of the assigned link flows and

costs is fairly small

• Justified the common practice of only using only one

original trip table to do trip assignment when the

objective is to obtain overall network performance

measurements, such as VMT, VHT

• However, it should be cautioned in drawing conclusions

on a sub-network level analysis (individual link level) and

scenario analysis where large link flow variations may be

found

• Future research could relax the Poisson assumption

BUS ROUTE SCHEDULE ADHERENCE ASSESSMENT USING

AUTOMATIC VEHICLE LOCATION (AVL) DATAMaster‘s thesis: Peng Wanga, Advisors: Jie (Jane) Lina,b, Darold Barnumc

aDepartment of Civil and Materials Engineering & bInstitute for Environmental Science and Policy, cDepartment of Management, Funded Chicago Transit Authority (through Urban Transportation Center)



•Transit service reliability has been the top 1 factor that

influences customers‟ satisfaction with transit service.

•Reliability performance measures (e.g. running time

adherence, headway regularity, etc.) often show contradicting

results separately.

•Objective: To demonstrate an optimization method that

develops a composite performance index of bus route

schedule adherence by combining two elementary metrics

together.

0

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16_C 17_U 30_f 8_f 30_H 4_f 11_U 7_f 8_c 15_c 1_c 5_O 30_o 26_X 30_X 30_O

DMU (Week_RouteDirection)

Perc

en

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Scor e PosRT. Met r i c NagRT. Met r i c PosHW. Met r i c NagHW. Met r i c

Illustration of Relationship between Performance Scores and Metric Values

•Development of elementary reliability performance

measures using archived panel AVL data obtained from

CTA

•Using a linear program model based on Data Envelopment

Analysis (DEA) to combine the above four individual

measures into a single composite index

•Using panel data analysis technique to estimate the

confidence intervals of the obtained performance scores

•Conducting DEA-based sensitivity analysis to investigate

the influence of input variations on the generated

performance scores

•The research demonstrates that a linear program

method is able to generate one single composite

measure that accounts for all input measures properly.

The method is testd on 48 CTA bus route-directions over

6 months in 2006, using the archived continuous

Automatic Vehicle Location (AVL) data collected by on-

board devices on CTA buses.

•Future direction: to expand the study to including more

performance measures and the entire CTA bus system.


98

Electrostatic Atomizers for Mineral & Biological Oil CombustionInvestigators: Farzad Mashayek, MIE/UIC; John Shrimpton, Imperial College London




• Electrostatic spraying has already been successfully

implemented for a range of mineral oils.

• A workable theory exists for predicting the size of the

drops by assuming a negligible role of

hydrodynamics.

• The main goal of this project is to extend this process

to bio-fuels which are viscous than common diesel

oil.

• The role of hydrodynamic and the physics behind the

charge injection process will be investigated

theoretically to improve the design of the atomizer.

Bio-fuel combustion in direct injection engines and

stationary gas turbines is now widely considered

as a potential solution to future energy crisis.

Burning bio-fuels reduces CO2 production by

naturally recycling this gas. It is also strategically

favored because of reducing our dependency to

foreign mineral oil. The main impediment to

existing technology for combustion of bio-fuels,

however, is the difficulty of atomization due to

higher viscosity of these oils.

We use an electrostatic process which has proven

extremely efficient in improving atomization,

dispersion, evaporation rate, and hence combustion

mixture preparation. The novelty of this work lies in

the implementation of this process for electrically

insulating liquids such as bio-fuels. This is

accomplished by injecting charge into the liquid

prior to its flow through the orifice. The charging

process is more efficient for more viscous fluids and

requires a negligible (~ mW) electric power with a

small (~ 3-4 bar) pressure. This makes these

nozzles ideal for injection of highly viscous liquid

fuels without any need for preheating.

The nozzleSpray without (left) and with

(right) charge injection

Combustion of Diesel

oil in open air

Travel Data Simulation and Transferability of Household

Travel Survey DataKouros Mohammadian, PhD and Yongping Zhang (PhD Candidate), CME, UIC

Prime Grant Support: Federal Highway Administration (FHWA)



•Household travel data is critical to transportation planning

and modeling

• Surveys are expensive tools

• Emerging modeling techniques (e.g., microsimulation)

need much richer datasets that do not exist in most

metropolitan areas

• Transferring or simulating data seems to be an attractive

solution

•Considered a large set of socio-demographic, built

environment, and transportation system variables to identify

clusters of households with homogeneous travel behavior

•Transferred cluster membership rules and cluster-based

travel attributes to local areas

•Calibrated/Validated travel data transferability model

•Synthesized population for 5 counties of New York City with

all their attributes

•Updated parameters of the transferability model using a small

local sample and Bayesian updating

•Simulated travel attributes for the synthetic population

•Validated the simulated data against actual observed data

•A new travel forecasting modeling approach is designed

and validated

•The new approach significantly improves the process of

travel demand forecasting

•Using synthetically derived data found to be appealing

•The appeal of the approach lies in its low-cost, relative

ease of use, and freely available sources of required

data

•Improved Bayesian updating and small area estimation

techniques for non-normal data

•Improved travel data simulation techniques

•Used synthesized and transferred data for model

calibration and validation.

Synthetic

Households

with 33

Variables

Look-up Tables

Bayesian

Updating

Monte Carlo

Simulation

Population

Synthesizer

Formatted

PUMS

Synthetic

HHs with

Cluster

Membership

Transferred

Travel

Attributes

Updated

Transferred

Travel

Attributes

Simulated

Travel

Attributes

Add-on Data

in

NHTS2001

Validation

Data with

Cluster

Membership

Validation with

Simulation

ANN Module Transferability

Model

NHTS 2001


99

Post Seismic Structural Health Monitoring of BridgesInvestigators: A. Bassam, A. Iranmanesh and F. Ansari, Civil and Materials Engineering




• Network of serially multiplexed

fiber optic sensors

• Real-time Damage detection

• Development of novel fiber optic seismic sensors

•Real-time monitoring of progressive damage

•Robust Damage Detection Methodologies0 5 10 15 20 25 30

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Curvature, rad/mm

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In the event of earthquakes it is important to quickly

estimate the severity of damage

Bridges are the

major lifelines of

the infrastructure

system

Freight Mode Choice Modeling:

Applications to Freight Transportation and LogisticsInvestigators: Kouros Mohammadian and Amir Samimi, CME

Primary Grant Support: Illinois Department of Transportation



• An efficient freight transportation system could have

considerable positive impacts on the economy.

• Freight models and related public policy tools are far

behind the logistics and technological advances.

• Freight transport modeling frameworks should be

revised in a way that captures the basis of decision

making process across the supply chain.

• Simulate the commodity flow between each pair of

firms using the Freight Analysis Framework and County

Business Patterns 2005 data from census.

• Do a survey to model the logistic cost of the shipment.

The survey should have data on individual shipments;

freight terminals, consolidation and distribution centers,

ports and airports; and also transport and logistics costs.

•Determine the shipment size for each firm pair by

minimizing the total logistic costs for each commodity group.

•Assign the commodity flow to the whole network.

• Developing a behavior-based model is in the design

process to improve freight movement analysis.

• The framework relies mostly on the available datasets,

however because of the deficiency of the authentic public

data, a well-developed survey could boost the model

accuracy significantly.

• Firms, as the real decision making units, are making

the decisions in the model.

• Data simulation techniques should be improved.

• Model results should be validated with the real

observations.


100

PIPING POTENTIAL IN EARTH DAMSInvestigators: Krishna Reddy & Kevin Richards, Department of Civil and Materials Engineering




•Piping causes approximately 46% of all dam failures, with the

backwards erosion mode of piping in perhaps 31% of all these

piping cases

•Current methods for evaluation of backwards erosion piping

have not been successful in preventing or assessing piping in

unfiltered dams, which results in billions of dollars in

unnecessary damages and repairs each year.

•A laboratory investigation of the constitutive behavior of pipe

initiation is necessary to define key parameters that influence

piping potential and to allow formulation of predictive tools and

develop remediation strategies.

Previous investigations into piping have focused on pipe

progression. Our focus is on pipe initiation, which should yield

a more sensitive tool for the prediction of the critical hydraulic

conditions necessary to initiate piping.

Previous investigators have found a correlation between

confining stress conditions and critical piping parameters. Our

work is addressing this phenomenon in more detail.

Research includes conducting bench-scale experiments to (1)

determine the critical hydraulic gradient and the critical

discharge coefficient of different granular soils subjected to

variable confining stresses in a true-triaxial load cell, and (2)

assessing the influence seepage direction and the rate of

change in hydraulic loading conditions has on the critical

hydraulic gradient and critical discharge coefficient.

• Different soil types have been characterized and are

being used in the experiments

• Preliminary results have found a relationship between

the confining stresses and critical piping parameters

when soils are in a non-buoyant condition

•The geometry of the exit also plays a large role in pipe

initiation due to the convergence of flow lines at the exit

point and increased gradients due to confinement. This

explains the high incidence of piping failures where

convergence effects are produced around buried

structures.

•The influence of seepage direction and rate of change of

hydraulic loading are currently being investigated.

REMEDIATION OF CONTAMINATED SUBSURFACE USING

NANOSCALE IRON PARTICLES Investigators: Krishna Reddy & Amid Khodadoust, Department of Civil and Materials Engineering




•Nanoscale zerovalent iron (nZVI) particles have the potential to

be superior to iron filings, both in terms of initial rates of

reduction and total moles of contaminants reduced per mole of

iron.

•Instead of waiting for the contaminants to pass through the

permeable reactive barriers, the nZVI particles can be injected

into the contaminated source zones for rapid and effective detoxification of the contaminants.

•The delivery of nZVI particles into the contaminated zones

uniformly and in required amounts in a controlled manner is

essential for effective remediation.

Our hypotheses are that: (1) as a result of aggregation, nZVI

particles can be transported only to limited distances in

subsurface; and (2) enhancement strategies such as use of

dispersants and pressurized system have potential to enhance

transport of nZVI particles in subsurface.

Research scope includes conducting (1) bench-scale column

experiments to determine transport of nZVI particles in different

gradation soils without and with enhancement strategies, and

(2) bench-scale tank experiments to determine transport of nZVI

particles in homogeneous and heterogeneous soils under the

optimal conditions determined from the column experiments.

Preliminary mathematical modeling will be performed to predict

the transport of nZVI particles in porous media under laboratory

and simulated field conditions.

• Different soil types and commercial nZVI particles are

being characterized and used for the experiments

•. Enhanced treatments are being achieved through the

use of novel dispersants, pressurized system, and the

simultaneous use of dispersant-pressurized systems.

•The commercial nZVI particles possess magnetic

properties; therefore, a real-time transport of the nZVI

particles in porous media is being monitored using an

electromagnetic susceptibility sensor system.

•Experiments are being conducted to evaluate the effects

of soil heterogeneities on the transport of nZVI particles.

The reactivity of nZVI particles is being quantified before

and after transport in contaminated soils.

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Fe0


101

Rapid and Extensive Debromination of Brominated Flame Retardants in

Thermophilic Municipal Wastewater DigestersKe Yin, Jayashree Jayaraj , Kelly Granberg and Karl Rockne*

Department of Civil and Materials Engineering, University of Illinois at Chicago

HYPOTHESIS: Reductive dehalogenation of Deca

and other PBDEs in sewage sludge will be extensive

Technical Approach

Anaerobic digester sludge sampled from two WWTPs:

Calumet (CWRP)– Heavy industrial + domestic waste

Woodridge Green Valley (WGV)– Domestic waste only

Analyzed 49 PBDEs by mass spectrometry-NCI

Debromination rate in continuously mixed flow reactor:

At Steady state:At Steady state:

0.00001

0.0001

0.001

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1

Dis Tris Tetra Penta Hexa Hepta Octa Nona

BDE fraction

No

rm

ali

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BD

E2

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PF- CWRP PD- CWRP

SF- CWRP SD- CWRP

0.00001

0.0001

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BDE fraction

No

rm

ali

zed

To

BD

E2

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PF- WGV MF- WGV

SF- WGV SC- WGV

Figure 1. Total BDE homolog concentrations normalized to deca BDE in the CWRP (left) and WGV (right) digesters at different locations in the plant. Shown are groupings of dibromo

diphenyl ethers through nonabromo diphenyl ethers in primary digester feed (PF), primary

digester draw (PD, CWRP only), secondary (methanogenic) digester feed (SF), secondary

(methanogenic) digester effluent (SD) and sludge cake (SC, WGV only) samples. Note log

scale on the y axis.

Key Achievements & Future Goals

PBDEs are much higher in domestic wastewater!

Deca BDE-209 is rapidly debrominated

Kinetic rate of 0.34 day-1 at WGV

Highest rate ever reported (100x higher!)

Extensive removal in only 10 d

The first report of lower brominated PBDEs being

debrominated in the WWTPs

Banning Octa and Penta technical product will not eliminate their presence in the environment

Continued use of Deca may still release bioavailable and

toxic lower brominated BDEs into the environment

Polybrominated diphenyl ethers (PBDEs)

Used as flame retardants in textiles, electronics and

furniture industries with up to 10 Br per molecule

Consumer products decompose and end up in wastewater

treatment plants (WWTPs)

Deca (10 Br atoms) is relatively non-toxic to humans

Octa and Penta product more bioavailable and toxic

Banned by the European Union and California

Voluntary ban by US manufacturers

Deca is still used in electronics and other plastics

HOWEVER: Halogenated compounds CAN BE

DEHALOGENATED by anaerobic bacteria

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842 West Taylor St., M/C 246; 3077 Engineering Research Facility; [email protected]

Colloidal Quantum Dots and Photosystem-I CompositeInvestigators: Mitra Dutta (ECE)and Michael Stroscio, ECE &BioE

Primary Grant Support: ARO, AFOSR



• Organic-inorganic hybrid structures enable

integration of useful organic and inorganic

characteristics for novel applications such as solar

cell, chemical sensors, and fluorescent biotags.

•Energy transfer in the composite of inorganic

quantum dots (QDs) and photosystem I (PS-I) is not

understood although it is very important and well studied for photosynthesis.

•Synthesis of the composite of inorganic CdSe

QDs and organic PS-I

•Experimental measurement of the energy transfer

between QDs and PS-I


properties by means of photoluminescence, time-

resolved photoluminescence, absorption,

capacitance-voltage and current-voltage

measurements

• Observed energy transfer from CdSe QDs to PS-I

by optical and electrical measurements.

•Photoluminescence data and absorption data

show that the energy of excited carriers of CdSe

QDs to PS-I by means of radiative emission, FRET,

and electron/hole transfer between the inorganic-

organic system.

•I-V measurement data are sensitive to incident

light in the composite CdSe QDs/PS-I material.

•Further studies continue to identify each energy

transfer method.

0

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(eV)- 4

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Fluorescence

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s

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QDs+PS1QDs


102

Electrical Properties for Metallic NanowiresInvestigator: Carmen M. Lilley, Mechanical Engineering



•Successful integration of nanosystems into

microelectronics depends on stable material properties

that are reliable for at least a 10 year lifecycle with over

a trillion cycles of operation.

•Fundamental understanding of the physics of

deformation and failure in nanometer scale capped or

layered structures, where surfaces play a dominant role,

does not exist. Prior work has mostly focused on

monolithic nanometer scale materials.

•Identify surface contaminants present in as-synthesized

nanowires according to metallic, organic, and mixed-

materials classifications.

•Measure the electrical properties of as-synthesized

nanowires and identify contamination effects on electrical

properties with an accuracy of 5%.

•Measure the stability of electrical properties of nanowire

under accelerated electrical testing and classified

according to structure.

• Preliminary results on measuring the presence of

surface contaminants and their influence on electrical

properties completed.1

•In depth study on size and surface effects on

electromigration for Cu and Au nanowires have been

performed.2-4

• Additionally, this work has been extended to studying

electron surface scattering for single crystalline Ag

nanowires.

FIG. 1: (a) Micrograph of a Ag nanowire under 4-

probe I-V measurement, (b) STM scan of the cross-section from left-to-right, (c) line scan profile of

cross-section from left-to-right (solid curve) and right-to-left (dashed curve).

FIG. 2: Electromigration of a Cu

nanowire with the current stress of 4.2

mA (length = 2.04 µm, width = 90 nm, and thickness = 50nm): (a) 0 min, (b) 40

min, (c) 80 min, (d) 120 min, and (e) 137.5 min.

[1] C. M. Lilley, Q. J. Huang, Applied Physics Letters 2006, 89, 203114. [2] Q. J. Huang, C. M. Lilley, M. Bode, R. Divan, Journal of Applied Physics 2008, 104, 23709.

[3] Q. Huang, C. M. Lilley, R. Divan, Nanotechnology 2009, 20, 075706.

[4] Q. Huang, C. M. Lilley, R. S. Divan, M. Bode, IEEE Transactions in Nanotechnology 2008, 7, 688.]

Air Cleaning Technology Laboratory (ACT Lab)Investigators: David Chojnowski, Energy Resources Center

Primary Grant Support: U.S. Department of Energy and National Center for Energy

Management and Building Technologies



• Filtration industry lacks independent laboratory that

correctly performs filtration research and testing

• Numerous gas-removal technologies on the market

making unrealistic claims

• ACT Lab provides unbiased research services for

manufacturers and other universities

• Provides educational service to students and industry

• Fully compliant ASHRAE 52.2 filter test rig

• Capable of particulate and gas-phase removal

efficiency testing of filtration devices

• Up to 2500 CFM air flow

• Full temperature and humidity control

• Adaptable system capable of 100% outside air intake

and exhaust, as well as room air intake and exhaust

• .3-10 µ KCl particle generation and optical particle

counter used to determine efficiency

• Challenge gas generation and detection capabilities

• Completed study quantifying effects of filter bypass on

overall filtration efficiency

• Performed study of ozone removal efficiency of

different devices

• Clients include filter, equipment, and media

manufacturers, as well as universities

• Future plans include expanding client base, as well as

capabilities to include volatile organic compounds

(VOC’s)


103

Clean Energy Conversion TechnologiesInvestigators: John Cuttica, Steffen Mueller, Cliff Haefke (Energy Resources Center)

Primary Grant Support: U.S. Department of Energy, Blue Moon Fund, Midwest SEOs



• Clean Energy Conversion Technologies are defined

as Combined Heat and Power (CHP), Waste Heat

Recovery, District Energy, and other clean energy

systems as solutions to the nation’s current energy

issues.

• Clean Energy Conversion Technologies can provide

energy savings, reduced greenhouse gas emissions

(GHG), reliable power quality, and electric grid

congestion relief.

• The U.S. DOE established a national Challenge to

double the installed capacity of CHP in the U.S. from

46 GW in 1998 to 92 GW by the year 2010.

• The Midwest CHP Application Center (MAC) was

established at the Energy Resources Center (ERC) as

the first-of-its-kind U.S DOE regional application center

to promote the implementation of CHP technologies in the twelve state Midwest Region

• The ERC fosters Clean Energy Conversion Technology

project identification and implementation through

targeted education, unbiased information, and technical

assistance.

• Technology research areas include reciprocating

engines, combustion turbines, steam turbines, fuel

cells, heat recovery, absorption chillers, desiccant

dehumidification, communication controls, grid

interconnect, and anaerobic digesters.

• As of the fall of 2008, the Midwest Region is on track

regarding to its contribution to the National CHP

Challenge

• The MAC was recognized in 2005 with the MEEA

Energy Efficiency Achievement Award and the MAC

Director received the CHP Champion award in 2005

from the U.S. Clean Heat and Power Association (USCHPA) in recognition of the MAC accomplishments

• Completed >50 CHP feasibility assessments and >50 CHP case studies

• Co-sponsored and/or co-organized >20 targeted

market sector workshops reaching more than 1,700

interested attendees

Source: Combined Heat and Power – Effective Energy Solutions for a Sustainable Future, ORNL

Energy Commodity Procurement ProgramInvestigators: John Cuttica, Monica Tith, Energy Resources Center

Prime Grant Support: Illinois Department of Central Management Services



• Natural gas and electricity markets in Illinois are

deregulated

• Management of commodity delivery, pricing, and risk

management are now the responsibility of the end user

• The State realized that direct management of

procurement, billing, and risk management were

essential to protecting the State’s interests and

operating budgets

• The ERC was selected to manage deregulated

commodity procurement for all state facilities

• Data analysis and management is key to supporting

daily purchasing decisions as well as long term strategy

development.

• The ERC developed a series of billing, modeling, and

analytic tools to support data and decision management

activities

• The ERC now trades utility account data with utilities

and suppliers on a daily basis to track and verify

consumption and costs

•Expanded program to include electricity procurement in

addition to natural gas procurement

•Developed prototype data base system for state

agencies to track utility cost/consumption

• Utilized hedging to avoid energy price fluctuations

resulting in net savings for State Agencies (ie: several

million dollars fy08/09)

•Expanding program to include over 15 non-state agency

participation


104

Anaerobic Digester Alternative Energy TechnologiesInvestigators: John Cuttica, Steffen Mueller, Cliff Haefke (Energy Resources Center)

Primary Grant Support: U.S. Department of Energy, Blue Moon Fund, Illinois DCEOProblem Statement and Motivation


• Anaerobic digesters provide the necessary conditions

to foster the natural occurring decomposition of organic

matter by bacteria in the absence of oxygen.

• Anaerobic digestion provides an effective method for

treating the waste products from livestock farming,

food processing, and waste water treatment

industries into:

• Biogas that can be used to provide heat and/or electricity,

injected into the natural gas pipeline, or converted to a compressed or liquid transportation fuel

• Solids (fiber) that can be used as compost, animal bedding, granule fertilizer, and/or medium density fiberboard

• Liquid (filtrate) for liquid fertilizer land application

• The ERC fosters anaerobic digester alternative energy

project identification and implementation in the 12 state

Midwest region through targeted education, unbiased

information, and technical assistance.

• The ERC, working closely with each of the State

Energy Offices and State Agriculture Departments, has

formed partnerships with the anaerobic digester

stakeholders in the Midwest.

• The ERC has implemented a full gamut of outreach

services, including web site, targeted market

workshops, project profiles, site technical and financial

analyses, and specialty reports.

• Since 2004, the ERC has co-organized and/or co-

sponsored 10 waste-to-energy workshops on anaerobic

digester technologies and their market applications in

the agriculture, food processing, and wastewater

treatment industries reaching over 1,200 interested attendees: IA (2), IL (2), IN (3), OH (2), and MI (1).

• The ERC has completed 10 technical feasibility

assessments and 12 project profiles on anaerobic

digester alternative energy projects.

• The Midwest has experienced an increase in anaerobic

digester/biogas fueled CHP systems – over 40

installations totaling more than 37 MW of clean power

Source: US EPA AgStar

The Global Warming and Land Use Impact of Corn Ethanol ProductionInvestigators: Steffen Mueller, Ken Copenhaver; Energy Resources Center

Primary Grant Support: Illinois Corn Marketing Board



•Biofuels production has frequently been recognized as a

means to reduce the United State’s dependence on foreign

transportation fuels.

•However, several studies assert that in certain instances

corn ethanol production can increase greenhouse gas

emissions compared to gasoline.

•Therefore, emerging policy frameworks (California’s Low

Carbon Fuel Standard, Federal Renewable Fuel Standard)

require an assessment of greenhouse gas emissions from

different fuels on a life cycle basis (including all emissions

incurred along the production pathways).

• Life cycle analyses are performed utilizing Argonne National

Laboratory’s GREET model and the BEACCON model, which

was jointly developed by Steffen Mueller from UIC and

Richard Plevin from UC Berkeley.

•Data collection includes:

• Detailed agricultural surveys with corn growers,

• detailed energy balances of corn ethanol

processes, and

• geospatial analyses of land use change around

ethanol plants.

•Project results were published in the following magazines and

peer reviewed journals:

• Plevin, Richard and Steffen Mueller. ”The Effect of CO2

Regulations on the Cost of Corn Ethanol Production”;

Environmental Research Letters 3 (2008) 024003, with Richard Plevin, University of California, Berkeley.

• Mueller, S. (2008) and Richard Plevin (2008). “Global

Warming Intensity of Ethanol - Determining Climate Benefits”; BioCycle Magazine, January 2008.

• Mueller S. and Richard Plevin (2007). “Producing Ethanol

for Low-Carbon Fuel Markets”; Ethanol Producer Magazine, May 2007.

• Additional publications are in review

•We are currently in the process of expanding this research into

the assessment of cellulose biofuels production.

Global Warming Impact of IRE Produced Corn Ethanol

-40.0

-20.0

0.0

20.0

40.0

60.0

80.0

100.0

Gas

oline

GREET D

efau

ltIR

E

Ave

rage

13%

No-

Till

Ave

rage

100

% N

o-Till

gC

O2/M

J

C-Sequestration

IRE Biorefinery

Other Ag andDistribution

N Fertilizer

Net GWI

The Global

Warming Impact

of Corn Ethanol

Produced at the

100 Million Gallon

Per Year Illinois

River Energy

Center is 40%

Lower Than Gasoline.


105

Protection of the Value of Transgenic Crops to the United States Food

and Fuel Supplies Through Insect Pest Resistance Monitoring using

Geospatial TechnologiesInvestigators: Steffen Mueller, Ken Copenhaver; Energy Resources Center

Primary Grant Support: NASA, USEPA



• Corn ethanol has increased value and demand for US corn

• Yield increases have driven use of GMO corn with insecticidal

toxins from 40% of total in 2006 to 57% in 2008

• Potential for insects to develop resistance to toxins increases

with increasing acreage

• USEPA must monitor for this resistance development

• Remote sensing (teaming with NASA) best way to monitor the

34+mil hectare in corn

• Imagery collected at various spatial and temporal resolutions

(airborne and satellite)

• Combined with other geo-spatial layers (weather, soils)

• Decision support system being designed to predict potential

for insect resistance to develop

• Hyperspectral imagery used to identify potential resistance

with infestation as a proxy

• Field scouts verify findings from imagery

• USEPA’s Office of Pesticide Programs plans to use project

results to monitor entire corn landscape in real time

• Project successfully identified infestations in research plots

(2004 and 2005)

• Project successfully identified infestations in production

fields (2006, 2007 and 2008)

• Fields identified in 2007 and 2008 were GMO fields with

insecticidal toxin present indicating potential to identify

resistance

• Operational decision support system up and running by end

of 2010

• USEPA OPP has identified project as worthy of continued

development

• Plans to expand to more locations in the US

Hyperspectral Data Cube

Illinois Corn Field, August 14, 2008

Algorithm identified

insect infestations

in GMO corn (red)

Training Student Engineers Through Industrial Energy Conservation:

The UIC Industrial Assessment CenterInvestigators: Henry Kurth, Matthew Johnson, William M. Worek, Energy Resources Center

Prime Grant Support: U.S. Department of Energy



The UIC-IAC promotes the training of young engineers

in the understanding of the role of energy efficiency,

demand and supply side energy management, and

renewable energy practices in basic manufacturing

systems and operations. The goals of the program are

to provide engineering students with practical

experience and training in energy engineering and

assist small- and medium-sized manufacturers in

identifying opportunities to reduce their energy usage

with investment costs that reside inside their capital

investment guidelines.

• Since September 2000, completed over 155

assessments

• Over 1,300 recommendations identified and quantified

• Over $5.6 million in implemented savings realized by

clients

• UIC-IAC students have been awarded a number of

university and engineering fellowships, scholarships

and honors.

• Students in the UIC-IAC program have a 100%

graduation and placement rate, with the vast majority

of students accepting positions with employers well

before graduation• Return 15% of the Energy Budget with Investment Costs

that pay back in less than 2.5 years

IAC Student Conducting a Flue-Gas Test on a Plant Boiler

A team of faculty, academic professionals and

engineering students visits an industrial plant to conduct

a one-day assessment. Opportunities are identified,

quantified, analyzed, written-up and then presented to

the client in a comprehensive report. Each

recommendation is completely explained, with supporting

information provided that is justified by calculations,

measurements, industry information and vendor cost

quotes. Six to nine months after the assessment, follow-

up contact is made to determine which recommendations

have been implemented, providing a measure of

program effectiveness and feedback to the students on

how they are impacting industry in a meaningful manner.

106

RESEARCH GRANTS

This chapter reports on a sample of active external research grants during the period July 1, 2009

to June 30, 2010.

BIOENGINEERING

Michael Cho

Biopolymers for Tissue Electroporation: The Mechanism of Membrane Sealing, NIH, April 2008 – March 2012.

Role of Surface Roughness in Regulating Tumor Cell Behavior, NIH, September 2008 – August 2013.

Elucidation of Biophysical and Molecular Mechanisms of Nociceptive Signaling in Response to Active Denial

Type 94-GHz Irradiation, Office of Naval Research, October 2008 – September 2011.

Yang Dai

NIH-Supported Centers for Population Health and Health Disparities, NIH, June 2010 – May 2015.

A Systems Biology Understanding of Estrogen Receptor Action, Chicago Biomedical Consortium, January 2010

– December 2011.

The Effect of a Lycopene-Rich Tomato Extract on Gene Expression in Benign Prostate, American Institute for

Cancer Research, January 2010 – December 2011.

David Eddington

(DBI 0852416) IDBR: Controlling Oxygen in Standard Multiwell Plates with a Microfabricated Add-on, NSF,

May 2009 – April 2012.

(DUE 0814375) Collaborative Research: Microfluidics for Multiple Engineering Disciplines, NSF, December

2008 – November 2011.

Microscale Spatiotemporal Control over the Neurochemical Tone in the Brain Slice, NIH, May 2009 – May 2011.

(DUE 0931472) Biomimetic Multifunctional Device for Quantification and Analysis of Circulating Tumor Cells

(CTC), NSF, August 2009 – September 2012.

Microfluidic Microbial Sieve, Alfred P. Sloan Foundation, June 2007 – April 2010.

Indoor Air Workshop, Alfred P. Sloan Foundation, September 2009 – September 2010.

Controlling Cellular Fate with Micropatterning, Juvenille Diabetes Research Foundation, September 2009 –

September 2010.

John Hetling

NIH 1R21EY018200-01A2 Multi-Electrode Electroretinography: Toward Single-Flash Mapping of Retinal

Function, NIH, September 2008 – August 2010.

C6693R Transcorneal Electrical Stimulation Therapy for Retinal Disease, VA, July 2009 – June 2012.

Jie Liang

Discovery of GABAergic General Anesthetics with Focused Promiscuity, NIH, September 2009 – August 2011.

Elucidating of Biophysical and Molecular Mechanisms of Nocicetive Signaling in Response, ONR, October 2008

– September 2011.

Chicago Tri-Institutional Center for Chemical Methods and Library Development, Cheminformatics Core, NIH,

September 2008 – September 2013.

Collaborative Research: Monte Carlo Study of Pseudoknotted RNA Molecules: Motifs, Structure and Folding,

NSF, June 2008 – May 2012.

Research Grants

107

High-accuracy Models of Proteins from Remote Homology, NIH, September 2007 – August 2010.

Computational Assembly of Beta-barrel Membrane Proteins, NIH, March 2007 – February 2012.

Tools and Databases for Enzyme Function Prediction and Active Site Identification: Evolutionary Matching

Protein Surfaces, NSF, August 2007 – July 2009.

Chicago Tri-Institutional Center for Chemical Methods and Library Developmen Center, CBC, September 2008 –

September 2013.

Andreas Linninger

Animal Validation of a New Volume Sensor for Feedback Treatment of Hydrocephalus, NIH NINDS R-21, 2010

– 2012.

Interstitial Dynamics of the Poroelastic Brain and Cerebral Vasculature in Humans, NSF CBET, 2008 – 2011.

Collaborative Research: Mathematical Optimization for Targeted Macro-molecules Delivery to the Brain, NSF

CBET, 2007 – 2010.

Modeling, Monitoring and Control of Hydrocephalus, NIH-R21, 2007 – 2009.

New Design Methods and Algorithms for Highly Energy-efficient and Low-cost Multi-Component Distillation

Processes, DOE – Energy Efficiency and Renewable Energy, 2006 – 2011.

Novel Processes and Materials in Bioengineering and Biomedical Engineering, NSF-REU, 2008 – 2011.

Integrated Design and Control under Uncertainty, NSF CBET, 2006 – 2009.

Chicago Science Teacher Research (CSTR) Program, PI and Director, NSF-RET, 2007 – 2010.

Organization of FOCAPD Conference, NSF CBET, 2007 – 2009.

Chicago Science Teacher Research (CSTR) Program, NSF-RET, 2005 – 2009.

Hui Lu

Novel Therapeutic Drug Design for SARS, NIH, May 2005 – April 2010.

James Patton

Midwest Regional Traumatic Brain Injury Model System: Innovative Approaches to Improve Cognition, Function

and Community Living, Ed-NIDRR, October 2008 – September 2012.

Machines Assisting Recovery from Stroke: Development of a Robotic System with an Augmented Reality

Interface for Rehabilitation of Brain Injured Individuals, Ed-NIDRR, October 2007 – September 2012.

Engineering for Neurologic Rehabilitation, NIH NICHD (NCMRR), October 2005 – September 2010.

Error-enhanced Learning and Recovery in 2 and 3 Dimensions, NIH NINDS, November 2007 – October 2011.

Patrick Rousche

NanoNeuronics, NSF, August 2009 – July 2010.

Thomas Royston

The Audible Human Project, NIH, September 2007 – August 2010.

MRI: Acquisition of a Scanning Laser Doppler Vibrometer System, NSF, September 2008 – August 2009.

Nanopositioning Instrumentation Development for the APS I, DOE – ANL, February 2009 – January 2011.

MR Technologies for Monitoring Engineered Tissues, NIH, May 2009 – February 2013.

Nanopositioning Instrumentation Development for the APS II, DOE – ANL, September 2009 – August 2010.

Acquisition of a High Field Magnetic Resonance Imaging System for Bioimaging Technology Development,

NSF, September 2009 – September 2012.


108

Michael Stroscio

Devices with Optimum Performance, AFOSR, May 2008 – May 2011.

Integrated Nanoscale-Semiconductor-Biological Structures, ARO W911NF-08-1-0114, June 2008 – May 2012.

CB Detection using Nanostructures, Phase II SBIR Award, EPIR/Army CREL, October 2007 – September 2009.

Colliodal Quantum Dots for Detectors, DoE Nevada, Fall 2008 – present.

Christos Takoudis

MRI-R2: Acquisition of an Aberration-Corrected STEM for Multidisciplinary Research and Education at UIC,

NSF, January 2010 – December 2011.

MRI: Acquisition of a Brucker BioSpec 9.4/20USR MRI, NSF, August 2009 – August 2011.

REU Supplement for NIRT Active Multiferroic Nanostructures, NSF, March 2010 – March 2011.

NIRT: Active Multiferroic Nanostructures, NSF, June 2006 – June 2010.

REU Site in Novel Advanced Materials and Processing with Applications in Biomedical, Electrical and Chemical

Engineering, NSF, April 2008 – March 2011.

Equipment Supplement for NIRT Active Multiferroic Nanostructures, NSF, September 2007 – August 2010.

CHEMICAL ENGINEERING

Ying Liu

Preclinical Pharmacology and Toxicology Studies of Chemopreventive Agents Improvement of Bioavailability of

Several Anticancer Chemoprevention, NIH, June 2010 – February 2011.

Randall Meyer

REU: Development of Novel Heterogeneous Catalysts for NOx Storage Reduction (NSR), NSF/CBET, May 2010

– August 2010.

Collaborative Research: Development of Novel Heterogeneous Catalysts for NOx Storage Reduction (NSR),

NSF/CBET, September 2007 – August 2010.

IREE: Development of Novel Heterogeneous Catalysts for NOx Storage Reduction (NSR), NSF/CBET, April

2009 – September 2009.

GRS: Fundamental Studies of the Roles and Interactions of Disparate Metals in p-d Alloy Catalysts, NSF,

September 2009 – August 2010.

REU: Fundamental Studies of the Roles and Interactions of Disparate Metals in p-d Alloy Catalysts, NSF, May

2010 – August 2010.

CAREER: Fundamental Studies of the Roles and Interactions of Disparate Metals in p-d Alloy Catalysts, NSF,


MRI- R2: Acquisition of an Aberration-Corrected Scanning Transmission Electron Microscope for

Multidisciplinary Research and Education at UIC, NSF, February 2010 – January 2012.

Sohail Murad

GILEE: Establishing a Graduate Interdisciplinary Liberal Engineering Ethics Curriculum, NSF, August 2008 –

August 2011.

Observation and Simulations of Transport of Molecules and Ions across Model Membranes, DOE, September

2008 – August 2011.

Molecular Modeling of Ion Transport and Separation in Nanochannels, NSF, September 2007 – August 2011.

GOALI: Molecular Dynamics Simulations of Membrane Assisted Phase Equilibria, NSF, May 2003 – April 2011.

Research Grants

109

Solubility of Gases, UOP LLC, August 2008 – August 2010.

Geothermal System for Kirie Reclamation Plant, MWDGC, June 2010 – June 2011.

Ludwig Nitsche

Thermochemical Cycles, Argonne National Laboratory, June 2010 – July 2010.

John Regalbuto

Non-Platinum Bimetallic Cathode Electrocatalysts, DOE, subcontracted from Argonne, February 2007 – January

2011.

Non-Platinum Bimetallic Cathode Electrocatalysts, OVCR match to DOE grant, February 2007 – January 2011.

IPA-Regalbuto to NSF, NSF, September 2009 – September 2010.

The Development of Bimetallic Catalysts, Chevron-Phillips, June 2010 – December 2010.

Development of Catalysts for Propane Oxidation, UOP, April 2010 – October 2010.

Christos Takoudis

MRI-R2: Acquisition of an Aberration-Corrected STEM for Multidisciplinary Research and Education at UIC,

NSF, January 2010 – December 2011.

MRI: Acquisition of a Brucker BioSpec 9.4/20USR MRI, NSF, August 2009 – August 2011.

REU Supplement for NIRT Active Multiferroic Nanostructures, NSF, March 2010 – March 2011.

NIRT: Active Multiferroic Nanostructures, NSF, June 2006 – June 2010.

REU Site in Novel Advanced Materials and Processing with Applications in Biomedical, Electrical and Chemical

Engineering, NSF, April 2008 – March 2011.

Equipment Supplement for NIRT Active Multiferroic Nanostructures, NSF, September 2007 – August 2010.

Lewis Wedgewood

GILEE: Establishing a Graduate Interdisciplinary Liberal Engineering Ethics Curriculum, NSF, August 2008 –

August 2011.

Experimental and Modeling Activities for Several Promising Alternate Thermochemical Cycles – CuCl, Argonne

National Laboratories, May 2010 – July 2010.

CIVIL AND MATERIALS ENGINEERING

Farhad Ansari

Fiber Sensing System for Civil Infrastructure Health Monitoring, National Institute of Standards and Technology

(NIST), February 2009 – January 2012.

PIRE: US-Asia Network of Centers for Intelligent Structural Health Management of Safety-Critical Structures, National

Science Foundation (NSF), September 2007 – September 2012.

MRI: Acquisition of a Scanning Laser Doppler Vibrometer System, NSF, August 2008 – July 2010.

Implementation of Cost Effective Scour Sensor – Phase 2, Illinois Department of Transportation, February 2009 –

June 2010.

Christophe Darnault

Surfactant-Facilitated Transport of Cryptosporidium Parvum in Soil, USDA-CSREES-NRI, July 2008 – July

2011.


110

Craig Foster

U.S.-India Planning Visit: Experimental and Numerical Analysis of Compressed Earth Block Structures, NSF,

October 2009 – October 2010.

J. Ernesto Indacochea

Thermocompression Bonding for Photodetector Sealing, DOE/ANL, May 2010 – May 2011.

Eduard Karpov

Concurrent Multiphysics Modeling of Bio-Inspired Functional Materials, NSF, May 2009 – April 2012.

Amid Khodadoust

Biodegradation of PCBs in Contaminated Sediments using Iron, U.S. EPA, October 2008 – September 2009.

Remediation of Contaminated Subsurface using Nanoscale Iron Particles, NSF, August 2007 – August 2010.

Jie Lin

The IntelliDrive Database Management System, NSF, January 2010 – December 2010.

Strategic Highway Research Program 2 C10: Partnership to Develop an Integrated, Advanced Travel Demand

Model and Fine-Grained, Time-Sensitive Network, TRB (subcontract from Cambridge Systematics), September

2009 – March 2012.

Environmental and Energy Benefits of Freight Delivery Consolidation in Urban Areas, National Center for

Freight and Infrastructure Research and Education (CFIRE) – USDOT UTC, federal flow-thru money, January –

December 2010.

Mississippi Valley Commodity Flow Project, Mississippi Valley Freight Coalition (MVFC), August 2009 –

February 2011.

Abolfazl Mohammadian

Transferability of Travel Survey Data and Household Travel Data Simulation Tool, Federal Highway

Administration (FHWA), September 2007 – August 2009.

IGERT Graduate Program in Computational Transportation Science, NSF, June 2006 – May 2011.

Phase II- Population Synthesis in Support of Regional Travel Demand Modeling, Chicago Metropolitan Agency

for Planning (CMAP), July 2008 – August 2009.

Trip Chaining Behavior of Senior Travelers: Applications to Public Transportation Planning, IDOT- Illinois

Center for Transportation (ICT), July 2008 – December 2010.

Partnership under National Center for Freight and Infrastructure Research and Education (CFIRE), University of

Wisconsin Madison, August 2007 – April 2012.

Development of Freight Planning Support System for Northeastern Illinois, IDOT, August 2007 – August 2010.

Goods Movement Study in Illinois: Applications to Freight Transportation and Logistics, IDOT- Illinois Center

for Transportation (ICT), January 2010 – August 2011.

Didem Ozevin

Self Powered Wireless Sensor Network for Structural Health Prognosis, Mistras Group, May 2010 – January

2011.

Krishna Reddy

IGERT: Ecology, Management and Restoration of Integrated Human/Natural Landscapes, National Science

Foundation, June 2006 – June 2011.

Remediation of Contaminated Subsurface using Nanoscale Iron Particles, National Science Foundation, August

2007 – July 2010.

Research Grants

111

Geoenvironmental Characterization of Contaminated Soils, Hi-Tech Environmental Inc., Chicago, January 2010

– January 2013.

Karl Rockne

Collaborative Research: Debromination of PBDEs in Aquatic Sediments, National Science Foundation (NSF),

April 2008 – March 2011.

CAREER: Active Capping for Contaminated Sediment Remediation, NSF, February 2004 – January 2010.

Integrative Graduate Education and Research Traineeship (IGERT): Ecology, Management and Restoration of

Integrated Human/Natural Landscapes, NSF, July 2006 – June 2011.

MRI: Acquisition of a High Field Magnetic Resonance Imaging System for Science and Engineering Research,

NSF, September 2009 – August 2012.

Sediment Ebullition and Flux Studies at Bubbly Creek, Chicago, United States Army Corps of Engineers, August

2009 – June 2010.

Source Apportionment of Polycyclic Aromatic Hydrocarbons in Illinois River Sediments, IL Sustainable

Technology Center, March 2010 – July 2010.

COMPUTER SCIENCE

Tanya Berger-Wolf

CAREER: Computational Tools for Population Biology, NSF, May 2008 – April 2013.

III-CXT: Collaborative Research: Computational Methods for Understanding Social Interactions in Animal

Populations, NSF, August 2007 – July 2010.

III-CXT: Collaborative Research: Computational Methods for Understanding Social Interactions in Animal

Populations, REU Supplement, NSF, June 2009 – June 2011.

Collaborative Research: SEI: Computational Methods for Kinship Reconstruction, NSF, July 2006 – June 2010.

Ugo Buy

Planning Grant: I/UCRC for Security and Software Engineering, NSF, March 2010 – February 2011.

Isabel Cruz

Collaborative Research: Information Integration for Locating and Querying Geospatial Data, NSF, July 2005 –

June 2011.

III-COR-Small: Efficient Matching for Large Real-World Schemas and Ontologies, NSF, August 2008 – August

2011.

III-COR-Small: Efficient Matching for Large Real-World Schemas and Ontologies (REU Supplement), NSF, June

2009 – August 2011.

Collaborative Research: Workshop on Confidential Data Collection for Innovation Analysis in Organizations,


IGERT Graduate Program in Computational Transportation Science, NSF, 2006 – 2011.

Bhaskar DasGupta

CAREER: Efficient Algorithms for Computational Problems in Bioinformatics via Combinatorial and Geometric

Techniques, NSF, April 2004 – September 2010.

Bioinformatics Tools Enabling Large - Scale DNA Barcoding, NSF, July – June 2010.

Collaborative Research: SEI: Computational Methods for Kinship Reconstruction, NSF, July 2006 – June 2010.


112

Barbara Di Eugenio

Extending and Validating a Computational Model of Effective Tutoring, ONR, March 2007 – July 2009.

Collaborative Research: KSC-PaL, a Collaborative Dialogue Agent to Model Peer-peer Learning, NSF, October

2005 – August 2009.

HCC: Medium: Collaborative Research: Effective Communication with Robotic Assistants for the Elderly:

Integrating Speech, Vision and Haptics, NSF, July 2009 – June 2012.

Intelligent Aggregation for Mobile Search, Motorola Inc., September 2007 – May 2011.

Jakob Eriksson

Evaluation of Traffic Flow Monitoring Technologies: Cicero-Midway Smart Corridor Case Study, IDOT,

January 2010 – December 2010.

Piotr Gmytrasiewicz

Interactive Decision Making, NSF, August 2008 – August 2010.

Decision-Theoretic Planning for Autonomous Interactive Systems, ONR, March 2009 – March 2011.

Andrew Johnson

MRI: Development of Instrumentation for Lambda Vision, NSF, September 2004 – August 2009.

NCLT: A Center to Develop Nanoscale Science and Engineering Educators with Leadership Capabilities, NSF,

October 2004 – August 2009.

Toward Likelike Computer Interfaces that Learn, NSF, January 2007 – January 2011.

Future Earth Initiative, NSF, March 2008 – December 2011.

Environmentally Non-disturbing Under-ice Robotic Antarctic Explorer (ENDURANCE), NASA, May 2007 –

June 2011.

MRI: Development of OmegaTable and OmegaDesk - Instruments for Interactive Visual Data Exploration and

Collaboration, NSF, September 2008 – August 2011.

STCI: OptiPlanet Cyber-Mashup: Persistent Visualization and Collaboration Services for Global

Cyberinfrastructure, NSF, August 2009 – August 2012.

Center for End-of-Life Transition Research (CEoLTR) Supplement, National Institute for Nursing Research,

September 2009 – September 2011.

MRI-R2: Development of the Next-Generation CAVE Virtual Environment (NG-CAVE), NSF, May 2010 – April

2013.

Disaster Preparedness Training - An Online Gaming Demonstration for Scenario-based Training of Middle

School Aged Children, State of Illinois, May 2009 – May 2010.

Robert Kenyon

Rehabilitation Robotics and Telemanipulation Systems: Machines Aiding Recovery in Stroke, NIDRR, November

2007 – October 2012.

Error-enhanced Learning and Recovery in 2 and 3 Dimensions, NIH, July 2006 – June 2010.

Ajay Kshemkalyani

NeTS: Large: Collaborative Research: Context-Driven Management of Heterogeneous Sensor Networks, NSF,


Jason Leigh

Disaster Preparedness Training – An Online Demonstration for Scenario- based Training of Middle School Aged

Children (UIUC subaward), State of Illinois, May 2009 – May 2010.

Research Grants

113

MRI: Development of OmegaTable and OmegaDesk - Instruments for Interactive Visual Data Exploration and

Collaboration, NSF, September 2008 – August 2011.

Future Earth Initiative, NSF Subcontract, March 2008 – February 2010.

CoreWall Supplement, NSF, September 2008 – August 2010.

Laser Emitting Diode for Stabilization of Cutaneous Battlefield Wounds for Air Evacuation and Transport, Air

Force CADRE Award Prime, September 2009 – September 2011.

Research, Analysis and Databasing of Emerging High Power Directed Energy Technologies Marketed to the

Clinical and Research Communities, Air Force CADRE Award Prime, September 2009 – September 2014.

Collaborative Research: Towards Lifelike Computer Interfaces that Learn, NSF, January 2007 – December 2009.

SAGE Visualization Research, KAUST Subcontract, December 2008 – November 2011.

Bing Liu

Twitter Sentiment Analysis on Google, Bing, Yahoo, Microsoft, December 2009 – December 2010.

Analyzing and Detecting Fake Reviews, Google, May 2010 – May 2011.

Leilah Lyons

Collaborative Research: BPC-A: Improving Metropolitan Participation to Accelerate Computing Throughput and

Success, NSF, December 2008 – May 2010.

Thomas Moher

Supporting Whole-class Science Investigations with Spatial Simulations, NSF, January 2008 – December 2010.

Nanoscience Center for Learning and Teaching, Northwestern University (NSF Pass-thru), October 2008 –

September 2009.

ICLS 2010 Doctoral Consortium and Early Career Workshop, NSF, January 2010 – December 2010.

Peter Nelson

UIC CS Scholars, NSF, March 2009 – May 2013.

IGERT: Graduate Program in Computational Transportation Science, NSF, June 2006 – August 2011.

ADVANCE Institutional Transformation Award: Women in Science and Engineering System Transformation

(WISEST), NSF, August 2006 – July 2011.

Dale Reed

Improving Metropolitan Participation to Accelerate Collaborative Computing Throughput and Success

(IMPACTS), NSF, December 2008 – May 2010.

UIC CS Scholars, NSF, March 2009 – May 2013.

Sol Shatz

Model-Based Techniques and Tools to Support Analysis and Simulation of UML Diagrams, ARO, January 2006

– December 2009.

Collaborative Research: CT-ISG: Agent-Based Trust Management for Trust Re-Evaluation in Online Auctions,

NSF, August 2007 – July 2011.

Robert Sloan

Privacy with Respect to Private Corporation in the 21st Century: Legal and Computer Security Issues, NSF, July

2009 – August 2011.

Theoretical Foundations of Evolving Knowledge Bases, NSF, September 2009 – August 2012.

S-STEM: UIC CS Scholars, NSF, April 2009 – May 2014.


114

Collaborative Research: Broadening Participation in Computing Alliance Planning Grant, NSF, January 2009 –

June 2010.


Jon Solworth

Homeland Security-STEM Fellowship, DHS, September 2009 – August 2010.

CRI: The SecLab at UIC, NSF, April 2006 – April 2010.

TC: Medium: The Impact of Operating Systems on Application Robustness, NSF, March 2010 – March 2013.

Research Experiences for Undergraduates, NSF, May 2010 – May 2011.

V. N. Venkatakrishnan

TC: Small: Keeping Jack in the Box: Confining the Role of Untrusted Inputs in Web Scenarios, NSF, September

2009 – August 2012.

CAREER: A Framework for Preventing Web based Attacks, NSF, September 2009 – August 2014.

A U.S. France Symposium on Young Engineering Scientists, NSF, September 2009 – August 2010.

HS-STEM Fellowships, Dept. of Homeland Security, July 2009 – June 2010.

A IUCRC on Security & Software Engineering, NSF, January 2010 – December 2010.

Ouri Wolfson

IGERT: Graduate Program in Computational Transportation Science, NSF, June 2006 – May 2011.

SGER: Feasibility of Decentralized Search in Mobile P2P Databases, NSF, September 2008 – February 2010.

The IntelliDrive Database Management System, NSF, September 2009 – August 2010.

ITR Collaborative Research: Context-Aware Computing with Applications to Public Health Management, NSF,


Clement Yu

Handling of Negation and Temporal Operators, NSF, September 2008 – August 2010.

ELECTRICAL AND COMPUTER ENGINEERING

Loay Abusalah

IPD, Dell, August 2010 – August 2011.

ITCI, CISCO/ Apple, January 2010 – August 2010.

Rashid Ansari

ARRA Supplement for NIH Center for End-of-Life Transition Research (CEoLTR), NIH, September 2009 –

August 2011.

NeTS Large: Context-Driven Management of Heterogeneous Sensor Networks, NSF, August 2009 – August

2014.

Jezekiel Ben-Arie

HCC: Medium: Collaborative Research: Effective Communication with Robotic Assistants for the Elderly:

Integrating Speech, Vision and Haptics, NSF, 2009 – 2012.

IGERT: Graduate Program in Computerized Transportation, NSF, 2006 – 2011.

Research Grants

115

Shantanu Dutt

Algorithms for Simultaneous Exploration of Multi-Domain Transforms for Design Closure in Emerging

Technologies, NSF, August 2008 – July 2011.

Mitra Dutta



Rapid Nanosensors for Biological Warfare Agents in Buildings and HVAC Systems Detection using

Nanostructures, Phase II SBIR Award, EPIR/Army CREL, October 2007 – September 2009.

ADVANCE Institutional Transformation Award: Women in Science and Engineering System Transformation

(WISEST), NSF, August 2006 – July 2011.

CADRE: Aspect 7: Remote Chemical Detection, AFOSG, October 2009 – September 2011.

Eloret: Energy Harvesting using ZnO nanowires, Phase I SBIR Award, DARPA, February 2010 – August 2010.

PbSe Nanocrystals for Short Wave Infra Red Detector (SWIR) applications, Northrop Grumman Corporation,

January 2009 – December 2009.

Danilo Erricolo

MURI: Adaptive Waveform Design for Full Spectral Dominance, Air Force Office of Scientific Research, July

2005 – December 2010.

Alan Feinerman

Active Tricorder, AF/SG, October 2009 – December 2011.

Continued Development of the AF/SGR "Tricorder" and LEP (Nonlinear Optics) Programs for Homeland

Security, Military Public Health, and Medical Operations, AF/SG, October 2007 – September 2011.

Ethics in the Details, NSF, September 2006 – August 2009.

SBIR Consulting for Thermal Conservation Technologies, IL DCEO, 5/13/10 – 6/9/10.

Equipment Access, Advanced Diamond Technology, July 2009 – June 2010.

Siddhartha Ghosh

NIRT – NSF- Active Multiferroic Nanostructures, NSF, July 2006 – June 2011.

Multiferroic Microwave Devices, ONR, November 2008 – October 2011.

Ashfaq Khokhar

International Supplement- MotionSearch: Motion Trajectory-Based Object Activity Retrieval and Recognition

from Video and Sensor Databases, NSF, 2007 – 2010.

SGER: Reliable Information Dissemination and Resource Discovery in Mobile Environments, NSF, 2007 – 2009.

MotionSearch: Motion Trajectory-Based Object Activity Retrieval and Recognition from Video and Sensor

Databases, NSF, 2006 – 2010.

REU Supplement - Motion Trajectory-Based Object Activity Retrieval and Recognition from Video and Sensor

Databases, NSF, 2008 – 2010.

NeTS Large: Context Driven Management of Evolving Data in Mobility Oriented Sensornet Applications (in

collaboration with P. Scheurman from Northwestern Univ.), NSF, 2009-2014.

Sharad Laxpati

Assuring STEM Credential Expansion through Nurturing Diversity (ASCEND), NSF, January 2006 – December

2010.


116

Technical Assistance on Coherent Oscillator Project, Northrop Grumman (thru‘ Tech Center), May 2008 –

September 2009.

Sudip Mazumder

Universal, Programmable and Affordable Power Technologies for Underwater Vehicles – Phase II, NR via

Intelligent Automation Inc., 2010 – 2010.

Universal, Programmable and Affordable Power Technologies for Underwater Vehicles – Phase I, ONR via

Intelligent Automation Inc., 2010 – 2010.

Optically-Controlled Wide-Bandgap Power Electronics, ONR, 2008 – 2010.

Photonically-Triggered Sic-Gan and Superjunction Based High-Gain and High-Voltage Bipolar Power Transistor,

NSF, 2008 – 2011.

Hybrid-Modulation Based High Power High Frequency and Scalable Sic Polyphase Fuel Cell Inverter for Power

Quality and Distributed Generation, NSF, 2007 – 2010.

Vitali Metlushko

The Challenge of Integrating Magnetic Nanostructures into Functional 3-D Devices, Grant # ECCS-0823813,

NSF, August 2008 – July 2011.

Role of Surface Roughness in Regulating Tumor Cell Behavior 1R01CA113975-01A2, NIH, September 2008 –

September 2013.

Roland Priemer

Development of an Objective Measure of Infant Crying, Natl Inst Child Health and Human Development,

4/1/07-3/31/09, extended through 3/31/10.

Michael Stroscio



CB Detection using Nanostructures, Phase II SBIR Award, EPIR/Army CREL, October 2007 – September 2009.

Colliodal Quantum Dots for Detectors, DoE Nevada , Fall 2008 – present.

Daniela Tuninetti

Etiquette for Collaborative Communications and Networking, NSF, January 2007 – December 2011.

P. L. E. Uslenghi

Electromagnetic Signature of Edge-structures for Unexploded Ordnance Detection, NATO, March 2007 – July

2009.

Kaijie Wu

Cyber System: Research: Security Aware Design for Test Methods, NSF-ECCS, September 2006 – August 2010.

CT-ISG: Collaborative Research: Fault Tolerance in Crypto Hardware via Dynamic Assertion Checking, NSF-

CNS, September 2008 – August 2011.

Yingwei Yao

Center for End-of-Life Transition Research (CEoLTR), NIH, September 2009 – August 2011.

Milos Žefran

Haptic Playback: A New Approach to Teaching of Sensorimotor Skills, NSF, August 2006 – August 2010.

Effective Communication with Robotic Assistants for the Elderly: Integrating Speech, Vision and Haptics, NSF,

July 2009 – July 2012.

Research Grants

117

NeTS: Large:Collaborative Research: Context-Driven Management of Heterogeneous Sensor Networks, NSF,

August 2009 – August 2013.

Zhichun Zhu

Collaborative Research: Memory Access Throttling for Highly Multi-Threaded Processors, NSF, May 2006 –

April 2010.

Collaborative Research: CSR – PSCE, SM: Memory Thermal Management for Multi-Core Systems, NSF,


REU Supplemental Support for Collaborative Research: CSR – PSCE, SM: Memory Thermal Management for

Multi-Core Systems, NSF, September 2009 – August 2011.

CAREER: Scalable and Universal Architecture for Next-Generation Memory Systems, NSF, June 2010 – May

2015.

MECHANICAL AND INDUSTRIAL ENGINEERING

Suresh Aggarwal

Quantifying the Effects of Fluid Flow Characteristics Near the Nozzle Tip on Diesel Engine Particulate

Emissions, DOE/ANL, November 2005 – December 2010.

Collaborative Research on Diesel Engine Combustion and Fuel Chemistry, ANL, July 2008 – December 2009.

Modeling the Effects of using Low Cetane Fuel in a Diesel Engine, DOE/ANL, June 2009 – May 2012.

Farid Amirouche

Micropump, Baxter, July 2009 – May 2010.

Prashant Banerjee

Spinal Surgical Simulation Translational Research Using Collocated Virtual Reality and Haptics, NIH, National

Institute of Biomedical Imaging and Bioengineering (NIBIB) grant 1R21EB007650-01A1, 2008 – 2010.

SENSIMMER Virtual Phaco Trainer for Cataract Surgery, NIH, National Eye Institute (NEI) STTR Phase 1 grant

1R41EY018965-01 to ImmersiveTouch, Inc., 2008 – 2011.

Practice Makes Perfect: Does Practice on a Virtual Reality/haptics Simulator Improve Residents' Ability to

Perform a Ventriculostomy?, AHRQ grant 1R03HS017361-01, 2008 – 2010.

Virtual and Haptic Prototyping at Rehabilitation Engineering Research Center on Recreational Technologies and

Exercise Physiology Benefiting Persons with Disabilities, DED H133E070029, National Institute on Disability

and Rehabilitation Research (NIDRR), 2007 – 2012.

Kenneth Brezinsky

Fundamental Understanding of Propellant/Nozzle Interaction to Mitigate Erosion for Very High Pressure Missile

Propellant Applications, MURI , Office of Naval Research (ONR), July 2004 – May 2010.

Biologically Derived Diesel Fuels and NO, NSF, April 2006 – August 2010.

NSF IREE: Collaborative Single Pulse Shock Tube and Jet Stirred Reactor Studies on NO Formation from

Biologically Derived Diesel Fuels, NSF Supplement, October 2006 – August 2010.

Aromatic Radicals-Acetylene Particulate Matter Chemistry, DOE-SERDP, July 2007 – June 2011.

Generation of Comprehensive Surrogate Kinetic Models and Validation Databases for Simulating Large

Molecular Weight Hydrocarbon Fuels, MURI, Air Force Office of Scientific Research (AFOSR), July 2007 –

June 2012.

Novel Materials and Processing in Chemical and Biomedical Engineering – Research Experience for

Undergraduates, NSF, April 2005 – April 2011.


118

Elisa Budyn

Concurrent Multi-physics Modelling of Bio-Inspired Functional Materials, NSF, May 2009 – April 2012.

Modeling of Crack Detection in HUMS System, Air Force, January 2010 – May 2010.

Houshang Darabi

Diagnosis and Maintenance of Relay Ladder Logic Programs and PLC Ladder Logic Diagrams using Artificial

Neural Networks, NSF, September 2005 – September 2010.

David He

CBMT TAJI - Bearing Damage Quantification and Remaining Useful Life Modeling, Center for Rotorcraft

Innovation (CRI)/NRTC/US Army, March 2009 – March 2011.

Bearing Damage Condition Indicator Correlation and Life Analysis, Center for Rotorcraft Innovation

(CRI)/NRTC/US Army, January 2008 – July 2009.

Quantification of Acoustic Emission Signals for Gear Fault Diagnostics of Split-Torque Gear Transmission

Systems, Goodrich Sensors and Integrated Systems, September 2009 – December 2010.

Gear Fault Diagnostics for the Split Torque Transmission System Using Acoustic Emission and Vibration Signals,

Goodrich Sensors and Integrated Systems, June 2009 – September 2009.

Data Mining for Condition-based Maintenance, Goodrich Sensors and Integrated Systems, June 2008 – July

2009.

Farzad Mashayek

Plasma Deposition of Thin Films on Nanowires and Nanoparticles, NSF, May 2007 – April 2011.

Flame Anchoring in Dump Combustors with Counter-current Shear Flow, NASA, July 2006 – July 2010.

Experimental and Computational Studies to Advance Operability and Performance of Combustion Systems

Adopting Fluidic Control, ONR, February 2008 – January 2013.

MRI-R2: Acquisition of an Aberration-Corrected Scanning Transmission Electron Microscope for

Multidisciplinary Research and Education at UIC, NSF, March 2010 – February 2011.

Performance Testing of Electrostatic Atomizers, Enabling Energy Systems, August 2008 – August 2010.

Design, Testing, and Characterization of Spraying Systems, Spraying Systems Co., December 2009 – December

2010.

Constantine Megaridis

NIRT: Nanotube-Based Nanofluidic Devices and Fundamental Fluid Studies at the Nanoscale, NSF (via Drexel

Univ.), September 2006 – August 2010.

MRI-R2: Acquisition of an Aberration-Corrected Scanning Transmission Electron Microscope for

Multidisciplinary Research and Education at UIC, NSF, March 2010 – March 2012.

Filled Carbon Nanotubes: Superior Latent Heat Storage Enhancers, Department of Energy (via Argonne National

Laboratory), February 2010 – June 2011.

Low-cost, Large-area, Biocompatible Polymer Nanocomposite Films with Tunable Adhesion Phase I, Philips,

September 2008 – May 2010.

A Rheological Study of Wallboard Slurry Directed toward Reliable Flow Prediction and Reduction of Slurry

Water Content, USG, October 2009 – December 2010.

W. J. Minkowycz

Gifts from Various Donors, Elsevier, July 2009 – June 2010.

Research Grants

119

Thomas Royston

The Audible Human Project, NIH, September 2007 – August 2010.


Nanopositioning Instrumentation Development for the APS I, DOE – ANL, February 2009 – January 2011.

MR Technologies for Monitoring Engineered Tissues, NIH, May 2009 – February 2013.

Nanopositioning Instrumentation Development for the APS II, DOE – ANL, September 2009 – August 2010.

Acquisition of a High Field Magnetic Resonance Imaging System for Bioimaging Technology Development,


Laxman Saggere

CAREER: A Biomimetic Microsystems Technology towards a Novel Retinal Prosthesis, NSF, March 2005 –

February 2011.


CAREER: GRS Supplement, NSF, August 2009 – February 2011.

Chipscale Multifinger Coordinated Manipulation Methodology for Nanomanufacturing, NSF, May 2008 – April

2011.

EFRI-BSBA: Nanoactuation and Sensing of Neural Function for Engineering Future Biomimetic Retinal Implants

and Therapies, NSF, August 2009 – July 2013.

Michael Scott

Interactive Decision Making, US Dept. of Ed./OSERS/NIDRR, October 2007 – September 2012.


Interactive Decision Making, Cobra Electronics, August 2008 – August 2009.

Collabarative Research: CSR-EHS: Property Based Development of Reactive and Embedded Systems, Motorola,

Inc., August 2008 – August 2009.

Dell Electronics: Interdisciplinary Product Development Course, Dell Electronics, August 2009 – August 2010.

Ahmed Shabana

Integration of Large Deformation Finite Element Formulations in Flexible Multibody System Algorithms, ARO,

July 2006 – July 2009, no-cost extension through July, 2010.

Enhancement and Development of Railroad Vehicle Dynamics Simulation Capabilities, FRA, April 2006 – April

2011.

Integrating Computer Aided Design and Flexible Multi-body Codes, NSF, August 2008 – July 2011.


Enhancements and Developments of Train Longitudinal Dynamics Model, FRA, August 2009 –

December 2012.

Gift (Dynamic, Vibration and Stress Analysis of Transfer Feeders of Large Size Press Machines), Komatsu, Ltd.,

August 2009 – March 2011.

William M. Worek

Industrial Assessment Center, DOE, October 2009 – September 2010.

Congressional Earmark – Industrial Technologies Program, DOE, received October 1, 2009 for 2009-2010.


120

Alexander Yarin

Nanotube-Based Nanofluidic Devices and Fundamental Fluid Studies at the Nanoscale, National Science

Foundation through grant NSF-NIRT CTS 0609062, 2006 – 2010.

Filled Carbon Nanotubes: Superior Latent Heat Storage Enhancers, DOE, 2009 – 2010.

Electrically-driven Dielectric Fluid Flows with Phase Change in Micro- and Nano-scales, NSF, 2010 – 2013.

Rheology of Slurries, United States Gypsum, 2009 – 2010.

Structure-Property Process Relationships for Meltblowing, NCRC, 2009 – 2012.

121

PUBLICATIONS This chapter reports on a sample of books (authored or edited) and book chapters, journal articles, and conference

publications that appeared or were in press during the period July 1, 2009 to June 30, 2010.

BOOK AND CHAPTER PUBLICATIONS

BIOENGINEERING

Jie Liang

J. Liang, S. Kachalo, X. Li, Z. Ouyang, Y.-Y. Tseng and J. Zhang, ―Geometric Structures of Proteins for

Understanding Folding, Discriminating Natives and Predicting Biochemical Functions,‖ in The Word is a Jigsaw,

R. V. D. Weygaert, Editor, Springer, 2009.

James Lin

J. C. Lin, ed., Advances in Electromagnetic Fields in Living Systems, Springer, New York, Vol. 5, 2009.

P. Vecchia, R. Matthes, G. Ziegelberger, J. Lin, R. Saunders and A. Swerdlow, ―Exposure to High Frequency

Electromagnetic Fields, Biological Effects and Health Consequences (100 kHz-300 GHz),‖ International

Commission on Nonionizing Radiation Protection, ICNIRP-16, Munich, Germany, 2009.

J. C. Lin, ―Carcinogenic Effect of Wireless Communication Radiation in Rodents,‖ in Advances in

Electromagnetic Fields in Living Systems, Springer, New York, Vol. 5, pp. 35-82, 2009.

P. Bernardi, M. Cavagnaro, S. Pisa , E. Piuzzi and J. C. Lin, ―Dosimetry and Temperature Aspects of Mobile

Phone Exposures,‖ in Advances in Electromagnetic Fields in Living Systems, Springer, New York, Vol. 5, pp.

221-276, 2009.

Andreas Linninger

A. Linninger and M. El-Halwagi, ―Design for Energy and the Environment,‖ in Selected papers from the 7th

International Conference on the Foundations of Computer-Aided Process Design, Special Issue of Computers and

Chemical Engineering, Vol. 34, Issue 9, Elsevier, In press.

G. Ali Mansoori

G. A. Mansoori, ―Phase Behavior in Petroleum Fluids,‖ Petroleum Engineering – Downstream section of 33

pages, in Encyclopedia of Life Support Systems, UNESCO, UN, Paris, France 2009.

Michael Stroscio

M. A. Stroscio and M. Dutta, ―Integration of Manmade Nanostructures with Biological Systems: Diagnosis of

Cancer Using Semiconductor-Quantum-Dot—Biomolecule Complexes,‖ in Nanomedicine Design of Particles,

Sensors, Motors, Implants, Robots, and Devices, M . J. Schulz, V. N. Shanov and Y. Yun, Editors, Artec House

Publisher, ISBN-13: 978-1-59693-279-1, Chapter 17, pp. 441-454, 2009.


Andreas Linninger

A. Linninger and M. El-Halwagi, ―Design for Energy and the Environment,‖ in Selected papers from the 7th

International Conference on the Foundations of Computer-Aided Process Design, Special Issue of Computers and

Chemical Engineering, Vol. 34, Issue 9, Elsevier, In press.

G. Ali Mansoori

G. A. Mansoori, ―Phase Behavior in Petroleum Fluids,‖ Petroleum Engineering – Downstream section of 33

pages, in Encyclopedia of Life Support Systems, UNESCO, UN, Paris, France 2009.


122

Randall Meyer

R. Meyer, Y. Lei, S. Lee and S. Vajda, ―Catalysis by Supported Size Selected Clusters,‖

in Model Systems in Catalysis: From Single Crystals and Size-Selected Clusters to Supported Enzyme Mimics,

Rob Rioux, Editor, Springer, pp. 345-365, 2009.

Sohail Murad

S. Murad, ―Multiscale Methodology to Approach Nanoscale Thermal Transport,‖ in Trends in Computational

Nanomechanics: Transcending Time and Space, T. Dumitrica, Editor, Springer, Heidelberg, Chapter 5, pp. 135-

150, 2010.

John Regalbuto

J. R. Regalbuto, ―The Preparation of Silica Supported Metal Catalysts,‖ in Silica and Silicates in Modern

Catalysis, I. Halazs, Editor, Research Signpost, 2010.


Farhad Ansari

V. M. Karbhari and F. Ansari, eds., Structural Health Monitoring of Civil Infrastructure Systems, CRC Press and

Woodhead Publishing, Ltd., 552 pp., 2009.

F. Ansari, ―Fiber Optic Sensors for Structural Health Monitoring of Civil Infrastructure Systems,‖ in Structural

Health Monitoring of Civil Infrastructure Systems, V. M. Karbhari and F. Ansari, Editors, CRC Press and

Woodhead Publishing, pp. 260-282, 2009.

Mohsen Issa

N. J. Everard and M. A. Issa, ―Chapter 3 Short Column Design,‖ in ACI SP-17, M. Saatcioglu, Editor, pp. 59-

166, 2009.

Edward Karpov

E. G. Karpov, ―Periodic Lattice Structures: Discrete Functional Solutions and Probabilistic Methods of Statics,‖

Lambert Academic Publishing, 2009.

W. K. Liu, E. G. Karpov and Y. Liu, ―Computational Nanomechanics,‖ in Handbook of Nanophysics, Klaus D.

Sattler, Editor, Taylor & Francis, 2010.

Krishna Reddy

K. R. Reddy and C. Cameselle, ―Electrochemical Remediation Technologies for Polluted Soils, Sediments and

Groundwater,‖ John Wiley & Sons, Inc., Hoboken, New Jersey (ISBN: 978-0-470-38343-8), 760pp., 2009.

K. R. Reddy and C. Cameselle, ―Overview of Electrochemical Remediation Technologies,‖ Chapter 1 in

Electrochemical Remediation Technologies for Polluted Soils, Sediments and Groundwater, John Wiley & Sons,

Inc., (ISBN: 0-470-38343-7), 2009.

A. Oonnittan, M. Sillanpaa, C. Cameselle and K. R. Reddy, ―Field Applications of Electrokinetic Remediation of

Soils Contaminated with Heavy Metals,‖ Chapter 29 in Electrochemical Remediation Technologies for Polluted

Soils, Sediments and Groundwater, John Wiley & Sons, Inc., (ISBN: 0-470-38343-7), 2009.

COMPUTER SCIENCE

Tanya Berger-Wolf

C. Tantipathananandh, T. Y. Berger-Wolf and D. Kempe, ―Community Identification in Dynamic Social

Networks,‖ in Link Mining: Models, Algorithms and Applications, Springer, 2010.

Book and Chapter Publications

123

Isabel Cruz

I. F. Cruz and H. Xiao, ―Ontology Driven Data Integration in Heterogeneous Networks,‖ in Complex Systems in

Knowledge-Based Environments, A. Tolk and L. Jain, Editors, pp. 75-97, Springer, 2009.

Bhaskar DasGupta

B. DasGupta and J. Liang, eds., Models and Algorithms for Biomolecules and Molecular Networks, John Wiley &

Sons, Inc., In press, 2010.

B. DasGupta, M.-Y. Kao and I. Mandoiu, ―Algorithmic Issues in DNA Barcoding Problems,‖ in Algorithms in

Computational Molecular Biology: Techniques, Approaches and Applications, M. Elloumi and A. Zomaya,

Editors, John Wiley & Sons, Inc., In press for 2011.

B. DasGupta, P. Vera-Licona and E. Sontag, ―Reverse Engineering of Molecular Networks from a Common

Combinatorial Approach,‖ in Algorithms in Computational Molecular Biology: Techniques, Approaches and

Applications, M. Elloumi and A. Zomaya, Editors, John Wiley & Sons, Inc., In press for 2011.

R. Albert, B. DasGupta and E. Sontag, ―Inference of Signal Transduction Networks from Double Causal

Evidence,‖ in Methods in Molecular Biology: Topics in Computational Biology, D. Fenyo, Editor, Humana Press,

In Press, 2010.

B. DasGupta and D. Liu, ―Approximate Learning of Dynamic Models/Systems,‖ in Encyclopedia of the Sciences

of Learning, N. M. Seel (Editor-in-Chief), Springer Verlag, In Press, 2012.

M. Ashley, T. Y. Berger-Wolf, I. Caballero, W. Chaovalitwongse, B. DasGupta and S. Sheikh, ―Full Sibling

Reconstructions in Wild Populations from Microsatellite Genetic Markers,‖ in Computational Biology: New

Research, A. S. Russe, Editor, Nova Science Publishers, pp. 231-258, 2009.

Barbara Di Eugenio

B. Di Eugenio and N. Green, ―Emerging Applications of Natural Language Generation in Information

Visualization, Education, and Health-Care,‖ in The Handbook of Natural Language Processing (2nd

ed.). N.

Indurkhya and F. Damerau, Editors, CRC Press, Taylor and Francis Group. pp. 557-575, 2010.

Bing Liu

B. D. Davison, T. Suel, N. Craswell and B. Liu, ―Proceedings of the Third International Conference on Web

Search and Web Data Mining,‖ WSDM 2010, New York, NY, USA, 2010 ACM 2010.

B. Liu, ―Sentiment Analysis and Subjectivity,‖ in Handbook of Natural Language Processing, Chapman &

Hall/CRC, pp. 627-666, 2010.

X. Li, B. Liu and P. S. Yu, ―Time Sensitive Ranking with Application to Publication Search in Link Mining:

Models, Algorithms and Applications,‖ Springer, 2010.


F. Murgadella and V. N. Venkatakrishnan, eds., Proceedings of the 3rd U.S.-France Young Engineering Scientists

Symposium (YESS), July 2009.

Ouri Wolfson

G. Trajcevski, O. Wolfson and P. Scheuermann, ―Compression of Mobile Location Data,‖ in Encyclopedia of

Database Systems, Springer, pp. 421-429, 2009.

Y. Luo and O. Wolfson, ―MANET Databases,‖ in Encyclopedia of Database Systems, Springer, pp. 1685-1691,

2009.

O. Wolfson, ―Mobile Database,‖ in Encyclopedia of Database Systems, Springer, p. 1751, 2009.

O. Wolfson, Foreword to the book Mobile Peer-to-Peer Computing for Next Generation Distributed

Environments: Advancing Conceptual and Algorithmic Applications, B-.C. Seet Editor, IGI Global Publishing,

2009.


124

Y. Luo, O. Wolfson and B. Xu, ―The MOBI-DIK Approach to Searching in Mobile Ad Hoc Network Databases,‖

in Handbook of Peer-to-Peer Networking, X. Shen, H. Yu, J. Buford and M. Akon, Editors, Springer, 2009.

O. Wolfson and B. Xu, ―Spatio-temporal Databases in Urban Transportation,‖ Bulletin of the IEEE Computer

Society Technical Committee on Data Engineering, Vol. 33, No. 2, Issue on New Frontiers in Spatial and Spatio-

temporal Database Systems, 2010.

L. Melendez, O. Wolfson, M. Adjouadi and N. Rishe, ―Qualitative Analysis of Commercial Social Network

Profiles,‖ Handbook of Social Networks, Technologies and Applications, B. Furht, Editor, Springer, 2010.

Clement Yu

W. Wu, A. Doan, C. Yu and W. Meng, ―Modeling and Extracting Deep-Web Query Interfaces,‖ in Advances in

Information and Intelligent Systems, Z. W. Ras and W. Ribarsky, Editors, Springer, pp.65-90, October 2009.

W. Meng and C. Yu, ―Web Search Technologies for Text Documents,‖ in The Handbook of Technology

Management, Wiley, Hossein Bidgoli, Editor, Wiley Publisher, 2010.

Philip Yu

B. Long, Z. Zhang and P. S. Yu, eds., Relational Data Clustering: Models, Algorithms, and Applications,

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 2010.

B. C. M. Fung, K. Wang, A. W.-C. Fu, and P. S. Yu, eds., Introduction to Privacy-Preserving Data Publishing:

Concepts and Techniques, Data Mining and Knowledge Discovery Series, 376 pages, Chapman & Hall/CRC,

2010.

L. Cao, A. E. Gorodetsky, J. Liu and G. Weiss and P. S. Yu, eds., Agents and Data Mining Interaction, Lecture

Notes in Artificial Intelligence, vol. 5680, 200 pages, Springer, 2009.

P. S. Yu, J. Han and C. Faloutsos, eds., Link Mining: Models, Algorithms and Applications, 430 pages, Springer,

2010.


Rashid Ansari

R. Ansari and A. E. Cetin, ―Two-dimensional FIR Filters,‖ Chapter 22 in Circuits and Filters Handbook, W.-K.

Chen, Editor, Boca Raton, FL, CRC Press, revised for Third Edition, 2009.

Natasha Devroye

E. Hossain, L. Le, N. Devroye and M. Vu, ―Cognitive Radio: From Theory to Practical Network Engineering,‖ in

Advances in Wireless Communications, V. Tarokh, I. F. Blake and A. Gulliver, Editors, Springer, 2009.

N. Devroye, ―Information Theoretical Limits on Cognitive Radio Networks,‖ in Cognitive Radio Communications

and Networks; Principles and Practice, A. M. Wyglinski, M. Nekovee and Y.T. Hou, Editors, Elsevier, 2010.

Mitra Dutta





Ashfaq Khokhar

S. Ma, D. Schonfeld and A. Khokhar, ―Motion Trajectory-Based Video Retrieval, Classification, and

Summarization,‖ in Studies in Computational Intelligence, Vol. 287, 53-82, 2010.

James Lin

J. C. Lin, ―Advances in Electromagnetic Fields in Living Systems,‖ Springer, New York, Vol. 5, 2009.

Book and Chapter Publications

125

P. Vecchia, R. Matthes, G. Ziegelberger, J. Lin, R. Saunders and A. Swerdlow, ―Exposure to High Frequency

Electromagnetic Fields, Biological Effects and Health Consequences (100 kHz-300 GHz),‖ International

Commission on Nonionizing Radiation Protection, ICNIRP-16, Munich, Germany, 2009.

J. C. Lin, ―Carcinogenic Effect of Wireless Communication Radiation in Rodents,‖ in Advances in

Electromagnetic Fields in Living Systems, Springer, New York, Vol. 5, pp. 35-82, 2009.

P. Bernardi, M. Cavagnaro, S. Pisa , E. Piuzzi and J. C. Lin, ―Dosimetry and Temperature Aspects of Mobile

Phone Exposures,‖ in Advances in Electromagnetic Fields in Living Systems, Springer, New York, Vol. 5, pp.

221-276, 2009.

Derong Liu

H. Zhang, D. Liu and Z. Wang, Controlling Chaos: Suppression, Synchronization and Chaotification, London,

UK, Springer, 2009.

Sudip Mazumder

S. K. Mazumder, ed., Wireless Network-Based Control, Springer, In Press, 2010.

M. Tahir and S. K. Mazumder, ―Distributed Optimal Delay Robustness and Network Throughput Tradeoff in

Control-Communication Networks,‖ in Wireless Network-Based Control, S. K. Mazumder, Editor, In Press, 2010.

Dan Schonfeld

S. Ma, D. Schonfeld and A. Khokhar, ―Motion Trajectory-Based Video Retrieval, Classification, and

Summarization,‖ in Studies in Computational Intelligence, Vol. 287, 53-82, 2010.

Michael Stroscio





Philip Yu

B. Long, Z. Zhang and P. S. Yu, eds., Relational Data Clustering: Models, Algorithms, and Applications,

Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, 2010.

B. C. M. Fung, K. Wang, A. W.-C. Fu, and P. S. Yu, eds., Introduction to Privacy-Preserving Data Publishing:

Concepts and Techniques, Data Mining and Knowledge Discovery Series, 376 pages, Chapman & Hall/CRC,

2010.

L. Cao, A. E. Gorodetsky, J. Liu and G. Weiss and P. S. Yu, eds., Agents and Data Mining Interaction, Lecture

Notes in Artificial Intelligence, vol. 5680, 200 pages, Springer, 2009.

P. S. Yu, J. Han and C. Faloutsos, eds., Link Mining: Models, Algorithms and Applications, 430 pages, Springer,

2010.

Milos Žefran

S. Bengea, K. Uthaichana, R. DeCarlo and M. Žefran, ―Optimal Control of Switching Systems via Embedding

into Continuous Optimal Control Problem,‖ in The Control Handbook, CRC Press, In press.


Suresh Aggarwal

S. K. Aggarwal and A. Briones, ―Hydrogen Combustion and Emissions in a Sustainable Energy Future,‖ in

Handbook of Combustion, Vol. 3, M. Lackner, F. Winter and A. K. Agarwal, Editors, Wiley-VCH Verlag GmbH,

Weinheim, ISBN 978-3-527-32449-1, 2010.


126

S. K. Aggarwal, ―Hydrogen-Assisted Combustion and Emission Characteristics of Fossil Fuels,‖ in Handbook of

Combustion, Vol. 3, M. Lackner, F. Winter and A. K. Agarwal, Editors, Verlag GmbH, Weinheim, ISBN 978-3-

527-32449-1, 2010.

Prashant Banerjee

P. P. Banerjee, ―Virtual Reality and Automation,‖ in Handbook of Automation, S. Nof, Editor, Springer-Verlag,

Berlin, pp. 269-278, 2009.

P. P. Banerjee and C. J. Luciano, ―Virtual Exercise Environment for Participation and Adherence of People with

Disabilities,‖ in Virtual and Collaborative Engineering, J. Cecil, Editor, Momentum Press, In press.

David He

D. He, E. Bechhoefer, M. Al-Kateb, P. Joshi and M. Imadabathuni, ―A Novel Configuration-driven Data Mining

Framework for Health and Usage Monitoring Systems,‖ in Data Mining, A. Lazinica, Editor, In-Tech, Vienna,

Austria, 2010.

D. He, S. Wu and E. Bechhoefer, ―A Regime Recognition Algorithm for Helicopter Usage Monitoring,‖ in

Aerospace Technologies Advancements, T. T. Arif, Editor, In-Tech, Vienna, Austria, 2009.

W. J. Minkowycz

J. P. Abraham, E. M. Sparrow, W. J. Minkowycz, J. C. K. Tong and R. Ramazani-Rend, ―Modeling Internal

Flows by an Extended Menter Transition Model,‖ in Turbulence Modeling, Springer Verlag, 2010.

Ahmed Shabana

A. A. Shabana, Computational Dynamics, Third Edition, John Wiley & Sons, 2009.

127

JOURNAL PUBLICATIONS

BIOENGINEERING

Michael Cho

I. A. Titushkin, V. Roa, W. F. Pickard, E. Moros, G. Shafirstein and M. R. Cho, ―Altered Calcium Dynamics

Mediates P19-derived Neuron-like Cell Responses to Millimeter Wave Radiation,‖ Radiation Res., 172:725-736,

2009.

I. A. Titushkin, S. Sun, J. S. Shin and M. Cho, ―Physicochemical Control of Adult Stem Cell Differentiation:

Shedding Light on Potential Molecular Mechanisms,‖ J. Biomed. Biotech., Vol. 2010, Article ID 743476, 14

pages, doi: 10.1155/2010/743476, 2010.

T. P. Shentu, I. Titushkin, D. Singh, K. J. Gooch, P. Subbaiah, M. Cho and I. Levitan, ―OxLDL-Induced Decrease

in Lipid Order of Membrane Domains is Inversely Correlated with Endothelial Stiffness and Network Formation,‖

Am. J. Physiol. – Cell Physiol., 299: C218-C229. doi:10.1152/ajpcell.00383.2009. Published April 21, 2010.

Yang Dai

Y. Dai and X. Zhou, ―Computational Methods for the Identification of MicroRNA Targets,‖ Open Access

Bioinformatics, Vol. 2, pp. 29-39, 2010.

S. Asztalos, P. Gann, M. Hayes, L. Nonn, C. Beam, Y. Dai, E. Wiley and D. Tonetti, ―Gene Expression Patterns

in the Human Breast After Pregnancy,‖ Cancer Prevention Research, Vol. 3 No. 1, pp. 301-311, 2010.

J. Frasor, A. Weaver, M. Pradhan, Y. Dai, L. D. Miller, C-Y Lin and A. Stanculescu, ―Positive Crosstalk between

Estrogen Receptor and NFKB in Breast Cancer,‖ Cancer Research, Vol. 69, No. 23, pp. 8918-8925, 2009.

C. H. Larisa, V. L. Groo, M. A. Viana, Y. Dai, S. R. Patel and T. D. Stamos, ―Circulating Aldosterone and

Mineralocorticoid Receptor Genotype are Predictive of Potassium Response to Spironolactone in Heart Failure,‖

Pharmacotherapy, Vol. 30, No. 1, pp. 1-9, 2010.

David Eddington

S. Oppegard, P. A. Anderson and D. T. Eddington, ―Puncture Mechanics of Cnidarian Cnidocysts: A Natural

Actuator,‖ Journal of Biological Engineering 3(1): 17, 2009.

S. Oppegard, K. Nam, J. Carr, S. Skaalure and D. T. Eddington, ―Microfabriacted Add-on for Multiwell Plates,‖

PLoS ONE 4(9): e6891.doi:10.1371/journal.pone, 0006891journal.pcbi. 1000288, 2009.

K. Nam and D. T. Eddington, ―Size Based Separation of Microparticles in a Multilayered Microfluidic Device,‖ J.

Microelectromechanical Systems, In press.

A. F. Adewola, D. Lee, T. Harvat, J. S. Mohammed, D. T. Eddington, J. Oberholzer and Y. Wang, ―Microfluidic

Perifusion and Imaging Device for Multi-parametric Islet Function Assessment,‖ Biomedical Microdevices, In

press.

H. H. Caicedo, M. Hernandex, C. P. Fall and D. T. Eddington, ―Multiphysics Simulation of a Microfluidic

Perfusion Chamber for Brain Slice Physiology,‖ Biomedical Microdevices, In press.

J. H. Myung, C. A Launiere, D. T. Eddington and S Hong, ―Enhanced Tumor Cell Isolation by a Biomimetic

Combination of E-selectin and Anti-EpCAM: Implications for the Effective Separation of Circulating Tumor

Cells (CTCs),‖ Langmuir, In press.

Jie Liang

J. Liang and H. Qian, ―Computational Cellular Dynamics Based on the Chemical Master Equation: A Challange

for Understanding Complexity,‖ Journal of Computer Science and Technology, 25(1):154-168, 2010.

L. Adamian, H. A. Gussin, Y. Y. Tseng, N. J. Muni, F. Feng, H. Qian, D. R. Pepperberg and J. Liang, ―Structural

Model of rho1 GABAc Receptor Based on Evolutionary Analysis: Testing of Predicted Protein-protein

Interactions Involved in Receptor Assembly and Function,‖ Protein Science, 18(11):2371-2383, 2009.


128

J. Zhang, J. Dundas, M. Lin, R. Chen, W. Wang and J. Liang, ―Prediction of Geometrically Feasible Three

Dimensional Structures of Pseudoknotted RNA through Free Energy Estimation,‖ RNA 2009, 15: 2248-2263, doi:

10.1261/rna.1723609, 2009.

H.-M. Lu and J. Liang, ―Perturbation-based Markovian Transmission Model for Probing Allosteric Dynamics of

Large Macromolecular Assembling: A study of GroEL-GroES,‖ PLoS Computational Biol, 5(10): e1000526.

doi:10.1371/journal.pcbi.1000526, 2009.

Y. Cao and J. Liang, ―Nonlinear Langevin Model with Product Stochasticity for Biological Networks: The Case

of the Schnakenberg Model,‖ Journal of Systems Science and Complexity. 2010.

James Lin

J. C. Lin, P. Bernardi and J. B. Andersen, ―The Formation and Early Years of URSI Commission K on

Electromagnetics in Biology and Medicine,‖ Radio Science Bulletin, No. 330, pp. 51-59, 2009.

P. Vecchia, R. Matthes, M. Feychting, A. Green, K. Jokela, J. Lin, A. Peralta, R. Saunders, K. Schulmeister, P.

Söderberg, B. Stuck, A. Swerdlow, B. Veyret, M. Repacholi and G. Ziegelberger, ―ICNIRP statement on the

‗Guidelines for Limiting Exposure to Time-varying Electric, Magnetic and Electromagnetic Fields (up to 300

GHz),‘‖ Health Phys. 97(3), pp. 257-258, 2009.


Söderberg, B. Stuck, A. Swerdlow, B. Veyret, M. Repacholi and G. Ziegelberger, ―Amendment to the ICNIRP

‗Statement on Medical Magnetic Resonance (MR) Procedures: Protection of Patients,‘‖ Health Phys. 97(3), pp.

259-261, 2009.

J. C. Lin and Z. W. Wang, ―Acoustic Pressure Waves Induced in Human Heads by RF Pulses from High-Field

MRI Scanners,‖ Health Phys. 98(4), pp. 603-613, 2010.

J. C. Lin, ―Health Aspects and Exposure Standards for the Physical Layer of Mobile Communication,‖ ICaST

Magazine, In press.

E. Piuzzi, P. Bernardi, M. Cavagnaro, S. Pisa and J. C. Lin, ―Analysis of Adult and Child Exposure to Fixed

Stations of Mobile Communication Systems (900 MHz – 3 GHz),‖ IEEE Trans. Electromagnetics Compatibility,

In press.

Andreas Linninger

S. Basati, T. Harris and A. Linninger, ―Dynamic Brain Phantom for Continuous Intracranial Volume

Measurements,‖ IEEE Transaction on Biomedical Engineering, In press.

N. Sindhwani, O. Ivanchenko, E. Lueshen, K. Prem and A. Linninger, ―Methods for Determining Agent

Concentration Profiles in Agarose Gel during Convection-Enhanced Drug Delivery,‖ Journal of Biomechanical

Engineering, In press.

O. Ivanchenko, N. Sindhwani and A. Linninger, ―Experimental Techniques for Studying Poroelasticity in Brain

Phantom Gels under High Flow Micro-infusion,‖ Journal of Biomechanical Engineering, In press.

A. Linninger, ―Industry-wide Energy Saving by Complex Separation Networks,‖ Comp. Chem. Eng., 33, pp.

2018-2027, 2009.

A. Linninger, M. Xenos, B. Sweetman, S. Ponkshe, X. Guo and R. Penn, ―A Mathematical Model of Blood,

Cerebrospinal Fluid and Brain Dynamics,‖ Journal of Mathematical Biology 59(6): pp. 729-759, 2009.

A. Linninger, B. Sweetman and R. Penn, ―Normal and Hydrocephalic Brain Dynamics: Reduced Cerebrospinal

Fluid Reabsorption and Ventricular Enlargement,‖ Annals of Biomedical Engineering, 37, (7), pp. 1434-1447,

2009.

R. Penn and A. Linninger, ―The Physics of Hydrocephalus,‖ Pediatric Neurosurgery, 45, pp. 161-174, 2009.

A. Linninger, S. Basati and R. Penn, ―An Impedance Sensor to Monitor and Control Cerebral Ventricular

Volume,‖ Medical Engineering and Physics, 31, pp. 838-845, 2009.

J. Moon and A. Linninger, ―A Hybrid Sequential Niche Genetic Algorithm for Optimal Engineering Design with

Solution Multiplicity,‖ Comp. Chem. Eng., 33 (7), pp. 1261-1271, 2009.

Journal Publications

129

Hui Lu

K. Meerschaert, M. Tun, E. Remue, A. De Ganck, C. Boucherie, B. Vanloo, G. `le Degeest, J. Vandekerckhove,

P. Zimmermann, N. Bhardwaj, H. Lu, W. Cho and J. Gettemans, ―The PDZ2 Domain of Zonula Occludens-1 and

-2 is a Phosphoinositide Binding Domain,‖ Cell. Mol. Life. Sci., Vol. 66, pp. 3951-3966, 2009.

N. Bhardwaj, M. Gerstein and H. Lu, ―Genome-Wide Sequence-Based Prediction of Peripheral Proteins Using a

Novel Semi-Supervised Learning Technique,‖ BMC Bioinformatics, 2010.

R. E. Langlois and H. Lu, ―Boosting the Prediction and Understanding of DNA-binding Domains from

Sequence,‖ Nucleic Acid Research, In press.

N. Bhardwaj, M. Carson, A. Abyzov, K.-K. Yan, H. Lu and M. Gerstein, ―Analysis of Combinatorial Regulation:

Scaling of Partnership between Regulators with the Number of Governed Targets,‖ PLOS Computational Biology,

In press.

M. Carson, R. Langlois and H. Lu, ―NAPS: A Residue-level Nucleic Acid-binding Prediction Server,‖ Nucleic

Acid Research, In press.

G. Ali Mansoori

G. A. Mansoori, ―A Unified Perspective on the Phase Behaviour of Petroleum Fluids,‖ Int. J. Oil, Gas and Coal

Technology, Vol. 2, No. 2, pp. 141-167, 2009.

F. Marsusi, K Mirabbaszadeh and G. A. Mansoori, ―Altering the Electronic Properties of Diamondoids through

Encapsulating Small Charged Particles,‖ J. Phys.: Condens, Matter 21 215303 (8pp) doi: 10.1088/0953, 2009.

G. A. Mansoori, ―Phase Behavior in Petroleum Fluids,‖ Petroleum Engineering – Downstream Section of

Encyclopedia of Life Support Systems, 33 pages, UNESCO, UN, Paris, France 2009.

James Patton

J. S. Sulzer, K. E. Gordon , Y. Y. Dhaher, M. A. Peshkin and J. L. Patton, ―Pre-swing Knee Flexion Assistance is

Coupled with Hip Abduction in People with Stiff-Knee Gait After Stroke,‖ Stroke (ISSN 0039-2499), In press.

M. Levin and J. Patton, ―Volitional Control and Whole Body Movement: Bringing It All Together,‖ p. 758 in D.

M. Kerkovich et al., ―Transformational Technologies in Single-Event Neurological Conditions: Applying

Lessons Learned in Stroke to Cerebral Palsy (August 14-15, 2008),‖ Neurorehabilitation and Neural Repair,

23(7):747-765, 2009.

J. Sulzer, J. Patton and M. Peshkin, ―A Highly Backdrivable, Lightweight Knee Actuator for Investigating Gait in

Stroke,‖ IEEE-Transactions on Robotics (tRo) 25 (3) pp. 539-548, 2009.

D. J. Reinkensmeyer and J. L. Patton, ―Can Robots Help the Learning of Skilled Actions?‖ Exercise and Sport

Sciences Reviews, 37 (1), pp. 43-51, 2009.

Thomas Royston

W. Kolata, B. A. Martin, J. N. Oshinski, M. Jerosch-Herold, T. J. Royston and F. Loth, ―MR Measurement of

Cerebrospinal Fluid Velocity Wave Speed in the Spinal Canal,‖ IEEE Trans. on Biomedical Engineering, Vol. 56,

No. 6, pp. 1765 – 1768, 2009.

F. C. Meral, T. J. Royston and R. L. Magin, ―Surface Response of a Fractional Order Viscoelastic Halfspace to

Surface and Subsurface Sources,‖ J. of the Acoustical Society of America, Vol. 126, No. 6, pp. 3278 – 3285, 2009.

R. L. Magin and T. J. Royston, ―Fractional-Order Elastic Models of Cartilage: A Multi-scale Approach,‖

Communications in Nonlinear Science & Numerical Simulation, Vol. 15, No. 3, pp. 657 – 664, 2010.

F. C. Meral, T. J. Royston and R. L. Magin, ―Fractional Calculus in Viscoelasticity: An Experimental Study,‖


B. A. Martin, R. Labuda, T. J. Royston, J. N. Oshinski, B. Iskandar and F. Loth, ―Spinal Canal Pressure

Measurements in an In Vitro Spinal Stenosis Model: Implications on Syringomyelia Theories,‖ ASME Journal of

Biomechanical Engineering, In press.


130

Michael Stroscio

K. Sun, M. Vasudev, H.-S. Jung, J. Yang, A. Kar, Y. Li, K. Reinhardt, P. Snee, M. A. Stroscio, and M. Dutta,

―Applications of Colloidal Quantum Dots,‖ Microelectronics Journal, 40, pp. 644-649, 2009.

K. Sun, M. A. Stroscio and M. Dutta, ―Graphite C-axis Thermal Conductivity,‖ Superlattices and

Microstructures, 45(2), pp. 60-64, 2009.

K. Sun, M. A. Stroscio and M. Dutta, ―Thermal Conductivity of Carbon Nanotubes,‖ Journal of Applied Physics,

105, 074316-1-5; also in Virtual Journal of Nanoscale Science and Technology, 2009.

A. Kar, J. Yang, M. Dutta, M. A. Stroscio, J. Kumari and M. Meyappan, ―Rapid Thermal Annealing Effects on

Tin Oxide Nanowires Prepared by Vapor-liquid-solid Technique,‖ Nanotechnology, Nanotechnology, 20, 065704,

2009.

M. Vasudev, J. Yang, H. Jung and M. A. Stroscio, ―Integrated Nanostructure-semiconductor Molecular

Complexes as Tools for THz Spectral Studies of DNA,‖ IEEE Sensors Journal, 10, pp. 524-530, 2010.

J. Qian, S. Liao, S. Xu, M. A. Stroscio and M. Dutta, ―Direct Measurement of Electical Transport through Single

Molecules,‖ Journal of Applied Physics, 106, 033702-1-8, also published in Virtual Journal of Biological Physics

Research, 8(4), 2009.

J. Qian, M. J. Allen, Y. Yang, M. Dutta and M. A. Stroscio, ―Quantized Long-wavelength Optical Phonon Modes

in Graphene Nanoribbon in the Elastic Continuum Model,‖ Superlattices and Microstructures, 46, pp. 881-888

(December 2009); doi:10.1016/j.spmi.2009.09.001, 2009.

S. Biswas and M. A. Stroscio, ―Negative Differerential Resistance in Conductive Polymer and Semiconducting

Quantum Dot Nanocomposite Systems,‖ Applied Physics Letter, 95, 182102; doi:10.1063/1.3258350 (3 pages),

2009.

S. Liao, K. Sun, M. Stroscio and M. Dutta, ―Photodetector Based on GaN Double-Barrier Resonant Tunneling

Diode Coupled with Colloidal Quantum Dots,‖ Solid State Electronics, In press.

Christos Takoudis

L. Jiang, J. Zhang, D. Gamota and C. G. Takoudis, ―Enhancement of the Field-effect Mobility of Solution

Processed Organic Thin Film Transistors by Surface Modification of the Dielectric,‖ Organic Electronics 11, pp.

344-350, 2010.

L. Jiang, J. Zhang, D. Gamota and C. G. Takoudis, ―Organic Thin Film Transistors with Novel Thermally Cross-

linked Dielectric and Printed Electrodes on Flexible Substrates,‖ Organic Electronics 11, pp. 959-963, 2010.

Q. Tao, G. Jursich and C. G. Takoudis, ―Selective Atomic Layer Deposition of HfO2 on Copper Patterned Silicon

Substrates,‖ Applied Physics Letters 96, 192105/1-192105/3, 2010.

M. K. Singh, Y. Yang and C. G. Takoudis, ―Synthesis of Multifunctional Multiferroic Materials from

Metalorganics,‖ Coordination Chemistry Reviews 253, pp. 2920-2934, 2009.

P.-S. Seo, J.-J. Jeong, L. Zeng, C. G. Takoudis, B. J. Quinn, A. A. Khan, T. Hanada and A. H. Chishti,

―Alternatively Spliced Exon 5 of the FERM domain of Protein 4.1R Encodes a Novel Ninding Site for

Erythrocyte p55 and is Critical for Membrane Targeting in Epithelial Cells,‖ Biochimica et Biophysica Acta -

Molecular Cell Research 1793, pp. 281-289, 2009.

W. W. Chian, C. G. Takoudis, S. H. Lee, A. Weis-McNulty, R. Glick and N. Alperin, ―Relationship between

Ventricular Morphology and Aqueductal Cerebrospinal Fluid Flow in Healthy and Communicating

Hydrocephalus,‖ Investigative Radiology 44, pp. 192-199, 2009.

P.-S. Seo, B. J. Quinn, A. A. Khan, L. Zeng, C. G. Takoudis, T. Hanada, A. Bolis, A. Bolino and A. H. Chishti,

―Identification of Erythrocyte p55/MPP1 as a Binding Partner of NF2 Tumor Suppressor Protein/Merlin,‖

Experimental Biology and Medicine 234, pp. 255-262, 2009.

M. Singh, Y. Yang, C. G. Takoudis, A. Tatarenko, G. Srinivasan, P. Kharel and G. Lawes, ―Metalorganic

Chemical Vapor Deposited BiFeO3 Films For Tunable High-frequency Devices,‖ Electrochemical and Solid-State

Letters 12, H161 – H164, 2009.


131

A. Rasul, J. Zhang, D. Gamota and C. G. Takoudis, ―Flexible High Capacitance Nanocomposite Gate Insulator for

Printed Organic Field Effect Transistors,‖ Thin Solid Films, In press.

M. Singh, Y. Yang, C. G. Takoudis, A. Tatarenko, G. Srinivasan, P. Kharel and G. Lawes, ―Multiferroic BiFeO3

Thin Films for Multifunctional Devices,‖ J. Nanosci. Nanotechnol., In press.

P. Majumder, G. Jursich and C. Takoudis, ―Structural Phase Transformation of Y2O

3 doped HfO

2 Films Grown on

Si Using Atomic Layer Deposition,‖ J. Appl. Phys. 105, 104106/1-104106/6, 2009.

Q. Tao, G. Jursich, P. Majumder, M. W. Walkosz, P. Gu, R. Klie and C. Takoudis, ―Composition-structure-

dielectric Property of Yttrium-doped Hafnium Oxide Films Deposited by Atomic Layer Deposition,‖

Electrochem. Solid State Lett. 12, G50-G53, 2009.


Ying Liu

Y. Liu and R. Ismagilov, ―Dynamics of Coalescence of Plugs with a Hydrophilic Wetting Layer Induced by Flow

in a Microfluidic Chemistrode,‖ Langmuir, 25 (5), pp. 2854-2859, 2009.

B. Russ, Y. Liu and R. Prud‘homme, ―Optimized Descriptive Model for Micromixing in a Vortex Mixer,‖

Chemical Engineering Communications. 197, pp. 1068-1075, 2010.

H. Shen, S.Hong, R. Prud‘homme and Y. Liu, ―Dynamic Analysis of the Self-assembling Process of Flash

NanoPrecipitation in a Multi-Inlet Vortex Mixer (MIVM) to Produce Drug Loaded Polymeric Nanoparticles,‖

Langmuir, In press.

G. Ali Mansoori

G. A. Mansoori, ―A Unified Perspective on the Phase Behaviour of Petroleum Fluids,‖ Int. J. Oil, Gas and Coal

Technology, Vol. 2, No. 2, pp. 141-167, 2009.

F. Marsusi, K. Mirabbaszadeh and G. A. Mansoori, ―Altering the Electronic Properties of Diamondoids through

Encapsulating Small Charged Particles,‖ J. Phys.: Condens. Matter 21 215303 (8pp) doi: 10.1088/0953, 2009.

G. A. Mansoori, ―Phase Behavior in Petroleum Fluids,‖ Petroleum Engineering – Downstream Section of

Encyclopedia of Life Support Systems, 33 pages, UNESCO, UN, Paris, France 2009.

Randall Meyer

Y. Lei, A. Uhl, C. Becker, K. Wandelt, B. C. Gates, R. Meyer and M. Trenary, ―Adsorption and Reaction of

Rh(CO)2(acac) on Al2O3/Ni3Al(111),‖ Physical Chemistry Chemical Physics, 12, pp. 1264-1270, 2010.

T. E. Feltes, L. Espinosa-Alonso, E. de Smit, L. D‘Souza, R. J. Meyer, B. M. Weckhuysen and J. R. Regalbuto,

―Selective Adsorption of Manganese onto Cobalt for Optimized Mn/Co/TiO2 Fischer-Tropsch Catalysts,‖ Journal

of Catalysis, 270, pp. 95-102, 2010.

Y. Lei, F. Mehmood, S. Lee, J. Greeley, B. Lee, S. Seifert, R. E. Winans, J. W. Elam, R. J. Meyer, P. C. Redfern,

D. Teschner, R. Schlögl, M. J. Pellin, L. C. Curtiss and S. Vajda, ―Increased Silver Activity for Direct Propylene

Epoxidation via Subnanometer Size Effects,‖ Science, 328, pp. 224-228, 2010.

J. Jelic, K. Reuter and R. Meyer, ―The Role of Surface Oxides in NOx Storage Reduction Catalysts,‖

ChemCatChem, 2(6): 658-660; DOI: 10.1002/cctc.201000006, 2010.

H. L. Abbott, A. Uhl, M. Baron, Y. Lei, R. J. Meyer, D. J. Stacchiola, O. Bondarchuk, S. Shaikhutdinov and H.-J.

Freund, ―Relating Methanol Oxidation to the Structure of Ceria-Supported Vanadia Monolayer Catalysts,‖

Journal of Catalysis, 272, pp. 82-91, 2010.

J. Jelic and R. Meyer, ―A DFT Study of Pseudomorphic Monolayer Pt Catalysts for Water Gas Shift,‖ Journal of

Catalysis, 272, pp. 151-157, 2010.


132

N. Guo, B. R. Fingland, W. D. Williams, V. F. Kispersky, J. Jelic, W. N. Delgass, F. H. Ribeiro, R. J. Meyer and

J. T. Miller, ―Determination of CO, H2O and H2 Coverage by XANES and EXAFS on Pt and Au During Water

Gas Shift Reaction,‖ Physical Chemistry Chemical Physics, 12, pp. 5678-5693, 2010.

T. E. Feltes, Y. Zhao, R. F. Klie, R. J. Meyer and J. R. Regalbuto, ―The Influence of Preparation Method on Mn-

Co Interactions in Mn/Co/TiO2 Fischer-Tropsch Catalysts,‖ ChemCatChem., In press.

J. Yin, R. Meyer and M. Trenary, ―Site Switching from di-σ ethylene to π -bonded Ethylene in the Presence of

Co-adsorbed Nitrogen on Pt (111),‖ Journal of Physical Chemistry C, In press.

Sohail Murad

S. Murad, L. Luo and L-Y Chu, ―Anomalous Flow Behavior in Nanochannels: A Molecular Dynamics Study,‖

Chemical Physics Letters, In press.

A. Malani, S. Murad and K. G. Ayappa, ―Hydration of Ions under Confinement,‖ Molecular Simulation, In press.

H. Yuan, C. J. Jameson and S. Murad, ―Diffusion of Gases across Lipid Membranes with OmpA Channel: A

Molecular Dynamics Study,‖ Molecular Physics, In press.

H. Yuan, C. J. Jameson and S. Murad, ―Exploring Gas Permeability of Lipid Membranes Using Coarse Grained

Molecular Dynamics,‖ Molecular Simulation, 35, pp. 953-961, 2009.

N. Sedighi, S. Murad and S. K. Aggarwal, ―Molecular Dynamics Simulations of Nanodroplet Spreading on Solid

Surfaces: Effect of Droplet Size,‖ Fluid Dynamics Research, 42, 035501[1-23] , 2010.

S. Murad and I. K. Puri, ―Thermal Transport Through Superlattice Solid-Solid Interfaces,‖ Applied Physics

Letters, 95, 051907, 2009.

A. Malani, K. G. Ayappa and S. Murad, ―Influence of Hydrophilic Surface Specificity on the Structural Properties

of Confined Water,‖ Journal of Physical Chemistry B, 113, 13825-39, 2009.

S. Murad and I. K. Puri, ―Thermal Transport Through a Fluid-solid Interface,‖ Chemical Physics Letters, 476, pp.

267-70, 2009.

Ludwig Nitsche

L. C. Nitsche and P. Parthasarathi, ―Cubically Regularized Stokeslets for Fast Particle Simulations of Low-

Reynolds-Number Drop Flows,‖ Chem. Eng. Commun., 197, pp. 18-38, 2010.

John Regalbuto

T. E. Feltes, L. Espinosa-Alonso, E. de Smit, L. D’Souza, R. J. Meyer, B. M. Weckhuysen and J. R. Regalbuto,

―Selective Adsorption of Manganese onto Cobalt for Optimized Mn/Co/TiO2 Fischer-Tropsch Catalysts,‖ J.

Catal. 270, 95, 2010.

T. E. Feltes, Y. Zhao, R. F. Klie, R. J. Meyer and J. R. Regalbuto, ―The Influence of Preparation Method on Mn-

Co Interactions in Mn/Co/TiO2 Fischer-Tropsch Catalysts,‖ Chem. Cat. Chem., DOI: 10.1002/cctc.201000103 (22

June 2010), In press.

N. Job, S. Lambert, M. Chatenet, C. J. Gommes, F. Maillard, S. Berthon-Fabry, J. R. Regalbuto and J.-P. Pirard,

―Preparation of Highly Loaded Pt/carbon Xerogel Catalysts for Proton Exchange Membrane Fuel Cells by the

Strong Electrostatic Adsorption Method,‖ Catal. Today 150, 119, 2010.

N. Job, F. Maillard, M. Chatenet, C. J. Gommes, S. Lambert, S. Hermans, J. R. Regalbuto and J.-P. Pirard,

―Synthesis and Characterization of Highly Loaded Pt/carbon xerogel Catalysts Prepared by the Strong

Electrostatic Adsorption Method,‖ Stud. Surf. Sci. Catal., Vol. 175, pp. 169-176, 2010.

J. R. Regalbuto, ―An NSF Perspective on Next Generation Hydrocarbon Biorefineries,‖ Comput. Chem. Eng.,

doi:10.1016/j.compchemeng.2010.02.025, 2010.

M. Schreier, T. E. Feltes, M. T. Schaal and J. R. Regalbuto, ―The Determination of Oxide Surface Charging

Parameters for a Predictive Metal Adsorption Model,‖ J. Coll. Interf. Sci., doi:10.1016/j.jcis.2010.04.064 (28

April 2010), In press.


133

L. D‘Souza, and J. R. Regalbuto, ―Strong Electrostatic Adsorption for the Preparation of Pt/Co/C and Pd/Co/C

Bimetallic Electrocatalysts,‖ Stud. Surf. Sci. Catal., In press.

Christos Takoudis

L. Jiang, J. Zhang, D. Gamota and C. G. Takoudis, ―Enhancement of the Field-effect Mobility of Solution

Processed Organic Thin Film Transistors by Surface Modification of the Dielectric,‖ Organic Electronics 11, pp.

344-350, 2010.

L. Jiang, J. Zhang, D. Gamota and C. G. Takoudis, ―Organic Thin Film Transistors with Novel Thermally Cross-

linked Dielectric and Printed Electrodes on Flexible Substrates,‖ Organic Electronics 11, pp. 959-963, 2010.

Q. Tao, G. Jursich and C. G. Takoudis, ―Selective Atomic Layer Deposition of HfO2 on Copper Patterned Silicon

Substrates,‖ Applied Physics Letters 96, 192105/1-192105/3, 2010.

M. K. Singh, Y. Yang and C. G. Takoudis, ―Synthesis of Multifunctional Multiferroic Materials from

Metalorganics,‖ Coordination Chemistry Reviews 253, pp. 2920-2934, 2009.

P.-S. Seo, J.-J. Jeong, L. Zeng, C. G. Takoudis, B. J. Quinn, A. A. Khan, T. Hanada and A. H. Chishti,

―Alternatively Spliced Exon 5 of the FERM domain of Protein 4.1R Encodes a Novel Ninding Site for

Erythrocyte p55 and is Critical for Membrane Targeting in Epithelial Cells,‖ Biochimica et Biophysica Acta -

Molecular Cell Research 1793, pp. 281-289, 2009.

W. W. Chian, C. G. Takoudis, S. H. Lee, A. Weis-McNulty, R. Glick and N. Alperin, ―Relationship between

Ventricular Morphology and Aqueductal Cerebrospinal Fluid Flow in Healthy and Communicating

Hydrocephalus,‖ Investigative Radiology 44, pp. 192-199, 2009.

P.-S. Seo, B. J. Quinn, A. A. Khan, L. Zeng, C. G. Takoudis, T. Hanada, A. Bolis, A. Bolino and A. H. Chishti,

―Identification of Erythrocyte p55/MPP1 as a Binding Partner of NF2 Tumor Suppressor Protein/Merlin,‖

Experimental Biology and Medicine 234, pp. 255-262, 2009.

M. Singh, Y. Yang, C. G. Takoudis, A. Tatarenko, G. Srinivasan, P. Kharel and G. Lawes, ―Metalorganic

Chemical Vapor Deposited BiFeO3 Films For Tunable High-frequency Devices,‖ Electrochemical and Solid-State

Letters 12, H161 – H164, 2009.

A. Rasul, J. Zhang, D. Gamota and C. G. Takoudis, ―Flexible High Capacitance Nanocomposite Gate Insulator for

Printed Organic Field Effect Transistors,‖ Thin Solid Films, In press.

M. Singh, Y. Yang, C. G. Takoudis, A. Tatarenko, G. Srinivasan, P. Kharel and G. Lawes, ―Multiferroic BiFeO3

Thin Films for Multifunctional Devices,‖ J. Nanosci. Nanotechnol., In press.

P. Majumder, G. Jursich and C. Takoudis, ―Structural Phase Transformation of Y2O

3 doped HfO

2 Films Grown on

Si Using Atomic Layer Deposition,‖ J. Appl. Phys. 105, 104106/1-104106/6, 2009.

Q. Tao, G. Jursich, P. Majumder, M. W. Walkosz, P. Gu, R. Klie and C. Takoudis, ―Composition-structure-

dielectric Property of Yttrium-doped Hafnium Oxide Films Deposited by Atomic Layer Deposition,‖

Electrochem. Solid State Lett. 12, G50-G53, 2009.


Farhad Ansari

X. Feng, C. S. Sun, X. T. Zhang and F. Ansari, ―Determination of the Coefficient of Thermal Expansion with

Embedded Long-gauge Fiber Optic Sensors,‖ Measurement Science & Technology, Vol.: 21, Issue: 6, 2010.

I. Talebinejad, C. Fischer and F. Ansari, ―Serially Multiplexed FBG Accelerometer for Structural Health

Monitoring of Bridges,‖ Journal of Smart Structures and Systems, Vol. 5, No. 4, pp 345-355, 2009.

A. Iranmanesh, A. Bassam and F. Ansari, ―Post Earthquake Performance Monitoring of a Typical Highway

Overpass Bridge,‖ Journal of Smart Structures and Systems, Vol. 5, No. 4, pp. 495-505, 2009.


134

Christophe Darnault

C. J. G. Darnault and S. Karimpour, ―Fate of Environmental Pollutants,‖ Water Environment Research, 81(10),

pp. 1845-1853, 2009.

C. J. G. Darnault and S. Arjmand, ―Transport and Mixing,‖ Water Environment Research, 81(10), pp. 2019-2019,

2009.


A Polar, J. E. Indacochea and M. L. Wang, ―Sensing Creep Evolution in 410 Stainless Steel by Magnetic

Measurements,‖ Journal of Engineering Materials and Technology, In press.

Craig Foster

R. A. Regueiro and C. D. Foster, ―Bifurcation Analysis for a Rate-sensitive, Non-associative, Three-invariant,

isotropic/kinematic Hardening Cap Plasticity Model for Geomaterials: Part I. Small Strain,‖ International Journal

of Numerical and Analytical Methods in Geomechanics, In press.

Mohsen Issa

M. Issa and R. Alrousan, ―Modeling of Bond Stresses of Overly Bridge Deck System,‖ Journal of Transportation

Research Board, No. 2113, Concrete Materials, pp. 72-82, 2009.

M. Issa and A. Khalil, ―Diffusivity and Permeability of High-Performance Concrete (HPC) for Bridge Decks,‖

Journal of Precast/Prestress Concrete Institute, Vol. 55, No. 2, pp. 82-95, 2010.

Eduard Karpov

E. G. Karpov and I. I. Nedrygailov, ―Nonadiabatic Chemical-to-Electrical Energy Conversion in Heterojunction

Nanostructures,‖ Physical Review B 81, 205443, 2010.

I. I. Nedrygailov and E. G. Karpov, ―Pd/n-SiC Nanofilm Sensor for Molecular Hydrogen Detection in Oxygen

Atmosphere,‖ Sensors & Actuators B, In press.

E. G. Karpov and I. I. Nedrygailov, ―Nonadiabatic Chemical-to-Electrical Energy Conversion in Heterojunction

Nanostructures,‖ Virtual Journal of Nanoscale Science & Technology 21(23), 2010.

E. G. Karpov, S. Chaichenets and W. K. Liu, ―Mechano-Kinetic Coupling Approach for Functional Materials with

Dynamic Internal Structure,‖ Philosophical Magazine Letters 90(7), pp. 471-480, 2010.

E. G. Karpov and I. I. Nedrygailov, ―Solid-State Electric Generator Based on Chemically Induced Internal

Electron Emission in Metal-Semiconductor Heterojunction Nanostructures,‖ Virtual Journal of Nanoscale Science

& Technology 19(24), 2009.

Amid Khodadoust

B. Subramanian, V. Namboodiri, A. P. Khodadoust and D. D. Dionysiou, ―Extraction of Pentachlorophenol from

Soils using Environmentally Benign Lactic Acid Solutions,‖ Journal of Hazardous Materials, Vol. 174, No. 1-3,

pp. 263-269, 2010.

Y. Yukselen-Aksoy, A. P. Khodadoust and K. R. Reddy, ―Destruction of PCB 44 in Spiked Subsurface Soils

using Activated Persulfate Oxidation,‖ Water, Air and Soil Pollution, Vol. 209, No. 1-4, pp. 419-427, 2010.

Jie Lin

L. Long, J. Lin and W. Pu, ―Model-Based Synthesis of Household Travel Survey Data in Small- and Mid-Size

Metropolitan Areas,‖ Transportation Research Record: The Journal of Transportation Research Board 2015, pp.

64-70, ISSN 0361-1981, 2009.

W. Pu and J. Lin, ―Real-Time Estimation of Urban Street Travel Time Using Buses as Speed Sensors,‖

Transportation Research Record: The Journal of Transportation Research Board 2129, pp. 81-89, 2009.

D. T. Barnum, J. M. Gleason, B. Hemily, J. Lin and P. Wang, ―Progressing from Uncertainty to Risk for DEA-

Based Decisions,‖ Journal of the Operational Research Society, 8 pages, doi: 10.1057/jors.2009.120, 2009.


135

J. Lin and M. Ruan, ―Probability Based Bus Headway Regularity Measure,‖ IET Intelligent Transport Systems,

Vol. 3, Issue. 4, pp. 400–408, 2009.

L. Long, J. Lin and K. Proussaloglou, ―Investigating Contextual Variability in Mode Choice in Chicago Using a

Hierarchical Mixed Logit Model,‖ Urban Studies, 15 pages, doi:10.1177/0042098009357965, 2010.

M. Ruan and J. Lin, ―A Synthesis Framework for Generating County Level Freight Data Using Public Sources for

Spatial Autocorrelation Analysis,‖ Transportation Research Record: Journal of Transportation Research Board,

In press.

Michael McNallan

H.-J. Choi, H. T. Bae, M. J. McNallan, Y.-H. Sohn and D.-S. Lim, ―Effect of Hydrogen on the Physical and

Mechanical Properties of Silicon Carbide – Derived Carbon Films,‖ Surface and Coatings Technology, 204, pp

1018-1021, 2009.


S. T. Doherty and A. Mohammadian, ―The Validity of Using Activity Type to Structure Tour-based Scheduling

Models,‖ Transportation, In press.

A. Mohammadian, M. Javanmardi and Y. Zhang, ―Synthetic Household Travel Survey Data Simulation,‖

Transportation Research – Part C: Emerging Technologies, online March 24, 2010,

doi:10.1016/j.trc.2010.02.007, In press.

A. Samimi and A. Mohammadian, ―Health Impacts of Urban Development and Transportation Systems,‖ ASCE

Journal of Urban Planning and Development, online October 2, 2009, http://dx.doi.org/10.1061/(ASCE)UP.1943-

5444.0000020, In press.

M. Z. Frignani, J. Auld, A. Mohammadian, C. A. Williams and P. C. Nelson, ―Urban Travel Route and Activity

Choice Survey: Internet-Based Prompted Recall Activity Travel Survey Using GPS Data,‖ Transportation

Research Record: Journal of the Transportation Research Board, In press.

M. Javanmardi, T. H. Rashidi and A. Mohammadian, ―Household Travel Data Simulation Tool: Software and its

Applications for Impact Analysis,‖ Transportation Research Record: Journal of the Transportation Research

Board, In press.

J. Auld and A. Mohammadian, ―Efficient Methodology for Generating Synthetic Populations with Multiple

Control Levels,‖ Transportation Research Record: Journal of the Transportation Research Board, In press.

S. Yagi and A. Mohammadian, ―An Activity-Based Microsimulation Model of Travel Demand in the Jakarta

Metropolitan Area,‖ Journal of Choice Modelling, Vol. 3, No. 1, pp. 32-57, 2010.

T. H. Rashidi, A. Mohammadian and Y. Zhang, ―How Variation in Household Socio-demographic Attributes,

Life-styles and Built Environment Can Affect Household and Individual Travel Behavior,‖ Transportation

Research Record: Journal of the Transportation Research Board, 2010.

A. Samimi, A. Mohammadian and K. Kawamura, ―A Behavioral Freight Movement Microsimulation Model:

Method and Data,‖ Journal of Transportation Letters: The International Journal of Transportation Research,

2(1), pp. 53-62, 2010.

Y. Zhang and A. Mohammadian, ―Examining Common Distributional Assumptions of Travel Characteristics for

Data Simulation,‖ Transportation Research Record: Journal of the Transportation Research Board, No. 2121,

TRB, National Research Council, Washington D.C., pp. 63-73, 2009.

T. H. Rashidi, H. Z. Aashtiani and A. Mohammadian, ―School Bus Routing Problem in Large-Scale Networks:

New Approach Utilizing Tabu Search on a Case Study in Developing Countries,‖ Transportation Research

Record: Journal of the Transportation Research Board, No. 2137, TRB, National Research Council, Washington

D.C., pp. 140-147, 2009.

J. Auld, A. Mohammadian and M. Roorda, ―Implementation of Scheduling Conflict Resolution Model in an

Activity Scheduling System,‖ Transportation Research Record: Journal of the Transportation Research Board,

No. 2135, TRB, National Research Council, Washington D.C., pp. 96-105, 2009.


136

J. Auld, A. Mohammadian and K. Wies, ―Population Synthesis with Sub-Region-Level Control Variable

Aggregation,‖ ASCE Journal of Transportation Engineering, Vol. 135, Issue 9, pp. 632-639, 2009.

J. Auld and A. Mohammadian, ―Framework for the Development of the Agent-Based Dynamic Activity Planning

and Travel Scheduling (ADAPTS) Model,‖ Journal of Transportation Letters: The International Journal of

Transportation Research, Vol. 1(3), pp. 245-255, 2009.

C. A. Williams, P. C. Nelson and A. Mohammadian, ―Attribute Constrained Rules for Partially Labeled Sequence

Completion,‖ Advances in Data Mining - Applications and Theoretical Aspects, Lecture Notes in Computer

Science, Vol. 5633, P. Perner, Editor, Springer-Verlag Berlin Heidelberg, pp. 338-352, 2009.

Krishna Reddy

Y. Yukselen-Aksoy, A. P. Khodadoust and K. R. Reddy, ―Destruction of PCB 44 in Spiked Subsurface Soils

using Activated Persulfate Oxidation,‖ Water, Air and Soil Pollution, Vol. 209, No. 1-4, pp. 419-427, 2010.

K. R. Reddy, C. Cameselle and P. R. Ala, ―Integrated Electrokinetic-Flushing to Remove Mixed Organic and Metal

Contaminants,‖ Journal of Applied Electrochemistry, Vol. 40, No. 6, pp. 1269-1279, 2010.

K. R. Reddy, ―Technical Challenges to In-Situ Remediation of Polluted Sites,‖ Geotechnical and Geological

Engineering Journal, Vol. 28, No. 3, pp. 211-221, 2010.

K. R. Reddy, S. Danda and Y. Yükselen-Aksoy, ―Sequestration of Heavy Metals in Soils from Two Polluted

Industrial Sites: Implications on Remediation,‖ Land Contamination and Reclamation Journal, Vol.18, No.1, pp. 13-

23, 2010.

G. L. Sivakumar Babu, K. R. Reddy, S. K. Chouskey and H. S. Kulkarni, ―Prediction of Long-term Municipal

Solid Waste Landfill Settlement Using Constitutive Model,‖ Practice Periodical of Hazardous, Toxic, and

Radioactive Waste Management, ASCE, Vol.14, No. 2, pp. 139-150, 2010.

K. S. Richards and K. R. Reddy, ―Development of True Triaxial Apparatus for Determining Piping Potential in Earth

Structures,‖ Geotechnical Testing Journal, ASTM, Vol. 33, No.1, pp. 83-95, 2010.

K. R. Reddy, T. D. Stark and A. Marella, ―Beneficial Use of Shredded Tires as Drainage Material in Cover Systems

for Abandoned Landfills,‖ Practice Periodical of Hazardous, Toxic and Radioactive Waste Management, ASCE,

Vol.14, No.1, pp. 47-60, 2010.

G. G. Sivakumar Babu, K. R. Reddy and S. K. Chouskey, ―Constitutive Model for Municipal Solid Waste

Incorporating Mechanical Creep and Biodegradation-Induced Compression,‖ Waste Management Journal, Vol.

30, No.1, pp. 11-22, 2010.

K. R. Reddy and K. S. Chandhuri, ―Fenton-like Oxidation of PAHs in Clayey Soils Using Electrokinetics,‖

Journal of Geotechnical and Geoenvironmental Engineering, ASCE, Vol.135, No.10, pp. 1429-1439, 2009.

K. R. Reddy, K. Maturi and C. Cameselle, ―Sequential Electrokinetic Remediation of Mixed Contaminants in

Low Permeability Soils,‖ Journal of Environmental Engineering, ASCE, Vol. 135, No.10, pp. 989-998, 2009.

K. R. Reddy, H. Hettiarachchi, J. Gangathulasi, N. Parakalla, J. E. Bogner and T. Lagier, ―Geotechnical Properties

of Landfilled Municipal Solid Waste Under Short-Term Leachate Recirculation Operations,‖ Waste Management

& Research, Vol. 27, No. 6, 2009, pp. 578-587, 2009.

M. Pantazidou, A. Katsiri and K. R. Reddy, ―Evaluating Management Options for the Disposal of Dredged

Sediments,‖ Journal of ASTM International, Vol. 6, No. 6, pp. 1-14, 2009.

K. R. Reddy, H. Hettiarachchi, J. Gangathulasi, J. E. Bogner and T. Lagier, ―Geotechnical Properties of Synthetic

Municipal Solid Waste,‖ International Journal of Geotechnical Engineering, Vol. 3, No. 3, pp. 429-438, 2009.

K. Maturi, K. R. Reddy and C. Cameselle, ―Surfactant-enhanced Electrokinetic Remediation of Mixed

Contamination in Low Permeability Soils,‖ Separation Science & Technology, Vol. 44, No. 10, pp. 2385-2409,

2009.

K. R. Reddy, H. Hettiarachchi, N. Parakalla, J. Gangathulasi, J. E. Bogner and T. Lagier, ―Hydraulic Conductivity

of MSW in Landfills,‖ Journal of Environmental Engineering, ASCE, Vol.135, No. 8, pp. 677-683, 2009.


137

Karl Rockne

K. Yin, P. Viana and K. Rockne, ―Characterization, Performance Modeling and Design of an Active Capping

Remediation Project in a Heavily Polluted Urban Channel,‖ Sci. Total Environ.

doi:10.1016/j.scitotenv.2010.03.053, 2010.

M. Mittal and K. J. Rockne, ―Diffusional Losses of Amended Anaerobic Electron Acceptors in Sediment Field

Microcosms,‖ Mar. Pollut. Bull, doi:10.1016/j.marpolbul.2010.03.026, 2010.

H. Wei, R. Yang, A. Li, E. Christensen and K. J. Rockne, ―Gas Chromatographic Retention of 180

Polybrominated Diphenyl Ethers and Prediction of Relative Retention Under Various Operational Conditions,‖ J.

Chromatography A, 17:2964-72, 2010.

COMPUTER SCIENCE

Tanya Berger-Wolf

S. I. Sheikh, T. Y. Berger-Wolf, A. Khokhar, I. C. Caballero, M. V. Ashley, W. Chaovalitwongse, C.-A. Chou and

B. DasGupta, ―Combinatorial Reconstruction of Half-sibling Groups from Microsatellite Data,‖ Journal of

Bioinformatics and Computational Biology: Selected Papers from CSB, 8(2), 2009.

M. V. Ashley, T. Y. Berger-Wolf, W. Chaovalitwongse, B. DasGupta, A. Khokhar and S. I. Sheikh, ―On

Approximating an Implicit Cover Problem in Wild Population Study,‖ Discrete Mathematics, Algorithms and

Applications, 2(1):21-31, 2010.

H. Habiba, T. Y. Berger-Wolf, Y. Yu and J. Saia, ―Finding Spread Blockers in Dynamic Networks,‖ Advances in

Social Network Mining and Analysis - the Second SNA-KDD Workshop at KDD 2, Springer LNCS, In press.

M. Lahiri and T. Y. Berger-Wolf, ―Mining Periodic Behavior in Dynamic Social Networks,‖ Journal of

Knowledge and Information Systems, In press.

Ugo Buy

N. Wightkin, U. Buy and H. Darabi, ―Time Petri Net Translation of Sequential Function Charts,‖ IEEE

Transactions on Control Systems Technology, In press.

O. Ghica, G. Trajcevski, O. Wolfson, U. Buy, P. Scheuermann, F. Zhou and D. Vaccaro, ―Trajectory Data

Reduction in Wireless Sensor Networks,‖ International Journal of Next-Generation Computing (IJNGC), Vol. 1,

No. 1, In press.

Bhaskar DasGupta

S. I. Sheikh, T. Y. Berger-Wolf, A. A. Khokhar, I. C. Caballero, M. V. Ashley, W. Chaovalitwongse, C.-A. Chou

and B. DasGupta, ―Combinatorial Reconstruction of Half-sibling Groups from Microsatellite Data,‖ Journal of

Bioinformatics and Computational Biology, Vol. 8, No. 2, pp. 337-356, 2010.

M. V. Ashley, T. Y. Berger-Wolf, W. Chaovalitwongse, B. DasGupta, A. Khokhar and S. Sheikh, ―On


Applications, Vol. 2, No. 2, pp. 21-31, 2010.

W. Chaovalitwongse, C.-A. Chou, T. Berger-Wolf, B. DasGupta, S. Sheikh, M. Ashley and I. Caballero, ―New

Optimization Model and Algorithm for Sibling Reconstruction from Genetic Markers,‖ INFORMS Journal of

Computing, Vol. 22, No. 2, pp. 180-194, 2010.

M. Ashley, T. Berger-Wolf, P. Berman, W. Chaovalitwongse, B. DasGupta and M.-Y. Kao, ―On Approximating

Four Covering and Packing Problems,‖ Journal of Computer & System Sciences, Vol. 75, No. 5, pp. 287-302,

2009.

Barbara Di Eugenio

D. Fossati, B. Di Eugenio, C. Brown, S. Ohlsson, D. Cosejo and L. Chen, ―Supporting Computer Science

Curriculum: Exploring and Learning Linked Lists with iList,‖ IEEE Transactions on Learning Technologies, Vol.

2 (2), pp. 107-120, 2009.


138

B. Di Eugenio, Z. Xie and R. Serafin, ―Dialogue Act Classification, Instance-Based Learning and Higher-Order

Dialogue Structure,‖ Journal of Discourse and Dialogue Research, In press.

Andrew Johnson

B. Jeong, J. Leigh, A. Johnson, L. Renambot, R. Jagodic, S. Nam and H. Hur, ―Ultrascale Collaborative

Visualization in Display-Rich Global Cyberinfrastructure,‖ IEEE Computer Graphics and Applications, Vol. 30.3,

pp. 71-83, 2010.

J. Leigh, A. Johnson and L. Renambot, ―Advances in Computer Displays,‖ Advances In Computers, Vol. 77,

Elsevier/Morgan Kaufman, pp. 58-79, 2009.

Robert Kenyon

K. Dokka, R. V. Kenyon, E. A. Keshner and K. P. Kording, ―Self versus Environment Motion in Postural

Control,‖ PLoS Computational Biology. 6(2): e1000680, 2010.

L. Connelly, Y. Jia, M. L. Toro, M. E. Stoykov, R. V. Kenyon and D. G. Kamper, ―Use of a Pneumatic Glove and

Immersive Virtual Reality for Hand Rehabilitation Following Stroke,‖ IEEE Transactions On Neural Systems &

Rehabilitation Engineering, In press.

S. Gurses, R. V. Kenyon and E. A. Keshner, ―Examination of Time-Varying Kinematic Responses to Support

Surface Disturbances,‖ Biomedical Signal Processing and Control, In press.

Y. Wang, R. V. Kenyon and E. A. Keshner, ―Identifying the Control of Physically and Perceptually Evoked Sway

Responses with Coincident Visual Scene Velocities and Tilt of the Base of Support,‖ Exp Brain Res. 201(4):663-

72, 2010.

Ajay Kshemkalyani

Z. Zhang, A. Kshemkalyani and S. Shatz, ―Dynamic Multi-Root Multi-Query Processing Based on Data Sharing

in Sensor Networks,‖ ACM Transactions on Sensor Networks, In press.

A. Kshemkalyani, ―Fast and Message-Efficient Global Snapshot Algorithms for Large-Scale Distributed

Systems,‖ IEEE Transactions on Parallel and Distributed Systems, In press.

Jason Leigh

B. Jeong, J. Leigh, A. Johnson, L. Renambot, M. Brown, R. Jagodic, S. Nam and H. Hur, ―Ultrascale

Collaborative Visualization Using a Display-Rich Global Cyberinfrastructure,‖ IEEE Computer Graphics and

Applications, doi:10.1109/MCG.45, 2010.

Bing Liu

Bing Liu, ―Sentiment Analysis: A Multifaceted Problem,‖ IEEE Intelligent Systems, In press.

Peter Nelson

M. Z. Frignani, J. Auld, A. Mohammadian, C. A. Williams and P. C. Nelson, ―Urban Travel Route and Activity

Choice Survey: Internet-Based Prompted Recall Activity Travel Survey Using GPS Data,‖ Transportation

Research Record: Journal of the Transportation Research Board, In press.

C. A. Williams, P. C. Nelson and A. Mohammadian, ―Attribute Constrained Rules for Partially Labeled Sequence

Completion,‖ Advances in Data Mining - Applications and Theoretical Aspects, Lecture Notes in Computer

Science, Vol. 5633, P. Perner, Editor, Springer-Verlag Berlin Heidelberg, pp. 338-352, 2009.

Sol Shatz

F. Dong, S. M. Shatz and H. Xu, ―Reasoning Under Uncertainty for Shill Detection in Online Auctions Using

Dempster-Shafer Theory,‖ International Journal of Software Engineering and Knowledge Engineering (IJSEKE),

In press.

B. J. Ford, H. Xu, C. K. Bates and S. M. Shatz, ―Visual Specification of Layered Bidding Strategies for

Autonomous Bidding Agents,‖ Journal of Computers, In press.

http://www.ncbi.nlm.nih.gov/pubmed?term=%22Wang%20Y%22%5BAuthor%5D

http://www.ncbi.nlm.nih.gov/pubmed?term=%22Kenyon%20RV%22%5BAuthor%5D

http://www.ncbi.nlm.nih.gov/pubmed?term=%22Keshner%20EA%22%5BAuthor%5D


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F. Dong, S. M. Shatz and H. Xu, ―Combating Online In-Auction Fraud: Clues, Techniques and Challenges,‖

Computer Science Review, Vol. 3, Issue 4, pp. 245-258, 2009.

Z. Zhang, A. Kshemkalyani and S. M. Shatz, ―Dynamic Multi-Root, Multi-Query Processing Based on Data

Sharing in Sensor Networks,‖ ACM Transactions on Sensor Networks, In press.

J. Lian, S. M. Shatz and X. He, ―Flexible Coordinator Design for Modeling Resource Sharing in Multi-Agent

Systems,‖ Journal of Systems and Software, Vol. 82, Issue 10, pp. 1709 – 1729, 2009.

S. Tian, S. M. Shatz, Y. Yu and J. Li, ―Querying Sensor Networks Using Ad-hoc Mobile Devices: A Two Layer

Networking Approach,‖ Ad Hoc Networks, Vol. 7, Issue 5, pp. 1014 – 1034, 2009.

A. Prasad Sistla

R. Chadha, A. P. Sistla and M. Viswanatahan, ―On the Expressiveness and Complexity of Randomization in

Finite State Probabilistic Monitors,‖ JACM, 2009.

Robert Sloan

M. Langlois and R. H. Sloan, ―Reinforcement Learning via Approximation of the Q- function,‖ Journal of

Experimental & Theoretical Artificial Intelligence, In press.

M. Langlois, R. H. Sloan and G. Turán, ―Horn Upper Bounds and Renaming,‖ JSAT: Journal on Satisfiability,

Boolean Modeling and Computation, Vol. 7, pp. 1–15, 2009.


P. Bisht, P. Madhusudan and V. N. Venkatakrishnan, ―CANDID: Dynamic Candidate Evaluations for Automatic

Prevention of SQL Injection Attacks,‖ ACM Transactions on Information & Systems Security (TISSEC), Vol. 13,

No 2, 2010.

Ouri Wolfson

B. Xu, O. Wolfson and C. Naiman, ―Machine Learning in Disruption-Tolerant MANET‘s,‖ Special issue of the

ACM Transactions on Autonomous and Adaptive Systems (TAAS) on Autonomic Communication, Vol. 4, No. 4,

Article 23, pp. 1-36, 2009.

O. Ghica, G. Trajcevski, O. Wolfson, U. Buy, P. Scheuermann, F. Zhou and D. Vaccaro, ―Trajectory Data

Reduction in Wireless Sensor Networks,‖ International Journal of Next-Generation Computing (IJNGC), Vol. 1,

No. 1, In press.

P. Szczurek, B. Xu, J. Lin and O. Wolfson, ―Spatio-temporal Information Ranking in VANET Applications,‖

International Journal of Next-Generation Computing (IJNGC), Vol. 1, No. 1, In press.

Clement Yu

B. L. Lambert, L. W. Dicke, W. M. Fisher, R. D. Gibbons, S.-J. Lin, P. A. Luce, C. T. McLennan, J. W. Senders

and C. T. Yu, ―Listen Carefully: The Risk of Error in Spoken Medication Orders,‖ Social Science & Medicine, pp.

1-10, 2010.

Philip Yu

M. Vlachos and S. S. Kozat and P. S. Yu, ―Optimal Distance Bounds for Fast Search on Compressed Time-Series

Query Logs,‖ ACM Transactions on the Web, Vol. 4, No. 2, 2010.

J. H. Su, H. H. Yeh, P. S. Yu and V. S. Tseng, ―Music Recommendation Using Content and Context Information

Mining,‖ IEEE Intelligent Systems, Vol. 25, No. 1, pp. 16-26, 2010.

H. Liu, P. S. Yu, N. Agarwal and T. Suel, ―Social Computing in the Blogosphere,‖ IEEE Internet Computing,

Vol. 14, No. 2, pp. 12-14, 2010.

W. Li, W. K. Ng, X. H. Dang, P. S. Yu and K. Zhang, ―Density-Based Clustering of Data Streams at Multiple

Resolutions,‖ ACM Trans. Knowledge Discovery from Data, Vol. 3, No. 3, 2009.

C. Chen, X. Yan, F. Zhu, J. Han, P. S. Yu, ―Graph OLAP: A Multi-dimensional Framework for Graph Data

Analysis,‖ Knowledge and Information Systems, Vol. 21. No. 1, pp. 41-63, 2009.


140

V. Hristidis, O. Valdivia, M. Vlachos and P. S. Yu, ―Information Discovery across Multiple Streams,‖

Information Science, Vol. 179, No. 19, pp. 3268-3285, 2009.

G. Luo, K. L. Wu and P. S. Yu, ―Answering Linear Optimization Queries with an Approximate Stream Index,‖

Knowledge and Information Systems, Vol. 20, No. 1, pp. 95-121, 2009.

S. S. Kozat, M. Vlachos, C. Lucchese, H. Van Herle and P. S. Yu, ―Embedding and Retrieving Private Metadata

in Electrocardiograms,‖ Journal of Medical Systems, Vol. 33, No. 4, 2009, pp. 241-259.

B. C. M. Fung, K. Wang, R. Chen and P. S. Yu, ―Privacy-preserving Data Publishing: A Survey on Recent

Developments,‖ ACM Computing Surveys, In press.

C. Aggarwal and P. S. Yu, ―On Clustering Massive Text and Categorical Data Streams,‖ Knowledge and

Information Systems, 24(2):171-196, 2010.

B. Gedik, K. L. Wu, L. Liu and P. S. Yu, ―Load Shedding in Mobile Systems with MobiQual,‖ IEEE Trans.

Knowledge and Data Engineering, In press.

J. H. Su, W. J. Huang, P. S. Yu and V. S. Tseng, ―Efficient Relevance Feedback for Content-based Image

Retrieval by Mining User Navigation Patterns,‖ IEEE Trans. Knowledge and Data Engineering, In press.

J. F. Cheng, J. X. Yu and P. S. Yu, ―Graph Pattern Matching: A Join/Semijoin Approach,‖ IEEE Trans.


L. C. Chen, P. S. Yu and V. S. Tseng, ―WF-MSB: A Weighted Fuzzy-based Biclustering Method for Gene

Expression Data,‖ International Journal of Data Mining and Bioinformatics (IJDMB), In press.


Rashid Ansari

S. Ababneh, R. Ansari and A. Khokhar, ―Iterative Compensation Schemes for Multimedia Content

Authentication,‖ Journal of Visual Communication and Image Representation, Vol. 20, Issue 5, pp. 303-311,

2009.

R. Yellapantula, Y. Yao and R. Ansari, ―Antenna Selection and Power Control in MIMO Systems with

Continuously Varying Channels,‖ IEEE Communications Letters, Vol. 13, Issue 7, pp. 480 - 482, 2009.

I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik and M. Shahidi, ―Regularized Estimation of Retinal Vascular Oxygen

Tension from Phosphorescence Images,‖ IEEE Transactions on Biomedical Engineering, Vol. 56, Issue 8, pp.

1989-1995, 2009.

S. Ababneh, R. Ansari and A. Khokhar, ―Compensated Signature Embedding for Multimedia Content

Authentication,‖ ACM Journal of Data and Information Quality, Vol. 1, No. 3, pp. 17:1-17:20, 2009.

Masud Chowdhury

J. Xu and M. H.Chowdhury, ―Fast Waveform Estimation (FWE) for Timing Analysis,‖ IEEE, In press.

M. H. Chowdhury, P. Khaled and J. Gjanci, ―An Innovative Power Gating Technique for Leakage and Ground

Bounce Control in System-on-a-Chip (SOC),‖ Journal of Circuits, Systems & Signal Processing (CSSP),

Birkhäuser, Springer, In press.

J. Xu and M. H. Chowdhury, ―Circuit Level Issues of Interconnect Pipelining in Nanoscale Integrated Circuits,‖

Journal of Micro and Nano Systems (MNS), Bentham Science Publishers Ltd, In press.

A. Roy, J. Xu and M. H. Chowdhury, ―Analysis of the Impacts of Signal Slew and Skew on the Behavior of

Coupled RLC Interconnects for Different Switching Patterns,‖ IEEE Transactions on Very Large Scale

Integration Systems (TVLSI), Vol. 18, No. 2, pp. 338-342, 2010.

Md. S. Rahaman and M. H. Chowdhury, ―Energy Efficiency of Error Control Coding in Intra-Chip RF/Wireless

Interconnect Systems,‖ Microelectronics Journal, Elsevier, Vol. 41, No 1, pp. 33-40, 2010.


141

Natasha Devroye

T. Koike-Akino, N. Devroye and V. Tarokh, ―Frequency-Domain Bit-Flipping Equalizer for Wideband MIMO

Channels,‖ IEEE Trans. Wireless Comm., Vol. 8, No.10, pp. 4969-4973, 2009.

M.Vu, N. Devroye and V. Tarokh, ―On the Primary Exclusive Region of Cognitive Networks,‖ IEEE Trans.

Wireless Comm., Vol. 8, No.7, pp. 3380-3385, 2009.

I. Krikidis, N. Devroye and J. Thompson, ―Stability Analysis for Cognitive Radio with Multi-Access Primary

Transmission,‖ IEEE Trans. Wireless Comm., Vol. 9, No.1, pp. 72-77, 2010.

Mitra Dutta

K. Sun, M. Vasudev, H.-S. Jung, J. Yang, A. Kar, Y. Li, K. Reinhardt, P. Snee, M. A. Stroscio and M. Dutta,







Tin Oxide Nanowires Prepared by Vapor-liquid-solid Technique,‖ Nanotechnology, 20, 065704, 2009.


Complexes as Tools for THz Spectral Studies of DNA,‖ IEEE Sensors Journal, 10, 524-530 (2010).

A. Kar, M. A. Stroscio, M. Dutta, J. Kumari and M. Meyyappan, ―Observation of UV Emission, and Effect of

Surface States on the Luminescence from Tin Oxide Nanowires,‖ Applied Physics Letters, 94, 101905-101907,

2009.


Molecules,‖ Journal of Applied Physics, 106, 033702-1-8; also published in Virtual Journal of Biological Physics

Research, 8(4), 2009.






2009.



Danilo Erricolo

L. Lo Monte, D. Erricolo, F. Soldovieri and M. C. Wicks, ―Radio Frequency Tomography for Tunnel Detection,‖

IEEE Trans. Geoscience and Remote Sensing, Vol. 48, No. 3, pp. 1128-1137, 2010.

L. Lo Monte, D. Erricolo, F. Soldovieri and M. C. Wicks, ―Wide Range Underground Imaging using RF

Tomography and Lateral Waves,‖ IEEE Geoscience and Remote Sensing Lett., Vol. 7, No. 3, pp. 496-500, 2010.

Siddhartha Ghosh

K. Banerjee Q. Duan, S. Ghosh, E. Plis, H. Kim and S. Krishna, ―XPS Surface Studies on LWIR Type II SLS

Detector Structures,‖ Journal of Electronic Materials, In press.

K. Banerjee, S. Mallick, S. Ghosh, E. Plis and S. Krishna, ―Electrical Characterization of Different Passivation

Treatments for Long-Wave Infrared InAs/GaSb Strained Layer Superlattice Photodiodes,‖ Journal of Electronic

Materials, 38(9):1944-1947, 2009.


142

Ashfaq Khokhar



Applications, In press.

S. I. Sheikh, T. Y. Berger-Wolf, A. Khokhar, I. C. Caballero, C. A. Chou, M. V. Ashley, W. Chaovalitwongse and

B. DasGupta, ―Combinatorial Reconstruction of Half-Sibling Groups,‖ Journal of Bioinformatics and

Computational Biology, 8(2):337-56, 2010.

H. Wang, X. Zhang, F. Nait-Abdesselam and A. Khokhar, ―Cross-layer Optimized MAC to Support Multihop

QoS routing for Wireless Sensor Networks,‖ IEEE Transactions on Vehicular Technology, 59(5):2556–2563,

2010.

X. Ma, D. Schonfeld and A. Khokhar, ―Video Event Classification and Image Segmentation Based on Non-causal

Multi-dimensional Hidden Markov Models,‖ IEEE Transactions on Image Processing, Vol. 18, pp. 1304-1313,

2009.

Gyungho Lee

Y. Shi and G. Lee, ―Access Region Cache with Register Guided Memory Reference Partitioning,‖ Journal of

System Architecture, Vol. 55, No.10-12, pp. 434-455, 2009.

G. Lee, Y. Shi and H. Lin, ―Indirect Branch Validation Unit,‖ Microprocessors and Microsystems, Vol. 33, No. 7-

8, pp. 461-468, 2009.

James Lin

J. C. Lin, P. Bernardi and J. B. Andersen, ―The Formation and Early Years of URSI Commission K on

Electromagnetics in Biology and Medicine,‖ Radio Science Bulletin, No. 330, pp. 51-59, 2009.


Söderberg, B. Stuck, A. Swerdlow, B. Veyret, M. Repacholi and G. Ziegelberger, ―ICNIRP statement on the

‗Guidelines for Limiting Exposure to Time-varying Electric, Magnetic and Electromagnetic Fields (up to 300

GHz),‘‖ Health Phys. 97(3), pp. 257-258, 2009.


Söderberg, B. Stuck, A. Swerdlow, B. Veyret, M. Repacholi and G. Ziegelberger, ―Amendment to the ICNIRP

‗Statement on Medical Magnetic Resonance (MR) Procedures: Protection of Patients,‘‖ Health Phys. 97(3), pp.

259-261, 2009.

J. C. Lin and Z. W. Wang, ―Acoustic Pressure Waves Induced in Human Heads by RF Pulses from High-Field

MRI Scanners,‖ Health Phys. 98(4), pp. 603-613, 2010.

J. C. Lin, ―Health Aspects and Exposure Standards for the Physical Layer of Mobile Communication,‖ ICaST

Magazine, In press.

E. Piuzzi, P. Bernardi, M. Cavagnaro, S. Pisa, and J. C. Lin, ―Analysis of Adult and Child Exposure to Fixed

Stations of Mobile Communication Systems (900 MHz – 3 GHz),‖ IEEE Trans. Electromagnetics Compatibility,

In press.

Derong Liu

C. Song, J. Ye, D. Liu and Q. Kang, ―Generalized Receding Horizon Control of Fuzzy Systems Based on

Numerical Optimization Algorithm,‖ IEEE Transactions on Fuzzy Systems, Vol.17, No. 6, pp. 1336-1352, 2009.

H. Zhang, Y. Luo and D. Liu, ―Neural-network-based near-optimal Control for a Class of Discrete-time Affine

Nonlinear Systems with Control Constraints,‖ IEEE Transactions on Neural Networks, Vol. 20, No. 9, pp. 1490-

1503, 2009.

T. Huang, H. Javaherian and D. Liu, ―Nonlinear Torque and Air-to-fuel Ratio Control of Spark Ignition Engines

using Neuro-sliding Mode Technique,‖ International Journal of Neural Systems, In press.


143

Sudip K. Mazumder

R. Huang and S. K. Mazumder, ―A Soft Switching Scheme for Multiphase dc/pulsating-dc Converter for Three-

phase High-frequency-link PWM Inverter,‖ IEEE Transactions on Power Electronics, In press.

S. K. Mazumder and T. Sarkar, ―Optically-activated Gate Control for Power Electronics,‖ IEEE Transactions on

Power Electronics, In press.

T. Sarkar and S. K. Mazumder, ―Photonic Compensation of Temperature-induced Drift of SiC-DMOSFET

Switching Dynamics,‖ IEEE Power Electronics Letters, In press.

S. K. Mazumder, R. Burra, R. Huang, M. Tahir, K. Acharya, G. Garcia, S. Pro, O. Rodrigues and E. Duheric, ―A

High-efficiency Universal Grid-connected fuel-cell inverter for Residential Application,‖ IEEE Transactions on

Power Electronics, In press.

S. K. Mazumder, R. Huang and K. Acharya, ―Rotor Position Feedback Over an RF link for Motor Speed

Control,‖ IEEE Power Electronics Letters, Vol. 25, No. 4, pp. 907-913, 2010.

S. K. Mazumder, M. Tahir and K. Acharya, ―An Integrated Modeling Framework for Exploring Network

Reconfiguration of Distributed Controlled Homogenous Power Inverter Network Using Composite Lyapunov

Function Based Reachability Bound,‖ Transactions of The Society for Modeling and Simulation International,

Vol. 86, No. 2, pp. 75-92, 2010.

S. K. Mazumder and S. Pradhan, ―Efficient and Robust Power Management of Reduced Cost Distributed Power

Electronics for Fuel-cell Power System,‖ ASME Journal of Fuel Cell Science and Technology, Vol. 7, pp.

011018-1–011018-11, 2010.

M. Tahir and S. K. Mazumder, ―Experimental Evaluation of Optimal Rate Delay and Power Allocation Algorithm

in Wireless Control Networks,‖ Journal of Electrical and Computer Engineering, Vol. 2010, Article ID 650756,

doi:10.1155/2010/650756, pp. 1-5, 2010.

R. Huang and S. K. Mazumder, ―A Soft-switching Scheme for an Isolated dc/dc Converter with Pulsating dc

Output for a Three-phase High-frequency-link PWM Converter,‖ IEEE Transactions on Power Electronics, Vol.

24, No. 10, pp. 276-2288, 2009.

C. M. Tan and S. K. Mazumder, ―Design of a Hybrid Controller ASIC for a VRM using 90 nm CMOS Process,‖

IEEE Transactions on Industrial Electronics, Vol. 24, No. 9, pp. 2219-2230, 2009.

S. K. Mazumder, K. Acharya and M. Tahir, ―Joint Optimization of Control Performance and Network Resource

Utilization in Homogeneous Power Networks,‖ IEEE Transactions on Industrial Electronics, Vol. 56, No. 5, pp.

1736-1745, 2009.

Vitali Metlushko

P. Vavassori, M. Gobbi, M. Donolato, M. Cantoni, R. Bertacco, V. Metlushko and B. Ilic, ―Magnetic

Nanostructures for the Manipulation of Individual Nanoscale Particles in Liquid Environments,‖ J. Appl. Phys.

107, 09B301, 2010.

T. Shapoval, V. Metlushko, M. Wolf, B. Holzapfel, V. Neu and L. Schultz, ―Direct Observation of

Superconducting Vortex Clusters Pinned by a Periodic Array of Magnetic Dots in Ferromagnetic/Superconducting

Hybrid Structures,‖ Phys. Rev. B, 092505, Vol. 81, 2010.

A. A. Awad, K. Y. Guslienko, J. F. Sierra, G. N. Kakazei, V. Metlushko and F. G. Aliev,

―Precise Probing Spin Wave Mode Frequencies in the Vortex State of Circular Magnetic Dots,‖ Applied Physics

Letters 96, 012503, 2010.

M. Donolato, M. Gobbi, P. Vavassori, M. Leone, M. Cantoni, V. Metlushko, B. Ilic, M. L. Zhang, S. X. Wang

and R. Bertacco, ―Nanosized Corners for Trapping and Detecting Magnetic Nanoparticles,‖ Nanotechnology, Vol.

20, 385501, 2009.

J. Van de Vondel, A. V. Silhanek, B. Raes, W. Gillijns, R. B. G. Kramer, V. V. Moshchalkov, J. Sautner and V.

Metlushko, ―Magnetically Controlled Superconducting Weak Links,‖ Applied Physics Letters, Vol. 95, 2009.


144

C. C. Tsai, J. Choi, Sunglae Cho, S. J. Lee, B. K. Sarma, C. Thompson, O. Chernyashevskyy, I. Nevirkovets, V.

Metlushko, K. Rivkin and J. B. Ketterson, ―Vortex Phase Boundaries from Ferromagnetic Resonance

Measurements in a Patterned Disc Array,‖ Phys. Rev. B 80, 014423, 2009.

K. Rivkin, I. P Nevirkovets, O. Chernyashevskyy, J. B. Ketterson, B. K. Sarma and V. Metlushko, ―Damping and

Modal Structure of Patterned Magnetic Nanoarrays, Journal of Magnetism and Magnetic Materials 321, 3324-

3329, 2009.

Michael Stroscio

K. Sun, M. Vasudev, H.-S. Jung, J. Yang, A. Kar, Y. Li, K. Reinhardt, P. Snee, M. A. Stroscio, and M. Dutta,







Tin Oxide Nanowires Prepared by Vapor-liquid-solid Technique,‖ Nanotechnology, Nanotechnology, 20, 065704,

2009.


Complexes as Tools for THz Spectral Studies of DNA,‖ IEEE Sensors Journal, 10, pp. 524-530, 2010.


Molecules,‖ Journal of Applied Physics, 106, 033702-1-8, also published in Virtual Journal of Biological Physics

Research, 8(4), 2009.






2009.



P. L. E. Uslenghi

P. L. E. Uslenghi, ―Optical Behavior of Elliptical Lenses made of DNG Metamaterial,‖ IEEE Antennas and

Wireless Propagat. Letters, Vol. 9, doi:10.1109/LAWP, 2052342, 2010.

P. L. E. Uslenghi, ―A Miniaturized Parallelepipedal Cavity Resonator,‖ IEEE Antennas and Wireless Propagat.

Letters, Vol. 9, In press.

HungYu Yang

H. Y. D. Yang and Y. Zhang, ―A Wideband Miniaturized Dipole Antennas on a Printed Circuit Board,‖ PIER C

No. 10, pp. 175-185, 2009.

Y. Zhang and H.Y. D. Yang, ―Bandwidth Enhanced Electrically Small Printed Folded Dipoles,‖ IEEE Antennas

and Wireless Propagation Letters, Vol. 9, pp. 236-239, 2010.

Yingwei Yao

R. Yellapantula, Y. Yao and R. Ansari, ―Antenna Selection and Power Control in MIMO Systems with

Continuously Varying Channels,‖ IEEE Communications Letters, Vol. 13, No. 7, pp. 480-482, 2009.


145

Philip Yu

M. Vlachos and S. S. Kozat and P. S. Yu, ―Optimal Distance Bounds for Fast Search on Compressed Time-Series

Query Logs,‖ ACM Transactions on the Web, Vol. 4, No. 2, 2010.

J. H. Su, H. H. Yeh, P. S. Yu and V. S. Tseng, ―Music Recommendation Using Content and Context Information

Mining,‖ IEEE Intelligent Systems, Vol. 25, No. 1, pp. 16-26, 2010.

H. Liu, P. S. Yu, N. Agarwal and T. Suel, ―Social Computing in the Blogosphere,‖ IEEE Internet Computing,

Vol. 14, No. 2, pp. 12-14, 2010.

W. Li, W. K. Ng, X. H. Dang, P. S. Yu and K. Zhang, ―Density-Based Clustering of Data Streams at Multiple

Resolutions,‖ ACM Trans. Knowledge Discovery from Data, Vol. 3, No. 3, 2009.

C. Chen, X. Yan, F. Zhu, J. Han, P. S. Yu, ―Graph OLAP: A Multi-dimensional Framework for Graph Data

Analysis,‖ Knowledge and Information Systems, Vol. 21. No. 1, pp. 41-63, 2009.

V. Hristidis, O. Valdivia, M. Vlachos and P. S. Yu, ―Information Discovery across Multiple Streams,‖

Information Science, Vol. 179, No. 19, pp. 3268-3285, 2009.

G. Luo, K. L. Wu and P. S. Yu, ―Answering Linear Optimization Queries with an Approximate Stream Index,‖

Knowledge and Information Systems, Vol. 20, No. 1, pp. 95-121, 2009.

S. S. Kozat, M. Vlachos, C. Lucchese, H. Van Herle and P. S. Yu, ―Embedding and Retrieving Private Metadata

in Electrocardiograms,‖ Journal of Medical Systems, Vol. 33, No. 4, 2009, pp. 241-259.

B. C. M. Fung, K. Wang, R. Chen and P. S. Yu, ―Privacy-preserving Data Publishing: A Survey on Recent

Developments,‖ ACM Computing Surveys, In press.

C. Aggarwal and P. S. Yu, ―On Clustering Massive Text and Categorical Data Streams,‖ Knowledge and

Information Systems, 24(2):171-196, 2010.

B. Gedik, K. L. Wu, L. Liu and P. S. Yu, ―Load Shedding in Mobile Systems with MobiQual,‖ IEEE Trans.


J. H. Su, W. J. Huang, P. S. Yu and V. S. Tseng, ―Efficient Relevance Feedback for Content-based Image

Retrieval by Mining User Navigation Patterns,‖ IEEE Trans. Knowledge and Data Engineering, In press.

J. F. Cheng, J. X. Yu and P. S. Yu, ―Graph Pattern Matching: A Join/Semijoin Approach,‖ IEEE Trans.


L. C. Chen, P. S. Yu and V. S. Tseng, ―WF-MSB: A Weighted Fuzzy-based Biclustering Method for Gene

Expression Data,‖ International Journal of Data Mining and Bioinformatics (IJDMB), In press.

Zhichun Zhu

H. Zheng and Z. Zhu, ―Power and Performance Trade-offs in Contemporary DRAM System Designs for

Multicore Processors,‖ IEEE Transactions on Computers, In press.


Suresh Aggarwal

A. J. Lock, S. K. Aggarwal and I. K. Puri, ―Effect of Fuel Type on the Extinction of Fuel and Air Stream Diluted

Partially Premixed Flames,‖ Proceedings of the Combustion Institute, Vol. 32, pp. 2583-2590, 2009.

A. M. Briones, A. Mukhopadhyay and S. K. Aggarwal, ―Analysis of Entropy Generation in Hydrogen-Enriched

Methane-Air Propagating Triple Flames,‖ Int. J. of Hydrogen Energy, Vol. 34, pp. 1074-1083, 2009.

A. Ramirez, S. Som, S. K. Aggarwal, A. Kastengren, E. El-Hannouny, D. Longman and C. F. Powell,

―Quantitative Measurement of Diesel Fuel Spray Characteristics in the Near-Nozzle Region of a Heavy Duty

Multi-Hole Injector,‖ Experiments in Fluids, Vol. 47:119-134, In press.

S. K. Aggarwal, ―Structure of Unsteady Partially Premixed Flames and the Existence of State Relationships,‖ Int.

J. of Spray and Combustion Dynamics, Vol. 1, No. 3, 339-364, In press.


146

S. K. Aggarwal, ―Extinction of Laminar Partially Premixed Flames,‖ Progress in Energy & Combustion Science,

Vol. 35: 528-570, In press.

S. Som and S. K. Aggarwal, ―Assessment of Spray Breakup Models for Diesel Engine Simulations,‖ Atomization

and Sprays, Vol. 19(9):885–903, In press.

S. Som, A. I. Ramírez, S. K. Aggarwal, E. M. El-Hannouny and D. E. Longman, ―Investigation of Nozzle Flow

and Cavitation Characteristics in a Production Diesel Injector,‖ J. of Engineering for Gas Turbines and Power,

Vol. 132 (4), 042802-1-12, In press.

M. Johnson, G. S. Zhu, S. K. Aggarwal and S. Goldsborough, ―Wet Compression of a Fuel Aerosol, Part 1:

Droplet Evaporation Characteristics,‖ Int. J. of Heat & Mass Transfer, Vol. 53 1100–1111, In press.

N. Sedighi, S. Murad and S. K. Aggarwal, ―Molecular Dynamics Simulations of Nanodroplet Spreading on Solid

Surfaces: Effect of Droplet Size,‖ Fluid Dynamics Research, Vol. 42, 035501-24, In press.

S. Som and S. K. Aggarwal, ―Effects of Primary Breakup Modeling on Spray and Combustion Characteristics of

Compression Ignition Engines,‖ Combust. Flame, Vol. 157, pp. 1179-1193, In press.

S. Goldsborough, M. Johnson, G. S. Zhu and S. K. Aggarwal, ―Gas Phase Saturation and Evaporative Cooling

Effects During Wet Compression of a Fuel Aerosol Under RCM Conditions,‖ Combust. Flame, In press.

Farid Amirouche

F. Amirouche, Y. Zhou and T. Johnson, ―Current Micropump Technologies and their Biomedical Applications,‖

Microsystem Technologies, Vol. 15, Issue: 5, pp. 647-666, 2009.

E. Zordan, F. Amirouche and Y. Zhou, ―Principle Design and Actuation of a Dual Chamber Electromagnetic

Micropump with Coaxial Cantilever Valves,‖ Biomedical Microdevices, Vol. 12, No. 1, 55-62, 2010.

Y. Zhou and F. Amirouche, ―Study of Fluid Damping Effects on Resonant Frequency of an Electromagnetically

Actuated Valveless Micropump,‖ The International Journal of Advanced Manufacturing Technology, 45(11-12):

1187-1196, 2009.

J. Connor, F. Amirouche and M. Gonzalez, ―Understanding the Kinematics and Dynamics of the Digit,‖ J Bone

Joint Surg Am., 91 Suppl 6:74-8, 2009.

Prashant Banerjee

C. Luciano, P. Banerjee and T. DeFanti, ―Haptics-based Virtual Reality Periodontal Training Simulator,‖ Virtual

Reality, Vol. 13, No. 2, pp. 69-85, 2009.

A. R. Yoganandan, P. P. Banerjee, C. J. Luciano and S. H. R. Rizzi, ―Prototyping Flexible Touch Screen Devices

Using Collocated Haptic–graphic elastic–object Deformation on the GPU,‖ Virtual Reality, In press.

G. M. Lemole, Jr., P. P. Banerjee, C. Luciano, F. T. Charbel and M. Y. Oh, ―Virtual Ventriculostomy with

‗Shifted Ventricle‘: Neurosurgery Resident Surgical Skill Assessment Using a High-Fidelity Haptic/Graphics

Virtual Reality Simulator,‖ Neurological Research, Vol. 31(4):430-431, 2009.

Kenneth Brezinsky

B. Culbertson and K. Brezinsky, ―High-Pressure Shock Tube Studies on Carbon Oxidation Reactions with Carbon

Dioxide and Water,‖ Energy & Fuels, 23(12), 5806-5812, 2009.

Elisa Budyn

E. Budyn and T. Hoc, ―Analysis of Micro Fracture in Human Haversian Cortical Bone Under Transverse Tension

Using Extended Physical Imaging,‖ International Journal for Numerical Methods in Engineering, In press.

T. Hoc, E. Budyn, G. Puel, M. Bensidhoum and L. Sedel, ―Influence des contraintes mécaniques sur le tissu

osseux à l‘échelle ultrastructurale,‖ Réalités en Rhumatologie, (ISSN 1960- 1980), (23 février 2010), No. 24, pp.

1-4, 2010.


147

Houshang Darabi

N. Wightkin, U. Buy and H. Darabi, ―Time Petri Net Translation of Sequential Function Charts,‖ IEEE

Transactions on Control Systems Technology, In press.

M. Haji and Houshang Darabi, ―A Single Period Inventory Model with Inventory Update Decision: The Newsboy

Problem Extension,‖ International Journal of Advanced Manufacturing Technology, Vol. 47 Issue 5-8, pp. 755-

771, 2010.

Elodie Goodman

E. Adida and G. Perakis, ―Dynamic Pricing and Inventory Control: Robust vs. Stochastic Uncertainty Models—A

Computational Study,‖ Annals of Operations Research, DOI: 10.1007/s10479-010-0706-1, In press.

E. Adida and V. DeMiguel, ―Supply Chain Competition with Multiple Manufacturers and Retailers,‖ Operations

Research, In press.

E. Adida and G. Perakis, ―Dynamic Pricing and Inventory Control: Uncertainty and Competition,‖ Operations

Research, Vol. 58, No. 2, pp. 289-302, 2010.

David He

R. Li and D. He, ―Mechanical Transmission System Multiple Faults Diagnosis using Hilbert-Huang Transform,‖

International Journal for Manufacturing Science & Technology, 2009.

R. Li, P. Sopon and D. He, ―Fault Features Extraction for Bearing Prognostics,‖ Journal of Intelligent

Manufacturing, Special Issue on Condition-Based Maintenance: Theory and Applications, DOI: 10.1007/s10845-

009-0353-z, In press.

P. Joshi, M. Imadabathuni, D. He, M. Al-Kateb and E. Bechhoefer, ―Application of the Automated Condition

Based Maintenance Checking System for Aircrafts,‖ Journal of Intelligent Manufacturing, Special Issue on

Condition-Based Maintenance: Theory and Applications, DOI 10.1007/s10845-009-0350-2, In press.

D. He, R. Li and E. Bechhofer, ―Stochastic Modeling of Damage Physics for Mechanical Component Prognostics

using Condition Indicators,‖ Journal of Intelligent Manufacturing, Special Issue on Machinery Health

Monitoring, Diagnosis and Prognosis, DOI: 10.1007/s10845-009-0348-9, In press.

E. Bechhoefer, R. Li and D. He, ―Quantification of Condition Indicator Performance on A Split Torque Gearbox,‖

Journal of Intelligent Manufacturing, Special Issue on Machinery Health Monitoring, Diagnosis and Prognosis,

DOI: 10.1007/s10845-009-0346-y, In press.

Farzad Mashayek

K. Sengupta, G. B. Jacobs and F. Mashayek, ―Large-eddy Simulation of Compressible Flows Using a Multi-

domain Spectral Method,‖ International Journal for Numerical Methods in Fluids, 61(3), 311-340, 2009.

K. K. Q. Zhang, K. Sengupta, K. Xia, W. J. Minkowycz and F. Mashayek, ―A Superposition-based Parallel

Discrete Operator Splitting Finite Element Method for Incompressible Flows,‖ International Journal of Heat and

Mass Transfer, 52(13-14), 2979-2991, 2009.

K. Sengupta, B. Shotorban, G. B. Jacobs and F. Mashayek, ―Spectral-based Simulations of Particle-laden

Turbulent Flows,‖ International Journal of Multiphase Flow, 39(9), 811-826, 2009.

K. K. Q. Zhang, B. Shotorban, W. J. Minkowycz and F. Mashayek, ―A Comprehensive Approach for Simulation

of Capillary Jet Breakup,‖ International Journal of Heat and Mass Transfer, 53 (15-16), 3057-3066, 2010.

C.-W. Chang, M. Davoudabadi and F. Mashayek, ―One-dimensional Fluid Model of Methane Plasma for

Diamond-like Coating,‖ IEEE Transactions on Plasma Science, In press.

Constantine Megaridis

M. K. Tiwari, A.V. Bazilevsky, A. L. Yarin and C. M. Megaridis, ―Elongational and Shear Rheology of Carbon

Nanotube Suspensions,‖ Rheologica Acta, Vol. 48, pp. 597-609, 2009.

M. Gandhi, R. Srikar, A. L. Yarin, C. M. Megaridis and R. A. Gemeinhart, ―Mechanistic Examination of Protein

Release from Polymer Nanofibers,‖ Molecular Pharmaceutics, Vol. 6, pp. 641-647, 2009


148

R. Srikar, A. L. Yarin and C. M. Megaridis, ―Fluidic Delivery of Homogeneous Solutions through Carbon Tube

Bundles,‖ Nanotechnology, Vol. 20, Article 275706, 2009.

I. S. Bayer, A. Biswas, A. Tripathi, D. K. Avasthi, J. P. Singh and C. M. Megaridis, ―Composite Thin Films of

Poly(phenylene oxide)/Poly(styrene) and PPO/Silver via Vapor Phase Deposition,‖ Polym. Adv. Technol, Vol. 20,

pp. 775-784, 2009.

M. K. Tiwari, I. S. Bayer, G. M. Jursich, T. M. Schutzius and C. M. Megaridis, ―Poly(vinylidene fluoride) and

Poly(ethyl 2-cyanoacrylate) Blends through Controlled Polymerization of Ethyl 2-Cyanoacrylates,‖ Macromol.

Mater. Eng., Vol. 294, pp. 775-780, 2009.

M. K. Tiwari, I. S. Bayer, G. M. Jursich, T. M. Schutzius and C. M. Megaridis, ―Highly Liquid-Repellent, Large-

Area, Nanostructured Poly(vinylidene fluoride)/Poly(ethyl 2-cyanoacrylate) Composite Coatings: Particle Filler

Effects,‖ ACS Applied Materials & Interfaces, Vol. 2, pp. 1114-1119, 2010.

S. Sinha-Ray, Y. Zhang, D. Placke, C. M. Megaridis and A. L. Yarin, ―Resins with Nano-Raisins,‖ Langmuir, In

press.

W. J. Minkowycz

M. N. Golubovic, H. D. Madhawa Hetiarachchi, W. M. Worek and W. J. Minkowycz, ―Nanofluids and Critical

Heat Flux, an Experimental and Analytical Study,‖ Applied Thermal Engineering, 29, pp. 1281-1288, 2009.

K. K. Q. Zhang, K. Sengupta, K. Xia, W. J. Minkowycz and F. Mashayek, ―A Superposition-based Parallel

Discrete Operator Splitting Method for Incompressible Flows,‖ International Journal of Heat and Mass Transfer,

52, pp. 2979-2991, 2009.

V. Artemov, S. B. Beale, G. de Vahl Davis, M. P. Excudier, N. Fueyo, B. E. Launder, E. Leonardi, M. R. Malin,

W. J. Minkowycz, S. V. Patankar, A. Pollard, W. Rodi, A. Runchal and S. P. Vanka, ―A Tribute to D.B. Spalding

and His Contributions in Science and Engineering,‖ International Journal of Heat and Mass Transfer, 52, pp.

3884-3905, 2009.

W. J. Minkowycz and A. Haji-Sheikh, ―Asymptotic Behaviors of Heat Transfer in Porous Passages with Axial

Conduction,‖ International Journal of Heat and Mass Transfer, 52, pp. 3101-3108, 2009.

W. J. Minkowycz, J. P. Abraham and E. M. Sparrow, ―Numerical Simulation of Laminar Breakdown and

Subsequent Intermittent and Turbulent Flow in Parallel-plate Channels: Effects of Inlet Velocity Profile and

Turbulence Intensity,‖ International Journal of Heat and Mass Transfer, 52, pp. 4040-4046, 2009.

E. M. Sparrow, J. P. Abraham and W. J. Minkowycz, ― Flow Separation in a Diverging Conical Duct: Effect of

Reynolds Number and Divergence Angle,‖ International Journal of Heat and Mass Transfer, 52, pp. 3079-3083,

2009.

Thomas Royston

W. Kolata, B. A. Martin, J. N. Oshinski, M. Jerosch-Herold, T. J. Royston and F. Loth, ―MR Measurement of

Cerebrospinal Fluid Velocity Wave Speed in the Spinal Canal,‖ IEEE Trans. on Biomedical Engineering, Vol. 56,

No. 6, pp. 1765 – 1768, 2009.

F. C. Meral, T. J. Royston and R. L. Magin, ―Surface Response of a Fractional Order Viscoelastic Halfspace to

Surface and Subsurface Sources,‖ J. of the Acoustical Society of America, Vol. 126, No. 6, pp. 3278 – 3285, 2009.

R. L. Magin and T. J. Royston, ―Fractional-Order Elastic Models of Cartilage: A Multi-scale Approach,‖


F. C. Meral, T. J. Royston and R. L. Magin, ―Fractional Calculus in Viscoelasticity: An Experimental Study,‖


B. A. Martin, R. Labuda, T. J. Royston, J. N. Oshinski, B. Iskandar and F. Loth, ―Spinal Canal Pressure

Measurements in an In Vitro Spinal Stenosis Model: Implications on Syringomyelia Theories,‖ ASME Journal of

Biomechanical Engineering, In press.


149

Michael Scott

B. D. Coller and M. J. Scott, ―Effectiveness of using a Video Game to Teach a course in Mechanical

Engineering,‖ Computers & Education, 53(3):900-912, 2009.

Ahmed Shabana

A. A. Shabana and G. Sanborn, ―An Alternative Simple Multibody System Approach for Modeling Rail

Flexibility in Railroad Vehicle Dynamics,‖ IMechE Journal of Multibody Dynamics, Vol. 223, pp. 107-120, 2009.

L. G. Maqueda and A. A. Shabana, ―Numerical Investigation of the Slope Discontinuities in Large Deformation

Finite Element Formulations,‖ Nonlinear Dynamics, Vol. 58, pp. 23-37, 2009.

B. Marquis, K. E. Zaazaa, T. Sinokrot and A. A. Shabana, ―Accurate Representation of the Rail Geometry for

Multibody System Applications,‖ ASME Journal of Computational and Nonlinear Dynamics, Vol.5 (1), pp.

011003-1 – 011003-11, 2010.

B. A. Hussein, D. Weed and A. A. Shabana, ―Clamped End Conditions and Cross Section Deformation in the

Finite Element Absolute Nodal Coordinate Formulation,‖ Multibody System Dynamics, Vol. 21 (4), pp. 375-393,

2009.

G. G. Sanborn and A. A. Shabana, ―A Rational Finite Element Method Based on the Absolute Nodal Coordinate

Formulation,‖ Nonlinear Dynamics, Vol. 58(3), pp. 565-572, 2009.

C. Mellace, A. P. Lai, A. Gugliotta, N. Bosso, T. Sinokrot and A. A. Shabana, ―Experimental and Numerical

Investigation of Railroad Vehicle Braking Dynamics,‖ IMechE Journal of Multibody Dynamics, Vol. 223, pp.

255-267, 2009.

G. G. Sanborn and A. A. Shabana, ―On the Integration of Computer Aided Design and Analysis Using the Finite

Element Absolute Nodal Coordinate Formulation,‖ Multibody System Dynamics, Vol. 22, pp. 181-197, 2009.

C. Rathod, R. Chamorro, J. L. Escalona, M. El-Sibaie and A. A. Shabana, ―Validation of Three-Dimensional

Multibody System Approach for Modeling Track Flexibility,‖ IMechE Journal of Multibody Dynamics, Vol. 223,

pp. 269-282, 2009.

L. G. Maqueda, A. A. Mohamed and A. A. Shabana, ―Use of General Nonlinear Material Models in Beam

Problems: Application to Belts and Rubber Chains,‖ ASME Journal of Computational and Nonlinear Dynamics,

Vol. 5, pp. 021003-1 – 021003-10, 2010.

A. A. Shabana and B. A. Hussein, ―A Two-Loop Sparse Matrix Numerical Integration Procedure for the Solution

of Differential/Algebraic Equations: Application to Multibody Systems,‖ Sound and Vibration, Vol. 327, pp. 557-

563, 2009.

A. A. Mohamed, M. A. Brown and A. A. Shabana, ―Study of the Ligament Tension and Cross Section

Deformation Using Nonlinear Finite Element/Multibody Algorithms,‖ Multibody System Dynamics, Vol. 23 (3),

pp. 227-248, 2010.

A. A. Nada, B. A. Hussein, S. Megahed and A. A. Shabana, ―Use of the Floating Frame of Reference Formulation

in the Large Deformation Analysis: Experimental and Numerical Validation,‖ IMechE Journal of Multibody

Dynamics, Vol. 224, pp. 45-58, 2010.

A. A. Shabana, ―On the Definition of the Natural Frequency of Oscillations in Nonlinear Large Rotation

Problems,‖ Journal of Sound and Vibration, Vol. 329, pp. 3171-3181, 2010.

A. Afshari and A. A. Shabana, ―Directions of the Tangential Creep Forces in Railroad Vehicle Dynamics,‖ ASME

Journal of Computational and Nonlinear Dynamics, Vol. 5, pp. 021006-1 – 021006-10, 2010.

D. Weed, L. G. Maqueda, B. A. Hussein and A. A. Shabana, ―A New Nonlinear Multibody/Finite Element

Formulation for Knee Joint Ligaments,‖ Nonlinear Dynamics, Vol. 60 (3), pp. 357-367, 2010.

F. M. Gantoi, M. A. Brown and A. A. Shabana, ―ANCF Finite Element/Multibody System Formulation of the

Ligament/Bone Insertion Site Constraints,‖ ASME Journal of Computational and Nonlinear Dynamics, In press.

A. A. Shabana, ―General Method for Modeling Slope Discontinuities and T-Sections Using ANCF Gradient

Deficient Finite Elements,‖ ASME Journal of Computational and Nonlinear Dynamics, In press.


150

A. A. Shabana, ―Uniqueness of the Geometric Representation in Large Rotation Finite Element Formulations,‖

ASME Journal of Computational and Nonlinear Dynamics, In press.

P. Lan and A. A. Shabana, ―Integration of B-Spline Geometry and ANCF Finite Element Analysis,‖ Nonlinear

Dynamics, In press.

P. Lan and A. A. Shabana, ―Rational Finite Elements and Flexible Body Dynamics,‖ ASME Journal of Vibration

and Acoustics, In press.

William Worek

L. A. Sphaier and W. M. Worek, ―Parametric Analysis of Heat and Mass Transfer Regenerators using a

Generalized Effectiveness-NTU Method,‖ International Journal of Heat and Mass Transfer, Vol. 52, No. 9-10,

pp. 2265-2272, 2009.

C. K. Chau and W. M. Worek, ―Cosorption Processes of Triethylene Glycol in a Packed Bed Liquid Desiccant

Dehumidifier,‖ HVAC&Research, Vol. 15, No. 2, pp 189-210, 2009.

D. Ludovisi, S. S. Cha, N. Ramachandran and W. M. Worek, ―Heat Transfer of Thermocapillary Convection in a

Two-layered Fluid System under the Influence of Magnetic Field,‖ Acta Astronautica, Vol. 64, Issue 11-12, pp.

1066-1079, 2009.

M. Golubovic, H. D. M. Hettiarachchi, W. M. Worek and W. J. Minkowycz, ―Nanofluids and Critical Heat Flux,

Experimental and Analytical Study,‖ Applied Thermal Engineering, Vol. 29, No. 7, pp. 1281-1288, 2009.

Alexander Yarin

R. Srikar, T. Gambaryan-Roisman, C. Steffes, P. Stephan, C. Tropea and A. L. Yarin, ―Nanofiber Coating of

Surfaces for Intensification of Spray or Drop Impact Cooling,‖ Int. J. Heat and Mass Transf. Vol. 52, pp. 5814-

5826, 2009.

A. L. Yarin, T. Gambaryan-Roisman and C. Steffes, ―Nanofasern-was Schnelle Computer und Krebsmedizin

verbindet. Forschen Wissenschaftsmagazin,‖ Technische Universitat Darrmstadt, N2, 14-17, 2009.

T. Miloh, B. Spivak and A. L. Yarin, ―Needleless Electrospinning: Electrically-driven Instability and Multiple

Jetting from the Free Surface of a Spherical Liquid Layer,‖ 106, 114910, 2009.

S. Sinha-Ray and A. L. Yarin, ―Flow from Macroscopically Long Straight Carbon Nanopores for Generation of

Thermo-responsive Nanoparticles,‖ J. Appl. Phys. 107, 0294903, 2010.

S. Sinha Ray, Y. Zhang, D. Placke, C. M. Megaridis and A. L. Yarin, ―Resins with Nano-raisins,‖ Langmuir, In

press.

A. Lembach, H. B. Tan, I. V. Roisman, T. Gambaryan-Roisman, Y. Zhang, C. Tropea and A. L. Yarin, ―Drop

Impact, Spreading, Splashing and Penetration in Electrospun Nanofiber Mats.,‖ Langmuir, In press.

A. Holzmeister, A. L. Yarin and J. H. Wendorff, ―Barb Formation in Electrospinning: Experimental and

Theoretical Investigations,‖ Polymer, In press.

151

CONFERENCE PUBLICATIONS

BIOENGINEERING

Michael Cho

I. A. Titushkin and M. R. Cho, ―Controlling Cellular Biomechanics of Human Mesenchymal Stem Cells,‖

Conference Proceedings IEEE Eng. Med. Biol. Soc., 1:2090-2093, 2009.

I. A. Titushkin and M. Cho, ―Adipogenic Commitment of Mesenchymal Stem Cells Regulated by ERM Proteins-

mediated Cellular Biomechanics,‖ The 54th Annual Meeting of the Biophysical Society, San Francisco, CA, 2010.

I. A. Titushkin, J. S. Shin and M. Cho, ―Biomechanical Control of Stem Cell Behavior and Fate,‖ The Annual

Fall Meeting of the Biomedical Engineering Society, Austin, TX, In press.

David Eddington

S. C. Oppegard and D. T. Eddington, ―Device for the Control of Oxygen Concentration in Multiwell Cell Culture

Plates,‖ Engineering in Medicine and Biology Conference, Minneapolis, MN, September 2-6, 2009.

K. Nam and D. T. Eddington, ―Size Based Separation of Microparticles in a Microfluidic Device,‖ MicroTotal

Analysis Conference, Jeju, South Korea, November 1-5, 2009.

Jie Liang

Y. Cao and J. Liang, ―Nonlinear Coupling for Improved Stochastic Network Model: A Study of Schnakenberg

Model,‖ The Third International Symposium on Optimization and Systems Biology (OSB), ORSC & APORC, pp.

379-386, 2009.

H. Naveed, Y. Li, S. Kachalo and J. Liang, ―Geometric Order in Proliferating Epithelia: Impact of

Rearrangements and Cleavage Plane Orientation,‖ Conf. Proc. IEEE Eng Med Biol Soc., In press.

J. Liang, ―Geometry of Protein Shape and Its Evolutionary Pattern for Function Prediction and Characterization,‖

Conf Proc IEEE Eng Med Biol Soc., 2324-7, 2009.

James Lin

J. C. Lin, ―Writing Manuscripts for Publication in Scientific Journals,‖ 32nd Ann. Mtg. Bioelectromagnetics Soc.

Seoul, Korea, In press.

Andreas Linninger

G. Ruiz, S. Kim, D. Beneke and A. Linninger, ―Robust Thermodynamically-guided Algorithms for Synthesis of

Energy Efficient Separation Networks,‖ 20th

European Symposium on Computer Aided Process Engineering,

ESCAPE20, Comp. Chem. Eng., 28, pp. 1117-1122, 2010.

D. Li, O. Ivanchenko, N. Sindhwani, E. Lueshen and A. Linninger, ―Optimal Catheter Placement for

Chemotherapy,‖ 20th

European Symposium on Computer Aided Process Engineering, ESCAPE20, Comp. Chem.

Eng., 28, pp. 223-228, 2010.

S. B. Kim and A. Linninger, ―Integration of Design and Control for a Large Scale Flowsheet,‖ 20th

European

Symposium on Computer Aided Process Engineering, ESCAPE20, pp. 1279-1284, 2010.

S. Basati, T. Harris and A. Linninger, ―Optimal Sensor Design and Fabrication Using Subject-Specific Images,‖

Proc. of the Design of Medical Devices Conference, Minneapolis, MN,USA, April 13-15, 2010.

B. Sweetman, S. Basati and A. Linninger, ―Modeling and Design of Distributed Systems: Methods and

Algorithms,‖ Proc. 10th International Symposium on Process Systems Engineering, PSE, Salvador-Bahia-Brazil,

August 16–20, 2009.

J. Moon, S. B. Kim, G. Ruiz and A. Linninger, ―Embedded Control for Optimizing Flexible Dynamic Process

Performance,‖ Proc. 10th International Symposium on Process Systems Engineering, PSE, Salvador-Bahia-Brazil,

August 16–20, 2009.

http://gila-fw.bioengr.uic.edu/lab/papers/2009/OSB2009F59-CaoLiang.pdf

http://gila-fw.bioengr.uic.edu/lab/papers/2009/OSB2009F59-CaoLiang.pdf

http://gila-fw.bioengr.uic.edu/lab/papers/2009/embc09c.pdf

http://gila-fw.bioengr.uic.edu/lab/papers/2009/embc09c.pdf


152

S. B. Kim, G. Ruiz, J. Moon, L. Zhang and A. Linninger, ―Synthesis of Energy Efficient Complex Separation

Networks,‖ Proc. 10th International Symposium on Process Systems Engineering, PSE, Salvador-Bahia-Brazil,

August 16–20, 2009.

J. Moon, S. Kim, G. Ruiz and A. Linninger, ―Embedded Control for Optimizing Flexible Dynamic Process

Performance,‖ Proc. 10th International Symposium on Process Systems Engineering, PSE, Salvador-Bahia-Brazil,

August 16–20, 2009.

G. J. Ruiz, S. Kim, J. Moon, L. Zhang and A. Linninger, ―Design and Optimization of Energy Efficient Complex

Separation Networks,‖ Proc. 7th International Conference on Foundations of Computer-Aided Process Design,

pp. 747-755, CRC Press, Taylor and Francis, 2009.

B. Sweetman, S. Basati, M. S. Iyer and A. Linninger, ―Mathematical Modeling-Knowledge Acquisition about

Brain Physics,‖ Proc. 7th International Conference on Foundations of Computer-Aided Process Design, pp. 805-

813, CRC Press, Taylor and Francis, 2009.

J. Moon, S. Kim, G. Ruiz and A. Linninger, ―Integrated Design and Control under Uncertainty-Algorithms and

Applications,‖ Proc. 7th International Conference on Foundations of Computer-Aided Process Design, pp. 659-

668, CRC Press, Taylor and Francis, 2009.

Hui Lu

J. Wen, X. Wang, W. Kibbe, S. Lin and H. Lu, ―Visual Annotation of Gene Database,‖ Proc IEEE-EMBC, 2009.

M. Kallberg and H. Lu, ―Improved Peptide and Protein Recognition from Mass Spec Data Using Machine

Learning,‖ Proc IEEE-EMBC, 2009.

James Patton

F. Huang, J. L. Patton and F. A. Mussa-Ivaldi, ―Robot-amplified Manual Exploration Improves Load

Identification,‖ 11th World Congress on Medical Physics and Biomedical Engineering, in Munich, Germany,

September 7-12, 2009.

Z. Wright, M. W. Rogers, C. D. MacKinnon and J. Patton, ―Startle Stimuli Reduce the Internal Model Control in

Discrete Movements,‖ IEEE Engineering In Medicine and Biology Conference (EMBC), Minneapolis, MN, USA,

2009.

S. Rozario, S. Housman, M. Kovic, R. Kenyon and J. Patton, ―Therapist-mediated Post-stroke Rehabilitation

using Haptic/Graphic Error Augmentation,‖ IEEE Engineering In Medicine and Biology Conference (EMBC),

Minneapolis, MN, USA, 2009.

Patrick Rousche

H. Esmailbeigi and P. J. Rousche, ―3D Neurotrophic Electrode Design,‖ Proceedings of the Society for

Neuroscience Annual Meeting, Chicago, IL, October, 2009.

A. Greene, J. Patton and P. J. Rousche, ―Technical Developments for an Animal Based Stroke Rehab System,‖

Proceedings of the Society for Neuroscience Annual Meeting, Chicago, IL, October 2009.

A. Greene, J. Patton and P. J. Rousche, ―A System for Neuroplastic Analysis of Robotic Stroke Therapy in Rats,‖

Proceedings of the BMES Annual Meeting, Pittsburgh, PA, April 2009.

E. Mugler and P. J. Rousche, ―Laryngeal EMG and Signal Feedback for Vocal Rehabilitation,‖ Proceedings of the

BMES Annual Meeting, Pittsburgh, PA, April 2009.

Esmailbeigi and P. J. Rousche, ―Neurotrophic Electrodes for Cortical Auditory Prosthesis,‖ Proceedings of the

BMES Annual Meeting, Pittsburgh, PA, April 2009.

Michael Stroscio


Diode Coupled with Colloidal Quantum Dots,‖ IEEE Nanotechnology Materials and Devices Conference

(NMDC), Grand Traverse Resort and Spa, Traverse City, Michigan, USA, Proceedings of the Nanotechnology

Conference Publications

153

Materials and Devices Conference, IEEE Catalog Number CFP09NMD-CDR, ISBN 978-1-4244-4696-4, Library

of Congress 2009904792, 2009.

A. Kar, M. A. Stroscio, M. Dutta, J. Kumari and M. Meyyappan, ―Observation of Ultraviolet and Visible

Luminescence Due to the Presence of Defect States in the Forbidden Bandgap of Tin Oxide Nanowires,‖ IEEE

Nanotechnology Materials and Devices Conference (NMDC), Grand Traverse Resort and Spa, Traverse City,

Michigan, USA, Proceedings of the Nanotechnology Materials and Devices Conference, IEEE Catalog Number

CFP09NMD-CDR, ISBN 978-1-4244-4696-4, Library of Congress 2009904792, 2009.

J. Qian, S. Liao, S. Xu, M. A. Stroscio and M. Dutta, ―Electical Transport through Single Molecules by Distinct

Tip-Surface Configurations,‖ 13th

International Workshop on Computational Electronics, Proceedings of the 13th

International Workshop on Computational Electronics, pp. 227-228, IEEE Catalog Number CFP09462-PRT,

ISBN 978-1-4244-3926-3, Library of Congress No. 2009900737, 2009.

Christos Takoudis

Q. Tao, G. Jursich and C. G. Takoudis, ―Structural and Dielectric Characterizations of Atomic Layer Deposited

HfO2 and TiO

2 as Promising Gate Oxide,‖ ASMC Conference Proceedings, In press.


Christos Takoudis

Q. Tao, G. Jursich and C. G. Takoudis, ―Structural and Dielectric Characterizations of Atomic Layer Deposited

HfO2 and TiO

2 as Promising Gate Oxide,‖ ASMC Conference Proceedings, In press.


Christophe Darnault

C. Darnault, S. Bonina, B. Uyusur and P. Snee, ―Fate of Quantum Dots Nanomaterials in Unsaturated and

Saturated Porous Media,‖ Proceedings of the International Environmental Nanotechnology Conference,

Applications and Implications, USEPA, October 7-9, 2008, Chicago, Vol. 2, pp. 165-170, 2009.


B. Zientek, H. H. Wang, J. E. Indacochea, Y. Liu and M. L. Wang, ―Development of Nanowell Based Sensors for

the Detection of Improvised Explosive Devices,‖ SPIE Smart Structures/NDE, San Diego, CA, Vol. 7647, pp.

76472Z1-8, March 8-11, 2010.

S. K. Dasari, A. G. Raraz, J.E. Indacochea and S. M. McDeavitt, ―UREX+ 304L Stainless Steel Centrifugal

Contactor Corrosion due to Hydrodynamic Effects,‖ Proceedings of the NACE, San Antonio, TX, In press, March

15-18, 2010.

N. Jahangiri, A. G. Raraz, J. E. Indacochea and S. M. McDeavitt, ―UREX+ Centrifugal Contactor Corrosion in

HNO3-HF Solutions,‖ Proceedings of the NACE, San Antonio, TX, In press.

J. E. Indacochea and S. Liu, ―Fundamental Understanding of Materials Joining Technologies for Optimizing

Joint/Component Soundness and Performance,‖ International Conference on Product Property Prediction, pp.

101-112, 2010.

Mohsen Issa

M. A. Issa, R. Z. Alrousan and M. A. Issa, ―Fatigue Resistance of Reinforced Concrete Beams Strengthened with

CFRP Sheets,‖ 9th International Symposium on Fiber Reinforced Polymer Reinforcement for Concrete Structures,

Sydney, Australia, 4 pages, July 13-15, 2009.

R. Z. Alrousan, M. A. Issa and M. A. Issa, ―Size Effect of Reinforced Concrete Beams on Shear Contribution of

CFRP Composites,‖ 9th International Symposium on Fiber Reinforced Polymer Reinforcement for Concrete

Structures, Sydney, Australia, 4 pages, July 13-15, 2009.

http://www.emsus.com/nanotechconf/abstracts_a-f.htm#quantum_dot

http://www.emsus.com/nanotechconf/abstracts_a-f.htm#quantum_dot


154

M. A. Issa, R. Z. Alrousan and M. A. Issa, ―Confinement of Circular Columns with CFRP Composites,‖ 9th

International Symposium on Fiber Reinforced Polymer Reinforcement for Concrete Structures, Sydney, Australia,

4 pages, July 13-15, 2009.

Eduard Karpov

E. G. Karpov and M. V. Grankin, ―Nondeterministic Multiscale Modelling of Biomimetic Crack Self-healing in

Nanocrystalline Solids Under Mechanical Loading,‖ Proceedings of 16th US National Congress of Theoretical

and Applied Mechanics, State College, PA., In press.

E. G. Karpov and M. V. Grankin, ―Entropic Elasticity of Chain Polymers by Monte-Carlo Configuration

Sampling,‖ Proceedings of ASME First Global Congress on NanoEngineering for Medicine and Biology,

Houston, TX, February 7-10, 2010.

E. G. Karpov and I. I. Nedrygailov, ―Catalothermionic Power Generator Based on Internal Electron Emission in

Ni/Sic Heterojunction Nanostructures,‖ Proceedings of ASME 3rd

International Conference on Energy

Sustainability, San Francisco, CA, July 19-23, 2009.

Amid Khodadoust

K. Reddy, A. Khodadoust and K. Darko-Kagya, ―Transport and Reactivity of Lactate-Modified Nanoscale Iron

Particles in PCP-Contaminated Field Sand,‖ Proc. International Environmental Nanotechnology Conference:

Applications and Implications, EPA 905R09032, Vol. 2, November 2009.

A. Khodadoust, K. Reddy and K. Darko-Kagya, ―Pentachlorophenol Reduction in Soils by Reactive Nanoscale

Iron Particles,‖ Proc. International Environmental Nanotechnology Conference: Applications and Implications,

EPA 905R09032, Vol. 1, 2009.

Jie Lin

J. Auld, T. H. Rashidi and J. Lin, ―Analysis of National County-level Heavy-duty Freight Truck Emissions,‖

Proceedings of the Transportation Land Use Planning and Air Quality Conference, Denver, CO, July 28-29,

2009.

M. Ruan, J. Lin and K. Kawamura, ―Comparing the Efficiency of Commercial Vehicle Daily Tours in Star and

Loop Trip Chaining Patterns in Texas Urban Areas,‖ Proceedings of the National Urban Freight Conference

(NUFC), Long Beach, CA, October 21-23, 2009.

M. Ruan, J. Lin and K. Kawamura, ―Modeling Urban Commercial Vehicle Daily Tour Scheduling Using the

Texas Commercial Vehicle Survey Data,‖ Proceedings (Compendium DVD) of the 89th

Transportation Research

Board Annual Meeting, National Research Council, Washington, D.C., January 10-14, 2010.

M. Ruan and J. Lin, ―A Synthesis Framework for Generating County Level Freight Data Using Public Sources for

Spatial Autocorrelation Analysis,‖ Proceedings (Compendium DVD) of the 89th

Transportation Research Board

Annual Meeting, National Research Council, Washington, D.C., January 10-14, 2010.

W. Pu, J. Lin and L. Long, ―Estimation of Urban Street Segment Travel Time Using Buses as Real-Time Speed

Probes,‖ Proceedings (Compendium DVD) of the 89th

Transportation Research Board Annual Meeting, National

Research Council, Washington, D.C., January 10-14, 2010.

D. Ayala, J. Lin and O. Wolfson, ―Communication Reduction for Floating Car Data based Traffic Information

Systems,‖ the Second International Conference on Advanced Geographic Information Systems, Applications, and

Services, GEOProcessing, St. Maarten, Netherlands Antilles, February 10-16.

P. Szczurek, B. Xu, O. Wolfson and J. Lin, ―Prioritizing Travel Time Reports in Peer-to-Peer Traffic

Dissemination,‖ 7th IEEE, IET International Symposium on Communication Systems, Networks and Digital

Signal Processing (CSNDSP), Newcastle, UK, July 21-23, In press.


T. H. Rashidi, A. Mohammadian and F. S. Koppelman, ―Modeling Interdependencies between Vehicle

Transaction, Residential Relocation and Job Change,‖ Proc. of IVth World Conference of Spatial Econometrics

Association, Chicago, June 9-12, 2010.


155

J. A. Auld and A. Mohammadian, ―Disaggregate Work Location Choice Model for Chicago Considering

Agglomeration and Competition Effects,‖ Proc. of Transport Chicago Conference, Chicago, IL, June 4, 2010.

J. A. Auld, M. Z. Frignani, C. A., Williams and A. Mohammadian, ―Results of the UTRACS Internet-based

Prompted Recall GPS Activity-Travel Survey for the Chicago Region,‖ Proc. of Transport Chicago Conference,

Chicago, IL, June 4, 2010.

A. Samimi, A. Mohammadian and K. Kawamura, ―Freight Microsimulation in the US,‖ Proc. of Transport

Chicago Conference, Chicago, IL, June 4, 2010.

J. A. Auld, M. Z. Frignani, A. Mohammadian and P. Nelson, ―Results and Empirical Analysis of Activity

Planning from the UTRACS Prompted-Recall Survey,‖ Proceedings of the 3rd International Conference on

Innovations in Travel Modeling (ITM) of the Transportation Research Board (TRB), Tempe, Arizona, May 10-12,

2010.

J. A. Auld and A. Mohammadian, ―Progress in the Development of the ADAPTS Dynamic Activity-Based

Microsimulation Model,‖ Proceedings of the 3rd International Conference on Innovations in Travel Modeling

(ITM) of the Transportation Research Board (TRB), Tempe, Arizona, May 10-12, 2010.

A. Samimi, A. Mohammadian and K. Kawamura, ―Progress in the Development of the ADAPTS Dynamic

Activity-Based Microsimulation Model,‖ Proceedings of the 3rd International Conference on Innovations in

Travel Modeling (ITM) of the Transportation Research Board (TRB), Tempe, Arizona, May 10-12, 2010.

J. A. Auld, T. H. Rashidi, A. Mohammadian and K. Wies, ―Evaluating Transportation Impacts of Forecast

Demographic Scenarios Using Population Synthesis and Data Transferability,‖ Proceedings of the 89th Annual

Meeting of the Transportation Research Board (DVD), Washington, D.C., January 11-15, 2010.

T. Rashidi, A. Mohammadian and F. Koppelman, ―Modeling Interdependencies between Vehicle Transaction,

Residential Relocation, and Job Change,‖ Proceedings of the 89th Annual Meeting of the Transportation Research

Board (DVD), Washington, D. C., January 11-15, 2010.

A. Samimi, A. Mohammadian and K. Kawamura, ―Online Freight Shipment Survey in the United States: Lessons

Learned and Nonresponse Bias Analysis,‖ Proceedings of the 89th Annual Meeting of the Transportation

Research Board (DVD), Washington, D.C., January 11-15, 2010.

T. Rashidi and A. Mohammadian, ―Behavioral Housing Search Choice Set Formation: Hazard-Based Screening

Model of Property Value and Work Distance,‖ Proceedings of the 89th Annual Meeting of the Transportation

Research Board (DVD), Washington, D. C., January 11-15, 2010.

T. Rashidi and A. Mohammadian, ―Household Travel Attribute Transferability Analysis: Application of

Hierarchical Rule-Based Approach,‖ Proceedings of the 89th Annual Meeting of the Transportation Research

Board (DVD), Washington, D. C., January 11-15, 2010.

A. Samimi, A. Mohammadian and K. Kawamura, ―Behavioral Freight Movement Modeling: Methodology and

Data,‖ Proceedings of the 12th International Conference on Travel Behaviour Research, IATBR, Jaipur,

Rajasthan, India, December 13-18, 2009.

J. A. Auld and A. Mohammadian, ―Activity Planning Processes in the ADAPTS Activity-Based Modeling

Framework,‖ Proceedings of the 12th International Conference on Travel Behavior Research, IATBR, Jaipur,

India, December 13-18, 2009.

T. H. Rashidi, A. Mohammadian and F. Koppelman, ―An Integrated Model of Housing, Job and Vehicle

Ownership Decisions: A Simultaneous System of Hazard-Based Equations with Random and Group Decision-

Making Effects,‖ Proceedings of the 12th International Conference on Travel Behavior Research, IATBR, Jaipur,

India, December 13-18, 2009.

A. Samimi, A. Mohammadian and K. Kawamura, ―Behavioral Freight Movement Modeling,‖ Proceedings of the

IEEE International Conference on Service Operations, Logistics and Informatics, Chicago, IL, July 22-24.

Krishna Reddy

K. R. Reddy and M. R. Karri, ―Effect of Electric Potential on Nanoiron Particles Delivery for Pentachlorophenol

Remediation in Low Permeability Soil,‖ in Proceedings of the17th International Conference on Soil Mechanics


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and Geotechnical Engineering, M. Hamza, M.. Shahien and Y. El-Mossallamy, Editors, Alexandria, Egypt, IOS

Press BV, Netherlands, Volume 3, ISSN 978-1-60750-031-5, pp. 2312-2315, 2009.

K. R. Reddy and H. S. Kulkarni, ―Modeling of Horizontal Trench Systems for Leachate Recirculation in Bioreactor

Landfills,‖ Proceedings of the 25th International Conference on Solid Waste Technology and Management,

Philadelphia, PA, (ISBN 1091-8043), pp.643-656, March 2010.

K. Darko-Kagya and K. R. Reddy, ―Nanotechnology for Decontamination of Polluted Ground: Fundamentals and

Applications,‖ Proceedings of the International Conference on Infrastructure Development on Expansive Soils,

Hosur, India, August 2009.

K. R. Reddy and J. A. Adams, ―Towards Green and Sustainable Remediation of Contaminated Sites,‖ 6th

International Congress on Environmental Geotechnics, New Delhi, India, In press.

K. Darko-Kagya and K. R. Reddy, ―Monitoring Nanoiron Transport in Porous Media Using Magnetic

Susceptibility Sensor,‖ 6th


H. S. Kulkarni and K. R. Reddy, ―Modeling of Moisture Distribution under Continuous and Intermittent Leachate

Recirculation in Bioreactor Landfills,‖ 6th

International Congress on Environmental Geotechnics, New Delhi,

India, In press.

K. K. Gupta, K. R. Reddy and H. S. Kulkarni, ―Geotechnical Behavior of Fine-Grained Soils Mixed with

Randomly Oriented Plant Roots,‖ 6th

International Congress on Environmental Geotechnics, New Delhi, India, In

press.

G. L. Sivakumar Babu, K. R. Reddy, A. Srivastava and H. S. Kulkarni, ―Reliability Analysis of Municipal Solid

Waste Landfill Slopes,‖ 6th


G. L. Sivakumar Babu, K. R. Reddy and S. K. Chouksey, ―Constitutive Model for Municipal Solid Waste

Incorporating Mechanical Creep and Biodegradation-induced Compression -A Parametric Study,‖ 6th


Karl Rockne

M. Mittal and K. Rockne, ―Dynamic Models of Multi-trophic Interactions in Microbial Food Webs in

BIOMICROWORLD, 3rd

International Conference on Environmental, Industrial and Applied Microbiology, In

press.

K. Rockne, ―Stimulation of Polycyclic Aromatic Hydrocarbon Biodegradation by Nitrate and Sulfate Amendment

to Sediment Along a Natural Salinity Gradient,‖ in BIOMICROWORLD, 3rd

International Conference on

Environmental, Industrial and Applied Microbiology, In press.

COMPUTER SCIENCE

Tanya Berger-Wolf

D. Brown and T.Y. Berger-Wolf, ―Discovering Kinship Through Small Subsets,‖ Proceedings of the Workshop

on Algorithms in Bioinformatics (WABI), Leads, England, In press.

A. Maiya and T. Y. Berger-Wolf, ―Online Sampling of High Centrality Individuals in Social Networks,‖

Proceedings of the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD),

Hyderabad, India, In press.

A. Maiya and T. Y. Berger-Wolf, ―Sampling Community Structure,‖ Proceedings of WWW, Raleigh, NC, April

2010.

S. Sheikh, A. Khokhar and T. Y. Berger-Wolf, ―Efficient and Scalable Parallel Reconstruction of Sibling

Relationships from Genetic Data in Wild Populations,‖ Proceedings of the 9th IEEE International Workshop on

High Performance Computational Biology (HiCOMB), Atlanta, GA, April 2010.

T. Y. Berger-Wolf, M. Lahiri, C. Tantipathananandh and D. Kempe, ―Finding Structure in Dynamic Networks,‖

Proceedings of the Workshop on Information in Networks (WIN), New York, NY, September 2009.


157

A. S. Maiya and T. Y. Berger-Wolf, ―Inferring the Maximum Likelihood Hierarchy in Social Networks,‖

Proceedings of the International Symposium on Social Intelligence and Networking (SIN), Vancouver, Canada,

August 2009.

S. I. Sheikh, T. Y. Berger-Wolf, A. Khokhar, I. C. Caballero, M. V. Ashley, W. Chaovalitwongse and B.

DasGupta, ―Combinatorial Reconstruction of Half-Sibling Groups,‖ Proceedings of the 8th International

Conference on Computational Systems Bioinformatics (CSB), Stanford, CA, P. Markstein and Y. Xu, Editors, Life

Science Society, pp. 59–67, August 2009.

Ugo Buy

H. Darabi, W. Galanter, J. Y.-Y. Lin and R. Sampath, ―Modeling and Integration of Hospital Information Systems

with Petri Nets,‖ Proc. of the IEEE/INFORMS Int. Conf. on Service Operations, Logistics and Informatics,

(SOLI), pp. 190-195, Chicago, Illinois, July 2009.

Isabel Cruz

I. F. Cruz, F. Palandri Antonelli and C. Stroe, ―AgreementMaker: Efficient Matching for Large Real-World

Schemas and Ontologies,‖ 35th

International Conference on Very Large Databases (VLDB), pp. 1586-1589,

system demo, 2009.

J. Booth, B. Di Eugenio, I. F. Cruz and O. Wolfson, ―Query Sentences as Semantic (Sub) Networks,‖ IEEE

International Conference on Semantic Computing, pp. 89-94, 2009.

I. F. Cruz, F. Palandri Antonelli and C. Stroe, ―Efficient Selection of Mappings and Automatic Quality-driven

Combination of Matching Methods,‖ Fourth International Workshop on Ontology Matching, Co-located with the

International Semantic Web Conference, October 2009.

I. F. Cruz, F. Palandri Antonelli, C. Stroe, U. C. Keles and A. Maduko, “Using AgreementMaker to Align

Ontologies for OAEI Overview, Results, and Outlook,‖ Fourth International Workshop on Ontology Matching,

Co-located with the International Semantic Web Conference, October 2009.

I. F. Cruz, F. Palandri Antonelli and C. Stroe, ―Integrated Ontology Matching and Evaluation,‖ International

Semantic Web Conference (Posters & Demos), October 2009.

Bhaskar DasGupta

A. Bhattacharya, B. DasGupta, D. Mubayi and G. Turán, ―On Approximate Horn Formula Minimization,‖ Proc.

37th International Colloquium on Automata, Languages and Programming, In press.

S. I. Sheikh, T. Y. Berger-Wolf, A. Khokhar, I. C. Caballero, M. V. Ashley, W. Chaovalitwongse and B.

DasGupta, ―Combinatorial Reconstruction of Half-Sibling Groups,‖ Proc. 8th International Conference on

Computational Systems Bioinformatics, Vol. 8, P. Markstein and Y. Xu, Editors, Life Sciences Society, pp. 59-67,

2009.

P. Berman, B. DasGupta and M. Karpinski, ―Approximating Transitive Reduction Problems for Directed

Networks,‖ Proc. 11th Algorithms and Data Structures Symposium, F. Dehne, M. Gavrilova, J.-R. Sack and C. D.

Tóth, Editors, LNCS 5664, pp. 74-85, August, 2009.


Approximating an Implicit Cover Problem in Biology,‖ Proc. 5th International Conference on Algorithmic

Aspects in Information and Management, A. Goldberg and Y. Zhou Editors, LNCS 5564, pp. 43–54, Springer-

Verlag Berlin-Heidelberg, 2009.

Barbara Di Eugenio

J. Booth, B. Di Eugenio, I. Cruz and O. Wolfson, ―Query Sentences as Semantic (Sub) Networks,‖ The 3rd IEEE

International Conference on Semantic Computing (ICSC), Berkeley, CA, USA, pp. 89-94, September, 2009.

A. Tretti and B. Di Eugenio, ―Analysis and Presentation of Results for Mobile Local Search,‖ The Seventh

International Conference on Language Resources and Evaluation, La Valletta, Malta, May 2010.

C. Kersey, B. Di Eugenio, P. Jordan and S. Katz, ―A Peer Learning Agent,‖ 10th International Conference on

Intelligent Tutoring Systems, Pittsburgh, PA, In press.


158

S. Tata and B. Di Eugenio, ―Generating Fine-Grained Reviews of Songs from Album Reviews,‖ The 48th

Annual Meeting of the Association for Computational Linguistics, Uppsala, Sweden, In press.

L. Chen and B. Di Eugenio, ―A Lucene and Maximum Entropy Model Based Hedge Detection System,‖

CoNLL2010-ST, Uppsala, Sweden, In press.

Jakob Eriksson

A. Thiagarajan, L. Sivalingam, K. LaCurts, S. Toledo, J. Eriksson, S. Madden and H. Balakrishnan, ―VTrack:

Accurate, Energy-Aware Traffic Delay Estimation Using Mobile Phones,‖ Proc. ACM SenSys, pp. 85-98, 2009.

J. Biagioni, A. Agresta, T. Gerlich and J. Eriksson, ―TransitGenie: A Context-Aware, Real-time Transit

Navigator,‖ Proc. ACM SenSys, pp. 329-330, 2009.

Piotr Gmytrasiewicz

P. Varkey and P. Gmytrasiewicz, ―Sampling and Updating Higher Order Beliefs in Interactive Sequential

Deliberations,‖ AAAI IDTGT, In press.

Andrew Johnson

Y. Sun, J. Leigh, A. Johnson and S. Lee, ―Articulate: A Semi-automated Model for Translating Natural Language

Queries into Meaningful Visualizations,‖ The Proceedings of the 10th International Symposium on Smart

Graphics Banff, Canada, June 24-26, 2010.

Y. Chen, J. Leigh, S. Lee, A. Johnson, H. Hur and L. Renambot, ―Case Study - Designing an Advanced

Visualization System for Geological Core Drilling Expeditions,‖ The Proceedings of the CHI, Atlanta, Georgia,

April 10-15, 2010.

K. Reda, C. Tantipathananandh, Y. Berger-Wolf, J. Leigh and A. Johnson, ―SocioScape - A Tool for Interactive

Exploration of Spatio-Temporal Group Dynamics in Social Networks,‖ The Proceedings of the IEEE Information

Visualization Conference, Atlantic City, New Jersey, October 11-16, 2009.

Robert Kenyon

S. Gurses, R. V. Kenyon and E. A. Keshner, ―Examination of Time-Varying Kinematic Responses to Support

Surface Disturbances,‖ IFAC 7th Symposium on Modeling and Control in Biomedical Systems, Aalborg,

Denmark, August 12-14, 2009.

Ajay Kshemkalyani

A. Kshemkalyani, ―A Symmetric O(n log n) Message Distributed Snapshot Algorithm for Large-Scale Systems,‖

Proceedings of the IEEE Cluster Conference, January 4, 2009.

Jason Leigh

N. Schwarz and J. Leigh, ―Distributed Volume Rendering for Scalable High-Resolution Display Arrays,‖

Proceedings of the Fifth International Conference on Computer Graphics Theory and Applications, May 17,

2010.

Y. Chen, H. Hur, S. Lee, J. Leigh, A. Johnson and L. Renambot, ―Case Study - Designing an Advanced

Visualization System for Geological Core Drilling Expeditions,‖ Proceedings of the ACM Conference on Human

Factors in Computing Systems, February 22, 2010.

J. A. Waxman, J. Leigh and D. W. Carley, ―A New Driving Simulator for Sleep Research,‖ 10th Annual

International Meeting on Simulation in Healthcare, January 23, 2010.

Y. Sun, J. Leigh, A. E. Johnson and D. Chau, ―Articulate: A Conversational Interface for Visual Analytics,‖

Proceedings of the IEEE Symposium on Visual Analytics Science and Technology, October 11, 20009.

K. Reda, C.Tantipathananandh, T. Berger-Wolf, J. Leigh and A. E. Johnson, ―SocioScape – A Tool for Interactive

Exploration of Spatio-Temporal Group Dynamics in Social Networks,‖ Proceedings of the IEEE Information

Visualization Conference (INFOVIS), October 11, 2009.


159

V. Vishwanath, S. Nam, L. Renambot, J. Leigh, H. Takahashi, M. Takizawa, S. Kobayashi, O. Kamatani and O.

Ishida, ―Achieving Large Bandwidth by Leveraging Parallelism in End-Hosts and Networks,‖ Proceedings of the

IEEE Photonics Society Summer Topicals Conference, July 20, 2009.

John Lillis

X. Li and J. Lillis, ―A Method for Improved Final Placement Employing Branch and Bound with Hierarchical

Placement Encoding and Tightened Bounds,‖ Proc. 1st Asia Symposium on Quality Electronic Design, pp. 304-

312, 2009.

Bing Liu

R. Narayanan, B. Liu and A. Choudhary, ―Sentiment Analysis of Conditional Sentences,‖ Proceedings of

Conference on Empirical Methods in Natural Language Processing (EMNLP), Singapore, August 6-7, 2009.

G. Qiu, B. Liu, J. Bu and C. Chen, ―Expanding Domain Sentiment Lexicon through Double Propagation,‖

Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI), Pasadena, California,

USA, July 11-17, 2009.

N. Jindal and B. Liu, ―A Generalized Tree Matching Algorithm Considering Nested Lists for Web Data

Extraction,‖ Proceedings of SIAM International Conference on Data Mining, SDM pp. 930-941, 2010.

C. X. Lin, B. Zhao, T. Weninger, J. Han and B. Liu, ―Entity Relation Discovery from Web Tables and Links,‖

WWW, pp. 1145-1146, 2010.

X. Li, L. Zhang, B. Liu and S.-K. Ng, ―Distributional Similarity vs. PU Learning for Entity Set Expansion,‖ ACL,

6 pages, In press.

Z. Zhai, B, Liu, H. Xu and P. Jia, ―Grouping Product Features Using Semi-Supervised Learning with Soft-

Constraints,‖ Proceedings of the 23rd

International Conference on Computational Linguistics (COLING), In press.

X. Ding and B. Liu, ―Resolving Object and Attribute Coreference in Opinion Mining,‖ Proceedings of the 23rd

International Conference on Computational Linguistics (COLING), In press.

Leilah Lyons

C. Dasgupta, L. Lyons, M. Zellner and A. Greenlee, ―Designing for an Informal Learning Environment: Towards

a Participatory Simulation Design Process for Public Policy Planning,‖ Proc. International Conference of the

Learning Sciences (ICLS), In press.

H. Zimmerman, D. Kanter, K. Ellenbogen, M. Phipps, L. Lyons, S. Zuiker, T. Satwicz, R. Jordan, J. Weible, C.

Gamrat and S. Martell, ―Technologies and Tools to Support Informal Science Learning,‖ Proc. of International

Conference of the Learning Sciences (ICLS), In press.

P. Jimenez and L. Lyons, ―Studying Different Methods of Providing Input to Collaborative Interactive Museum

Exhibit Using Mobile Devices,‖ Proc. 6th IEEE International Conference on Wireless, Mobile, and Ubiquitous

Technologies in Education (WMUTE), 2010.

L. Lyons, ―Instrumenting Zoos to Bridge Formal/informal Learning Opportunities,‖ Location-based and

Contextual Mobile Learning: A Report from the STELLAR Alpine Rendez-Vous Workshop Series, pp. 41-45, 2010.

L. Lyons, ―Designing Opportunistic User Interfaces to Support a Collaborative Museum Exhibit,‖ Proc. 8th

International Conference on Computer Supported Collaborative Learning (CSCL), pp. 375-384, 2009.

A. Antle, C. Kynigos, L. Lyons, P. Marshall, T. Moher and M. Roussou, ―Manifesting

Embodiment: Designers‘ Variations on a Theme,‖ In Community Events Proc. of the 8th

International Conference

on Computer Supported Collaborative Learning (CSCL), pp. 15-17, 2009.

Thomas Moher

T. Moher, J. Wiley, A. Jaeger, B. Lopez Silva, F. Novellis and D. Kilb, ―Spatial and Temporal Embedding for

Science Inquiry: An Empirical Study of Student Learning,‖ Proc. of the 9th International Conference of the

Learning Sciences (ICLS), 2010.


160

Peter Nelson

J. A. Auld, M. Z. Frignani, A. Mohammadian and P. Nelson, ―Results and Empirical Analysis of Activity

Planning from the UTRACS Prompted-Recall Survey,‖ Proceedings of the 3rd International Conference on

Innovations in Travel Modeling (ITM) of the Transportation Research Board (TRB), Tempe, Arizona, May 10-12,

2010.

Sol Shatz

A. Goel, H. Xu and S. M. Shatz, ―A Multi-State Bayesian Network for Shill Verification in Online Auctions,‖

Proceedings of the International Conference on Software Engineering and Knowledge Engineering (SEKE), San

Francisco, CA, In press.

F. Dong, S. M. Shatz and H. Xu, ―An Experimental Study on the Relationship Between Final Auction Price and

Shilling Activity in Online Auctions,‖ Proceedings of the International Conference on Software Engineering and

Knowledge Engineering (SEKE), San Francisco, CA, In press.

H. Xu, C. Bates and S. M. Shatz, ―Real-Time Model Checking for Shill Detection in Live Online Auctions,‖

Proceedings of the International Conference on Software Engineering Research and Practice (SERP), Las Vegas,

pp. 134-140, July 2009.

A. Prasad Sistla

E. Dragut, F. Fang, A. P. Sistla and C. Yu, ―Stop Wprd and Related Problems in Web Interface Integration,‖

VLDB, 2009.

R. Chadha, A. P. Sistla and M. Viswanatahan, ―Power of Randomization in Automata on Infinite Strings,‖

International Conference on Theory of Concurrency, CONCUR, September 2009.

P. Bisht, A. P. Sistla and V. Venkatakrishnan, ―Automatically Preparing Safe SQL Ueries,‖ 14th International

Conference on Financial Cryptography and Data Security, Canary Islands, Spain, January 2010.

Robert Sloan

M. Langlois, D. Mubayi, R. H. Sloan and G. Turán, ―Combinatorial Problems for Horn Clauses,‖ Proc. Graph

Theory, Computational Intelligence and Thought, pp. 54-65, 2009.

Jon Solworth

J. Sikder, M. Radhakrishnan and J. A. Solworth, ―An SSH Based Toolkit for User-based Network Services,‖

USENIX Large-Scale System Administration Conference, pp 119-127, 2009.

Mitchell Theys

M. D. Theys, P. S. Devgan, J. F. Diehl, C. E. Sunderman and K. J. Williams, ―Using a Microcontroller to

Optimize the Bias Voltage of Balanced Photodiodes to Minimize Even-Order Distortion in Analog Fiber-Optic

Links,‖ Optical Fiber Communication Conference (OFC/NFOEC), March 2010.


P. Bisht, A. P. Sistla and V. N. Venkatakrishnan, ―Automatically Preparing Safe SQL Queries,‖ Proceedings of

Financial Cryptography and Data Security, Tenerife, Spain, January 2010.

M. T. Louw, K. T. Ganesh and V. N. Venkatakrishnan, ―AdJail: Practical Enforcement of Confidentiality and

Integrity Policies on Web Advertisements,‖ Proc. of USENIX Security Symposium, In press.

Ouri Wolfson

J. Booth, B. DiEuginio, I. Cruz and O. Wolfson, ―Query Sentences as Semantic (Sub) Networks,‖ Proc. of the 3rd

IEEE International Conference on Semantic Computing, pp. 89-94, September 2009.

B. Xu, F. Vafaee and O. Wolfson, ―In-network Query Processing in Mobile P2P Databases,‖ Proc. of the 17th

ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), pp.

207-216, November 2009.


161

O. Wolfson, B. Xu and H. Cho, ―Multimedia Traffic Information in Vehicular Networks,‖ Proc. of the 17th ACM

SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS), pp. 480-

483, November 2009.

P. Szczurek, B. Xu, J. Lin and O. Wolfson, ―Machine Learning Approach to Report Prioritization with an

Application to Travel Time Dissemination,‖ Proc. of the Second International Workshop on Computational

Transportation Science (IWCTS), pp. 31-36, November 2009.

D. Ayala, J. Lin, O. Wolfson, N. Rishe and M. Tanizaki, ―Communication Reduction for Floating Car Data-based

Traffic Information Systems,‖ Proc. of the Second International Conference on Advanced Geographic

Information Systems, Applications and Services (GeoProcessing), pp. 44-51, February 2010.

G. Trajcevski, A. Chouhdary, O. Wolfson, L. Ye and G. Li, ―Uncertain Range Queries for Necklaces,‖ Proc. of

the 11th International Conference on Mobile Data Management, May 2010.

A. Cary, O. Wolfson and N. Rishe, ―Efficient and Scalable Method for Processing Top-k Spatial Boolean

Queries,‖ Proc. of the 22nd International Conference on Scientific and Statistical Database Management

(SSDBM), In press.

P. Szczurek, B. Xu, O. Wolfson, J. Lin and N. Rishe, ―Prioritizing Travel Time Reports in Peer-to-Peer Traffic

Dissemination,‖ Proc. of the 7th IEEE and IET International Symposium on Communication Systems, Networks

and Digital Signal Processing, In press

Clement Yu

E. Dragut, F. Fang, P. Sistla, C. Yu and W. Meng, ―Stop Word and Related Problems in Web Interface

Integration,‖ pp. 349-360, VLDB, 2009.

E. Dragut, T. Kabisch, C. Yu and U. Leser, ―A Hierarchical Approach to Model Web Query Interfaces for Web

Source Integration,‖ Very Large Data Bases (VLDB), Lyon, France, pp.325-336, August 2009.

E. C. Dragut, F. Fang, C. T. Yu and W. Meng, ―Deriving Customized Integrated Web Query Interfaces,‖ Web

Intelligence, pp. 685–688, 2009.

L. Jia, C. T. Yu and W. Meng, ―The Effect of Negation on Sentiment Analysis and Retrieval Effectiveness,‖

CIKM, pp. 1827-1830, 2009.

Philip Yu

H. Tai and M. S. Chen, ―k-Support Anonymity based on Pseudo Taxonomy for Outsourcing of Frequent Itemset

Mining,‖ Proc. ACM KDD Conference, Washington, D.C., July 2010.

X. Kong, ―Semi-supervised Feature Selection for Graph Classification,‖ Proc. ACM KDD Conference,

Washington, D.C., July 2010.

V. Tseng, C. W. Wu and B. E. Shie, ―UP-Growth: An Efficient Algorithm for High Utility Itemsets Mining,‖

Proc. ACM KDD Conference, Washington, D.C., July 2010.

L. Cao, Y. Ou and G. Wei, ―Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based

Manipulative Trading Behaviors,‖ Proc. ACM KDD Conference, Washington, D.C., July 2010.

H. Tong, S. Papadimitriou, C. Faloutsos and T. Eliassi-Rad, ―Basset: Scalable Gateway Finder in Large Graphs,‖

Proc. Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, June 2010.

X. Shi, Q. Liu, W. Fan and Q. Yang, ―Predictive Modeling with Heterogeneous Sources,‖ Proc. SIAM Data

Mining Conference, Columbus, OH, April 2010.

C. Aggarwal, ―On Classification of High-Cardinality Data Streams,‖ Proc. SIAM Data Mining Conference,

Columbus, OH, April 2010.

C. Aggarwal and Y. Zhou, ―On Clustering Graph Streams,‖ Proc. SIAM Data Mining Conference, Columbus,

OH, April 2010.

L. Liu, F. Zhu, C. Chen, X. Yan, J. Han and S. Yang, ―Mining Diversity on Networks,‖ DASFAA, Tsukuba, Japan,

April 2010.


162

D. Wu, Y. Ke, J. X. Yu and L. Chen, ―Detecting Leaders from Correlated Time Series,‖ DASFAA, Tsukuba,

Japan, April 2010.

N. Agarwal, H. Liu, S. Subramanyay and J. Salerno, ―Connecting Sparsely Distributed Similar Bloggers,‖ Proc.

IEEE Intl. Conf. on Data Mining, Miami, FL, December 2009.

W. Gao, R. Grossman and Y. Gu, ―Why Naïve Ensembles Do Not Work in Cloud Computing,‖ Proc. IEEE Intl.

Conf. on Data Mining Workshop on Large-Scale Data Mining: Theory and Applications, Miami, FL, December

2009.

J. C. Ying and V. S. Tseng, ―Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning

Original Databases,‖ Proc. IEEE Intl. Conf. on Data Mining Workshop on Large-Scale Data Mining: Theory and

Applications, Miami, FL, December 2009.

C. Aggarwal and Y. Xie, ―GConnect: A Connectivity Index for Massive Disk-resident Graphs,‖ Proc. VLDB

Conference, Lyon, France, August 2009.

R. Wong, T. Ozsu, A. Fu and L. Liu, ―Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor,‖

Proc.VLDB Conference, Lyon, France, August 2009.

J. Pei and Z. Xing, ―Early Classification on Time Series: A Nearest Neighbor Approach,‖ Proc. 21st International

Joint Conference on Artificial Intelligence (IJCAI), Pasadena, CA, July 2009.


Rashid Ansari

I. Yildirim, R. Ansari, J. Wanek, I. S. Yetik and M. Shahidi, ―Estimation of Oxygen Tension in Retinal Capillaries

from Phosphorescence Lifetime Images,‖ Proc. Sixth IEEE Int. Symp. on Biomedical Imaging (ISBI), Boston,

MA, pp. 57-60, June 28-July 1, 2009.

L. Lo Monte, D. Erricolo, R. Ansari, F. Soldovieri and M. C. Wicks, ―Underground Imaging using RF

Tomography: The Effect of Lateral Waves,‖ Proc. Int. Conf. on Electromagnetics in Advanced Applications,

Torino, Italy, September 14-18, 2009.

S. Zhao, D. Tuninetti, R. Ansari and D. Schonfeld, ―Distortion Exponent for Multiple Description Coding,‖ Forty-

Seventh Annual Allerton Conference on Communication, Control, and Computing, Monticello, Illinois, pp. 1250-

1255, September 30 - October 2, 2009.

F. Mohammad, R. Ansari, J. Wanek and M. Shahidi, ―Photoreceptor Cell Counting in Adaptive Optics Retinal

Images using Content-adaptive Filtering,‖ Proc. SPIE Conf. Medical Imaging: Biomedical Applications in

Molecular, Structural, and Functional Imaging, Vol. 7626, March 9, 2010.

D. Radakovic, R. Ansari and Y. Yao, ―Content-Based Rate-Adaptive Transfer Of SVC-Encoded Video Over

MIMO Communication Systems,‖ 9th Annual Wireless Telecommunications Symposium, Tampa, FL, April 21-23,

2010.

F. Mohammad, J. M. Wanek, R. Ansari and M. Shahidi, ―Performance of a Content-Adaptive Filtering Method

for Photoreceptor Cell Counting,‖ abstract and poster, ARVO Annual Meeting, Fort lauderdale, FL, May 2-6,

2010.

Masud Chowdhury

P. Vora and M. H. Choudhary, ―Prospects and Implementation of Non-DVFS Dynamic Thermal Management

Techniques,‖ IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, In press.

Md. S. Rahaman, Q. Duan and M. H Chowdhury, ―Negative Bias Temperature Instability and Random Dopant

Fluctuation Related Reliability Issues in Nano CMOS Technology,‖ IEEE MWSCAS, In press.

A. Roy and M. H Chowdhury, ―An Accurate Model for Self-Capacitance in VLSI Interconnects,‖ Proceedings of

IEEE International Symposium on Circuits and Systems (ISCAS), Paris, France, In press.


163

H. Lin, Md. S. Rahaman and M. H. Chowdhury, ―Microarchitecture Support for Interconnect Power-aware

Instruction Permutation,‖ Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), Paris,

France, In press.

Md. S. Rahaman and M. H. Chowdhury, ―Information Theoretic Capacity Analysis of Single-Walled Carbon

Nanotube Bundle VLSI Interconnects,‖ IEEE 12th

International Symposium on Integrated (ISIC), Singapore,

December14-16, 2009.

S. Subash and M. H. Chowdhury, ―High Efficiency Carbon Nanotube Based Solar Cells for Electronics Devices,‖

IEEE 12th

International Symposium on Integrated (ISIC), Singapore, December 14-16, 2009.

S. Subash, Md S. Rahaman and M. H. Chowdhury, ―Impact of CNT Arrangement on Capacitance and Inductance

in Mixed Bundles,‖ IEEE 12th

International Symposium on Integrated (ISIC), Singapore, December 14-16, 2009.

S. Subash, Md S. Rahaman and M. H. Chowdhury, ―Compact Model for Carbon Nanotubes Interconnects using

Fourier Series Analysis,‖ IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Cancún,

Mexico, August 2-5, 2009.

Md. S. Rahaman and M. H. Chowdhury, ―Interconnect Technique for Sub-Threshold Circuits using Negative

Capacitance Effect,‖ IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), Cancún,

Mexico, August 2-5, 2009.

Natasha Devroye

S. Rini, D. Tuninetti and N. Devroye, ―The Capacity Region of the Gaussian Cognitive Radio Channels at High

SNR,‖ ITW in Taormina, October 2009.

S. Rini, D. Tuninetti and N. Devroye, ―The Capacity Region of Gaussian Cognitive Radio Channels to within 1.87

Bits,‖ ITW in Cairo, Januray 2010.

S. J. Kim, N. Devroye and V. Tarokh, ―A Class of Bi-directional Multi-relay Protocols,‖ International Symposium

on Information Theory, June 2009.

A. Attar, N. Devroye, H. Li and V. C. M. Leung, ―A Unified Scheduling Framework Based on Virtual Timers for

Selfish-Policy Shared Spectrum,‖ ICC , Cape Town, May 2010.

S. J. Kim, B. Smida and N. Devroye, ―Capacity Bounds on Multi-pair Two-way Communication with a Base-

station Aided by a Relay,‖ ISIT, Austin, June 2010.

Shantanu Dutt

H. Ren and S. Dutt, ―A Provably High-Probability White-Space Satisfaction Algorithm with Good Performance

for Standard-Cell Detailed Placement,‖ IEEE Trans. VLSI Systems, In press.

S. Dutt and H. Ren, ―Discretized Network Flow Techniques for Timing and Wire-Length Driven Incremental

Placement with High-Probability White-Space Satisfaction,‖ IEEE Trans. VLSI Systems, In press.

Mitra Dutta



(NMDC), Grand Traverse Resort and Spa, Traverse City, Michigan, USA; Proceedings of the Nanotechnology


of Congress 2009904792, 2009.




Michigan, USA; Proceedings of the Nanotechnology Materials and Devices Conference, IEEE Catalog Number



Tip-Surface Configurations,‖ Proceedings of the 13th

International Workshop on Computational Electronics, pp.


164

227-228, IEEE Catalog Number CFP09462-PRT, ISBN 978-1-4244-3926-3, Library of Congress No.

2009900737, 2009.

Danilo Erricolo

L. Lo Monte, D. Erricolo, F. Soldovieri and M. C. Wicks, ―Recent Advances in RF Tomography for Underground

Imaging,‖ XIII International Conference on Ground Penetrating Radar, Lecce, Italy, In press.

S. M. Canta, D. Erricolo and A. Toccafondi, ―An ITD Formulation for the Double Diffraction by a Pair of

Wedges Illuminated by an EM Complex Source Point Expansion,‖ EuCAP, The 4th

European Conference on

Antennas and Propagation, Barcelona, Spain, April 12-16, 2010.

L. Lo Monte, V. Picco and D. Erricolo, ―Image Formation in RF Tomography Using Compressive Sensing,‖

SIAM Conference on Imaging Science (IS), Chicago, IL, USA, 2010.

S. M. Canta, D. Erricolo and A. Toccafondi, ―Incremental Double Diffraction Coefficients for Complex Source

Points,‖ National Radio Science Meeting, Boulder, Co, January 6-9, 2010.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Radiation from a Parallel-plate Waveguide Capped by a Parabolic

DNG Metamaterial Lens,‖ National Radio Science Meeting, Boulder, Co, January 6-9, 2010.

L. Lo Monte, D. Erricolo, F. Soldovieri and M. C. Wicks, ―Underground Imaging of Irregular Terrains Using RF

Tomography,‖ The Third International Workshop on Computational Advances in Multi-Sensor Adaptive

Processing, Aruba, Dutch Antilles, December 13-16, 2009.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Electromagnetic Radiation and Scattering for a Gap in a Corner

Backed by a Cavity Filled with DNG Metamaterial,‖ The 9th Engineering Mathematics and Applications

Conference, University of Adelaide, South Australia, December 6-9, 2009.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Radiation of a Line Source by a Slotted Semielliptical Trench Filled

With DNG Metamaterial,‖ The Third IEEE International Symposium on Microwave, Antenna, Propagation and

EMC Technologies for Wireless Communications (MAPE), Beijing, China, October 27-29, 2009.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Electromagnetic Scattering by a Semielliptical Trench Filled with

DNG Metamaterial,‖ International Conference on Electromagnetics in Advanced Applications (ICEAA), Torino,

Italy, September 14-18, 2009.

O. Akgol, D. Erricolo, P. L. E. Uslenghi, D. Monopoli and R. E. Zich, ―Electromagnetic Scattering by an Elliptic

DNG Metamaterial Cylinder,‖ International Conference on Electromagnetics in Advanced Applications (ICEAA),


L. Lo Monte, D. Erricolo, R. Ansari, F. Soldovieri and M. C. Wicks, ―Underground Imaging Using RF

Tomography: The Effect of Lateral Waves,‖ International Conference on Electromagnetics in Advanced

Applications (ICEAA), Torino, Italy, September 14-18, 2009.

L. Lo Monte, D. Erricolo, V. Picco, F. Soldovieri and M. C. Wicks, ―Distributed RF Tomography for Tunnel

Detection: Suitable Inversion Schemes,‖ National Aerospace & Electronics Conference, Dayton, OH, July 21-23,

2009.

L. Lo Monte, D. Erricolo, F. Soldovieri and M. C. Wicks, ―Imaging of Underground Anomalies using RF

Tomography and Lateral Waves,‖ International Symposium, IEEE International Geoscience & Remote Sensing

Symposium, Cape Town, Africa, July 12-17, 2009.

S. M. Canta, D. Erricolo and A. Toccafondi, ―Incremental Fringe Formulation for the Scattering of Complex Point

Source Beam Expansion by Planar Metallic Objects,‖ IEEE AP-S International Symposium on Antennas and

Propagation and USNC/URSI National Radio Science Meeting, Charleston, SC, June 1-5, 2009.

P. L. E. Uslenghi, T. Stoia, D. Erricolo and R. D. Graglia, ―The Effect of Penetrable Enclosures on the Radar

Signature of a Metallic Disk-Sphere,‖ IEEE AP-S International Symposium on Antennas and Propagation and

USNC/URSI National Radio Science Meeting, Charleston, SC, June 1-5, 2009.

L. Lo Monte, D. Erricolo, F. Soldovieri and M. C. Wicks, ―RF Tomography for Underground Target Detection in

a Lossy and Cluttered Environment,‖ IEEE AP-S International Symposium on Antennas and Propagation and

USNC/URSI National Radio Science Meeting, Charleston, SC, June 1-5, 2009.


165

H. T. Hayvaci and D. Erricolo, ―Enhancing Radar Ambiguity Function with Deterministic Propagation Model,‖

IEEE AP-S International Symposium on Antennas and Propagation and USNC/URSI National Radio Science

Meeting, Charleston, SC, June 1-5, 2009.

Alan Feinerman

J. Chang, N. Jayapratha, R. Kuljic, B. Salvador, M. Cantwell, K. Broughton, B. Kunzer, P. K. Ng, A. Selner, R.

Razo, M. Harris, Q. He, S. Syerov, D. Harry, S. C. Kanneganti, A. Benison, B. Edlavitch, T. Dankovic, K.

Banerjee, A. Feinerman, and H. Busta, ―A MEMS-based Vacuum Gauge for Measuring Pressure and Out-gassing

Rates in Miniaturized Vacuum Microelectronic Devices,‖ Technical Digest of the 23rd

International Vacuum

Nanoelectronics Conference (IVNC), In press.

Siddhartha Ghosh

S. Ghosh, et al., ―High Performance Dual Multiplication MWIR SLS APDs,‖ SPIE, In press.

Vladimir Goncharoff

R. Morris, R. Johnson, V. Goncharoff and J. DiVita, ―Watermark Recovery from Speech Using Inverse Filtering

and Sign Correlation,‖ Proc. INTERSPEECH, pp. 1311-1314, 2009.

Ashfaq Khokhar

F. Almasalha, A. Khokhar and S. Baqai, ―Selective Encryption based Data Security for Ogg Streams,‖ IEEE

International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 1850-1853, March 2010.

X. Chen, D. Schonfeld and A. Khokhar, ―Non-linear Kernel Space Invariant Representation for View-invariant

Motion Trajectory Retrieval and Classification,‖ IEEE International Conference on Acoustics, Speech, and Signal

Processing, Dallas, Texas, 2010.

S. I. Sheikh, A. Khokhar and T. Y. Berger-Wolf, ―Efficient and Scalable Parallel Reconstruction of Sibling

Relationships from Genetic Data in Wild- populations,‖ IEEE International Workshop on High Performance

Computational Biology (HiCOMB) held with IPDPS, 2010.

T. Canli, M. Hefeida and A. Khokhar, ―BulkMAC: A Cross-Layer based MAC Protocol for Wireless Sensor

Networks,‖ IEEE Wireless Sensor Networks Symposium (IWCMC), Caen, France, June 2010.

T. Canli and A. Khokhar, ―PRMAC: Pipelined Routing Enhanced MAC Protocol for Wireless Sensor Networks,‖

IEEE International Conference on Communications (ICC), 2009.

S. Djahel, F. Nait-Abdesselam and A. Khokhar, ―A Cross Layer Framework to Mitigate a Joint MAC and Routing

Attack in Multihop Wireless Networks,‖ IEEE Local Computer Networks (LCN), pp. 730 –737, 2009.

S. Ma, A. Khokhar and D. Schonfeld, ―Robust Video Mining based on Local Similarity Alignment of Motion

Trajectories,‖ IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009.

X. Chen, D. Schonfeld and A. Khokhar, ―Localized Null Space Representation for Dynamic Updating and

Downdating in Image and Video Databases,‖ IEEE International Conference on Image Processing (ICIP), Cairo,

Egypt, November 2009.

F. Almasalha and A. Khokhar, ―Scalable Security of Streaming Multimedia Contents,‖ Workshop on Wireless and

Internet Services in conjunction with IEEE Local Computer Networks (LCN), Zurich, October 2009.

X. Chen, D. Schonfeld and A. Khokhar, ―Localized Null Space Representation for Dynamic Updating and

Downdating in Image and Video Databases,‖ IEEE Conference on Image Processing, Cairo, Egypt, 2009.

X. Ma, A. Khokhar and D. Schonfeld, ―Robust Video Mining Based on Local Similarity Alignment of Motion

Trajectories,‖ IEEE Conference on Image Processing, Cairo, Egypt, 2009.

Gyungho Lee

Y-J Ahn, D-Y Hwang, Y-S Lee, J-Y Choi and G. Lee, ―Saturating Counter Design for Meta Predictor in Hybrid

Branch Prediction,‖ Proc. of the 8th

Int’l Conf. on Circuits, Systems, Electronics, Controls, & Signal Processing

(CSECS), pp. 217-221, Canary Islands, Spain, December 14-16, 2009.


166

D. Ahn and G. Lee, ―Prospect of fine grain dynamic memory access control with profiling,‖ SECURWARE 2010,

The Fourth International Conference on Emerging Security Information, Systems and Technologies, pp. 69-74,

IEEE Computer Society, July 2010.

James Lin

J. C. Lin, ―Writing Manuscripts for Publication in Scientific Journals,‖ 32nd Ann. Mtg. Bioelectromagnetics Soc.

Seoul, Korea, In press.

Derong Liu

Z. Liu, H. Zhang and D. Liu, ―Adaptive Tracking Control of a Class of Nonlinear Time-delay Systems with NN

Actuator Saturation Compensation,‖ Proc. World Congress on Intelligent Control and Automation, Jinan, China,

In press.

Q. Wei and D. Liu, ―An Iterative ADP Approach for Solving a Class of Nonlinear Zero-sum Differential Games,‖

Proceedings of the IEEE International Conference on Networking, Sensing and Control, Chicago, IL, pp. 279-

285, April 2010.

F. Tan, D. Liu and X. Guan, ―Output Synchronization of Multiple Mobile Agents,‖ Proceedings of the IEEE

International Conference on Networking, Sensing and Control, Chicago, IL, pp.325-330, April 2010

T. Ma, H. Zhang, D. Liu and Z. Wang, ―A Novel LMI Approach to Global Impulsive Exponential

Synchronization of Chaotic Delayed Neural Networks,‖ Proceedings of the 49th IEEE Conference on Decision

and Control, Shanghai, China, pp. 626-631, December 2009.

Q. Kang, L. Wang, D. Liu and Q. Wu, ―Parameter Approximate Dynamic Optimization for PSO Systems,‖

Proceedings of the 49th IEEE Conference on Decision and Control, Shanghai, China, pp. 5003-5008, December

2009.

H. Javaherian, T. Huang and D. Liu, ―A Biologically Inspired Adaptive Nonlinear Control Strategy for

Applications to Powertrain Control,‖ Proceedings of the IEEE International Conference on Systems, Man, and

Cybernetics, San Antonio, TX, pp. 2007-2013, October 2009,

J. Yang, H. Zhang and D. Liu, ―A Novel Control Scheme for a Class of Nonlinear Systems with Time Delays

Based on Fuzzy Hyperbolic Model,‖ Proceedings of the IEEE International Conference on Fuzzy Systems, Jeju

Island, Korea, pp.1745-1750, August 2009,

F. Tan, D. Liu and X. Guan, ―Consensus Value of Multi-agent Networked Systems with Time-delay,‖

Proceedings of the IEEE Conference on Service Operations, Logistics and Informatics, Chicago, IL, pp. 179-184,

July 2009.

Sudip Mazumder

S. K. Mazumder and A. Rathore, ―Performance Evaluation of a New Modulation Scheme for High Frequency AC

Link Inverter,‖ IEEE Energy Conversion Conference and Exposition, Atlanta, In press.

A. Rathore and S. K. Mazumder, ―Novel Zero-current Switching Current-fed Half-bridge Isolated dc/dc Converter

for Fuel-cell Based Applications,‖ IEEE Energy Conversion Conference and Exposition, Atlanta, In press.

S. N. Bose and S. K. Mazumder, ―Simulation Study of Optically Triggered GaN/4H-SiC Heterostructure Vertical

NPN Device,‖ GOMACHTech Conference, Reno, NV, In press.

S. K. Mazumder, T. Sarkar and S. R. Bose, ―Photonic Modulation of SiC Based Power Semiconductor Device

Switching Dynamics Using Optically Triggered Power Transistor,‖ Plenary Paper, International Workshop on the

Physics of Semiconductor Devices, New Delhi, December 2009.

J. Bentsman, B. Miller, E. Rubinovich and S. K. Mazumder, ―Optimal Control of Dynamical Systems with Active

Singularities Under Single- and Multi-impact Sequences,‖ IEEE Conference on Decision and Control, Shanghai,

P.R. China, December 2009.

S. K. Mazumder and T. Sarkar, ―Optically-modulated Active-gate (OMAG) Control for the Next-generation

Power Electronics,‖ IEEE Energy Conversion Conference and Exposition, San Jose, September 2009.


167

S. K. Mazumder and P. K. Ng, ―A Novel Zero-voltage-switching Scheme for Photovoltaic-/fuel-cell-based High-

frequency-ac-link Inverter,‖ IEEE Energy Conversion Conference and Exposition, San Jose, September 2009.

S. K. Mazumder and K. Acharya, ―Sequence-based Control for Standalone and Networked Switching Power

Converters,‖ IEEE Energy Conversion Conference and Exposition, San Jose, September 2009.

R. Huang and S. K. Mazumder, ―Soft Switching Schemes for Multiphase dc/dc Converter with Six-pulse

Modulated Pulsating Output,‖ IEEE Energy Conversion Conference and Exposition, San Jose, September 2009.

S. K. Mazumder and K. Acharya, ―Sequence-based Control for Large-scale Power Electronics Networks,‖ IEEE

Power Engineering Society Conference, Alberta, Canada, July 2009.

Vitali Metlushko

M. Donolato, M. Gobbi, P. Vavassori, M. Cantoni, V. Metlushko, B. Ilic, M. Zhang, S. X. Wang, M. F. Hansen

and R. Bertacco, ―Detection of a Single Synthetic Antiferromagnetic Nanoparticle with an AMR Nanostructure:

Comparison between Simulations and Experiments,‖ Journal of Physics: Conference Series 200, 122001, 2010.

Wenjing Rao

Y. Su and W. Rao, ―Defect Tolerant Logic Mapping on Nanoscale Crossbar Architectures,‖ IEEE International

Symposium on Defect and Fault Tolerance in VLSI Systems (DFTS), pp. 322 - 330, October 2009.

Y. Su and W. Rao, ―Runtime Analysis for Defect-tolerant Logic Mapping on Nanoscale Crossbar Architectures,‖

IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), pp. 75-78, July, 2009.

Y. Su and W. Rao, ―Runtime-constrained Yield Model in Nanocrossbar Systems,‖ University Government

Industry Micro/nano (UGIM) Symposium, In press.

P. Gavlin and W. Rao, ―C6: Exploring the Design Space of Nanoelectronics Systems Using a Model of

Consumer/Resource Networks,‖ University Government Industry Micro/nano (UGIM) Symposium, In press.

Michael Stroscio



(NMDC), Grand Traverse Resort and Spa, Traverse City, Michigan, USA, Proceedings of the Nanotechnology


of Congress 2009904792, 2009.




Michigan, USA, Proceedings of the Nanotechnology Materials and Devices Conference, IEEE Catalog Number



Tip-Surface Configurations,‖ 13th

International Workshop on Computational Electronics, Proceedings of the 13th

International Workshop on Computational Electronics, pp. 227-228, IEEE Catalog Number CFP09462-PRT,

ISBN 978-1-4244-3926-3, Library of Congress No. 2009900737, 2009.

Daniela Tuninetti

D. Tuninetti, ―An Outer Bound Region for Interference Channels with Generalized Feedback,‖ Proceedings of the

IEEE Information Theory and Applications Workshop (ITA), San Diego, CA, USA, February 2010.

S. Zhao, R. Timo, T. Chan, A. Grant and D. Tuninetti, ―The Impact of Side Information on Gaussian

Transmission over Block-Fading Channels,‖ Proceedings of the IEEE International Conference on

Communications (ICC, Wireless Communication Symposium), Cape Town, South Africa, May 2010.

Y. Weng and D. Tuninetti, ―Outage Analysis of Block-Fading Gaussian Interference Channels: General Case,‖

Proceedings of the IEEE International Conference on Communications (ICC, Communication Theory

Symposium), Cape Town, South Africa, May 2010.


168

X. Shi, D. Schonfeld and D. Tuninetti, ―Error Analysis of Loopy Belief Propagation,‖ Proceedings of the IEEE

International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Dallas, TX, USA, March 2010.

S. Rini, D. Tuninetti and N. Devroye, ―The Capacity of Gaussian Cognitive Channels Within 1.81 Bits,‖

Proceedings of the IEEE Information Theory Workshop (ITW), Cairo, Egypt, January 2010.

S. Rini, D. Tuninetti and N. Devroye, ―State of the Cognitive Channel: New Unified Inner and Outer Bounds and

Capacity to Within 2 Bits,‖ Proceedings of the International Zurich Symposium (IZS), Zurich, Switzerland, March

2010.

D. Tuninetti, S. Zhao, R. Ansari and D. Schonfeld, ―Distortion Exponent for Multiple Description Coding,‖

Proceedings of the 47rd

Annual Allerton Conference on Communication, Control, and Computing (Allerton),

Monticello, IL, USA, September 2009.

S. Rini, D. Tuninetti and N. Devroye, ―On Deterministic Cognitive Channels,‖ Proceedings of the IEEE

Information Theory Workshop (ITW), Taormina, Italy, October 2009.

D. Tuninetti, ―Deterministic Approximation for Gaussian Cognitive Channels,‖ Proceedings of the IEEE

Communication Theory Workshop (CTW, Special Session “Wireless Networking”), Cancun, Mexico, May 2010.

P. L. E. Uslenghi

O. Akgol, D. Erricolo, P. L. E. Uslenghi, D. Monopoli and R. E. Zich, ―Electromagnetic Scattering by an Elliptic

DNG Metamaterial Cylinder,‖ Proc. Intl. Conference on Electromagnetics in Advanced Appls. (ICEAA), 4 pages,


O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Electromagnetic Scattering by a Semielliptical Trench filled with

DNG Metamaterial,‖ Proc. Intl. Conference on Electromagnetics in Advanced Appls. (ICEAA), 4 pages, Torino,

Italy, September 14-18, 2009.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Radiation of a Line Source by a Slotted Semielliptical Trench filled

with DNG Metamaterial,‖ 3rd

IEEE Intl. Symposium on Microwave, Antenna, Propagation, and EMC

Technologies for Wireless Communications (MAPE), Beijing, China, October 27-29, 2009.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Electromagnetic Radiation and Scattering for a Gap in a Corner

backed by a Cavity filled with DNG Metamaterial,‖ 9th

Engineering Mathematics and Appls. Conference

(EMAC), Adelaide, Australia, December 6-9, 2009.

O. Akgol, D. Erricolo and P. L. E. Uslenghi, ―Radiation from a Parallel-plate Waveguide Capped by a Parabolic

DNG Metamaterial Lens,‖ National radio Science Meeting, Boulder, CO, January 6-9, 2010.

P. L. E. Uslenghi, ―Exact Radiation from an Axial Dipole Antenna on an Oblate Metallic Spheroid coated with

Layers of Isorefractive and Anti-isorefractive Materials,‖ Proc. Days on Diffraction, page 83, St. Petersburg,

Russia, June 8-11, 2010.

Kaijie Wu

Y. Liu, H. Liang and K. Wu, ―Scheduling for Energy Efficiency and Fault Tolerance in Hard Real-time Systems,‖

Design, Automation & Test in Europe Conference (DATE), 2010.

Y. Liu and K. Wu, ―An ILP formulation to Unify Power Efficiency and Fault Detection at Register-Transfer

Level,‖ IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (DFT), Chicago, 2009.

HungYu Yang

H. Y. D. Yang, V. K. Chekka and H. Ma, ―Slow-wave Transmission-Line Transformers/Baluns,‖ Digest of IEEE

Int. Microwave Symposium, Atlanta, GA, May 23-28, 2010.

H. Ma and H. Y. D. Yang, ―Dispersion Characteristics of Metamaterial Slow-Wave Coupled Lines,‖ Digest of

IEEE Int. Microwave Symposium, Atlanta, GA, May 23-28, 2010.

Yingwei Yao

L. Zheng and Y. Yao, ―Binary Decision Consensus in Ad hoc Sensor Network,‖ Proc. IEEE VTC, 5 pages,

Anchorage, AL, September 20-23, 2009.


169

D. Xu and Y. Yao, ―Random Access for Decentralized Detection in Wireless Sensor Networks,‖ Proc. IEEE VTC,

5 pages, Anchorage, AL, September 20-23, 2009.

Philip Yu

H. Tai and M. S. Chen, ―k-Support Anonymity based on Pseudo Taxonomy for Outsourcing of Frequent Itemset

Mining,‖ Proc. ACM KDD Conference, Washington, D.C., July 2010.

X. Kong, ―Semi-supervised Feature Selection for Graph Classification,‖ Proc. ACM KDD Conference,

Washington, D.C., July 2010.

V. Tseng, C. W. Wu and B. E. Shie, ―UP-Growth: An Efficient Algorithm for High Utility Itemsets Mining,‖

Proc. ACM KDD Conference, Washington, D.C., July 2010.

L. Cao, Y. Ou and G. Wei, ―Detecting Abnormal Coupled Sequences and Sequence Changes in Group-based

Manipulative Trading Behaviors,‖ Proc. ACM KDD Conference, Washington, D.C., July 2010.

H. Tong, S. Papadimitriou, C. Faloutsos and T. Eliassi-Rad, ―Basset: Scalable Gateway Finder in Large Graphs,‖

Proc. Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD), Hyderabad, India, June 2010.

X. Shi, Q. Liu, W. Fan and Q. Yang, ―Predictive Modeling with Heterogeneous Sources,‖ Proc. SIAM Data

Mining Conference, Columbus, OH, April 2010.

C. Aggarwal, ―On Classification of High-Cardinality Data Streams,‖ Proc. SIAM Data Mining Conference,

Columbus, OH, April 2010.

C. Aggarwal and Y. Zhou, ―On Clustering Graph Streams,‖ Proc. SIAM Data Mining Conference, Columbus,

OH, April 2010.

L. Liu, F. Zhu, C. Chen, X. Yan, J. Han and S. Yang, ―Mining Diversity on Networks,‖ DASFAA, Tsukuba, Japan,

April 2010.

D. Wu, Y. Ke, J. X. Yu and L. Chen, ―Detecting Leaders from Correlated Time Series,‖ DASFAA, Tsukuba,

Japan, April 2010.

N. Agarwal, H. Liu, S. Subramanyay and J. Salerno, ―Connecting Sparsely Distributed Similar Bloggers,‖ Proc.

IEEE Intl. Conf. on Data Mining, Miami, FL, December 2009.

W. Gao, R. Grossman and Y. Gu, ―Why Naïve Ensembles Do Not Work in Cloud Computing,‖ Proc. IEEE Intl.

Conf. on Data Mining Workshop on Large-Scale Data Mining: Theory and Applications, Miami, FL, December

2009.

J. C. Ying and V. S. Tseng, ―Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning

Original Databases,‖ Proc. IEEE Intl. Conf. on Data Mining Workshop on Large-Scale Data Mining: Theory and

Applications, Miami, FL, December 2009.

C. Aggarwal and Y. Xie, ―GConnect: A Connectivity Index for Massive Disk-resident Graphs,‖ Proc. VLDB

Conference, Lyon, France, August 2009.

R. Wong, T. Ozsu, A. Fu and L. Liu, ―Efficient Method for Maximizing Bichromatic Reverse Nearest Neighbor,‖

Proc.VLDB Conference, Lyon, France, August 2009.

J. Pei and Z. Xing, ―Early Classification on Time Series: A Nearest Neighbor Approach,‖ Proc. 21st International

Joint Conference on Artificial Intelligence (IJCAI), Pasadena, CA, July 2009.

Milos Žefran

C. Caicedo and M. Žefran, ―Probabilistic Guarantees for Rendezvous Under Noisy Measurements,‖ Proceedings

of the Conference on American Control Conference, pp. 5180-5185, 2009.

M. Kolesnikov and M. Žefran, ―Haptic Playback: Better Trajectory Tracking During Training Does Not Mean

More Effective Motor Skill Transfer,‖ EuroHaptics, In press.


170


Suresh Aggarwal

S. Som, A. M. Briones and S. K. Aggarwal, ―Evaluation of New Criteria for Cavitation Inception in Diesel

Injectors,‖ ICLASS 2009-089, 11th Triennial International Annual Conference on Liquid Atomization and Spray

Systems, Vail, Colorado, USA, July 2009.

S. K. Aggarwal and V. R. Katta, ―Evaluation of Chemical Kinetics Models in Predicting Heptane-Air Partially

Premixed Flames,‖ 45th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit, Denver, CA, August 2-

5, 2009.

S. S. Goldsborough, M. V. Johnson and S. K. Aggarwal, ―Droplet Evaporation Due to Gas-Phase Volumetric

Compression,‖ Technical Meeting of the Eastern States Section of the Combustion Institute, University of

Maryland College Park, October 18-21, 2009.

B. D. Adhikary, S. K. Aggarwal and V. R. Katta, ―Ignition of Methane-Hydrogen Mixtures at High Pressure,‖

AIAA-1357, 48th Aerospace Sciences Meeting and Exhibit, Orlando, FL, January 4-7, 2010.

B. D. Adhikary, S. K. Aggarwal, S. Ciatti and S. Swaminathan, ―Performance Comparison of Two Different

Cetane Number Fuels in a Diesel Engine Using a High-Fidelity Detailed Chemistry Model,‖ Technical Meeting

of the Central States Section of the Combustion Institute, Urbana-Champaign, Illinois, March 21-23, 2010.

S. Swaminathan, S. Ciatti, B. D. Adhikary and S. K. Aggarwal, ―A Study of Low Cetane Kerosene in Diesel

Engine,‖ Technical Meeting of the Central States Section of The Combustion Institute, Urbana-Champaign,

Illinois, March 21-23, 2010.

S. Som, A. I. Ramírez, S. K. Aggarwal and D. E. Longman, ―Effect of Nozzle Orifice Geometry on Combustion

and Emissions under Diesel Engine Conditions,‖ Technical Meeting of the Central States Section of The

Combustion Institute, Urbana-Champaign, Illinois, March 21-23, 2010.

Farid Amirouche

F. Amirouche, M. Gonzalez, W. Goldstein, A. Derhake and B. Dudas, ―Computer Modeling of the Patellofemoral

Joint Instability: Patella Inherent Geometry Influence on Stress and Loading,‖ Poster, ASME Summer

Bioengineering Conference, The Resort at Squaw Creek, Lake Tahoe, CA, June 17-21, 2009.

C. Grave, F. Amirouche, M. Gonzalez and K. Balogh, ―An Investigation into thew coupling of FDS/FDP,‖ ASME

Summer Bioengineering Conference, The Resort at Squaw Creek, Lake Tahoe, CA, June 17-21, 2009.

G. Saini, F. Amirouche and W. Goldstein, ―Effect of Stem Length and Extent of Porous Coating on Stress

Shielding in Total Hip Arthroplasty,‖ AAOS and ORS Annual Meeting, New Orleans, LA, March 6-9, 2010.

F. Amirouche and A. G. Mayton, eds., Proceedings of the Second American Conference on Human Body

Vibration, Pittsburgh, PA: National Institute for Occupational Safety and Health, June 2009.

Prashant Banerjee

S. Liang, P. P. Banerjee and D. P. Edward, ―A High Performance Graphic and Haptic Curvilinear Capsulorrhexis

Simulation System,‖ Proc. 31st IEEE EMBS Conf., Minneapolis, pp. 5092-5095, 2009.

S. H. Rizzi, C. J. Luciano and P. P. Banerjee, ―Haptic Interaction with Volumetric Datasets Using Surface-based

Haptic Libraries,‖ Proc. IEEE/ACM Haptics Symposium, pp. 243-250, Boston, March 2010.

S. Zhang, P. P. Banerjee and C. Luciano, ―Virtual Exercise Environment for Promoting Active Lifestyle for

People with Lower Body Disabilities,‖ Proc. IEEE ICNSC, Chicago, 2010.

Kenneth Brezinsky

S. Garner, R. Sivaramakrishnan and K. Brezinsky, ―The High Pressure Pyrolysis of Saturated and Unsaturated C7

Hydrocarbons,‖ Proceedings of the 32nd

Combustion Institute, 32 (Pt. 1), pp. 461-467, 2009.

B. Culbertson and K. Brezinsky, ―High Pressure Shock Tube Studies on Graphite Oxidation Reactions with

Carbon Dioxide and Water,‖ Proc. Comb. Inst. 33, In press.


171

Elisa Budyn

J. Jonvaux, E. Budyn and T. Hoc, ―Micro-Mechanical Characterisation of Human Cortical Bone,‖ Proceedings of

ASME-NEMB, 1st Global Congress on Nano-Engineering for Medecine and Biology, Houston, Texas, USA,

February 7-10, 2010.

E. Budyn, J. Jonvaux and T. Hoc, ―Tensile Stiffness and Fracture Strength in Human Cortical Bone

Microstructures,‖ XFEM, Aachen, Germany, September 28-30, 2009.

E. Budyn, T. Hoc and J. Jonvaux, ―Physical Imaging of Microcracks in Human Cortical Bone,‖ CMBE,

Computational and Mathematical Biomedical Engineering, Swansea, Wales, June 29- July 1, 2009.

M. Curtis, E. Budyn, T. Desai, T. Hoc and B. Russell, ―Micro-scale Based Anchorage in 3D Alters the Mechanics

of Cardiac Myocyte Contraction,‖ ECCM, European Conference on Computational Mechanics, Paris, France,

May 16-21, 2010.

E. Budyn, J. Jonvaux and T. Hoc, ―Characterisation of Microfracture in Human Cortical Bone using Physical

Imaging,‖ ECCM, European Conference on Computational Mechanics, Paris, France, May 16-21, 2010.

E. Budyn, T. Hoc and J. Jonvaux, ―Toughness of Micro-cracks in Human Cortical Bone using Physical Imaging,‖

Bioengineering, Oxford, England, September 24-25, 2009.

E. Budyn, J. Jonvaux and T. Hoc, ―Local Toughness Assessment of Micro Cracks in Human Cortical Bone under

Different Loading Conditions,‖ 10th USNCCM (United States National Congress on Computational Mechanics),

Columbus, Ohio, July 16-19 2009.

M. Curtis, E. Budyn, T. Desai and B. Russell, ―Microstructure in 3D affect Cardiac Myocyte Shortening,‖ 10th

USNCCM, Columbus, Ohio, July 16-19, 2009.

E. Budyn, J. Jonvaux and T. Hoc, ―Physical Imaging of Mixed-Mode Micro-Cracks in Human Cortical Bone,‖

WCCM World Congress on Computational Mechanics, Sydney, Australia, In press.

Houshang Darabi

F. Schuler and H. Darabi, ―Supervisory Control and Data Collection Policies for a Distribution Center Modeled as

a Discrete Event System,‖ Proceedings of IEEE Conference on Networks, Sensing, and Control, pp. 177 – 182,

April 2010.

M. Haji and H. Darabi and A. Heuristic, ―Algorithm for Schedule Reconfiguration of Projects during Execution,‖

Proceedings of IEEE Conference on Service Operations, Logistics, and Informatics, pp. 400 – 405, July 2009.

Elodie Goodman

P.-C. DeLaurentis, E. Adida and M. Lawley, ―Hospital Stockpiling for Disaster Planning,‖ Proceedings of the

Industrial Engineering Research Conference, In press.

David He

D. He, R. Li and E. Bechhofer, ―Split Torque Type Gearbox Fault Detection using Acoustic Emission and

Vibration Sensors,‖ Proceedings of the IEEE International Conference on Networking, Sensing and Control,

Chicago, IL, April 10 – 12, 2010.

R. Li, J. Ma, A. Panyala and D. He, ―Hybrid Ceramic Bearing Prognostics using Particle Filtering,‖ Proceedings

of the Conference of the Society for Machinery Failure Prevention Technology, pp. 57 – 69, Huntsville, AL, April

13 – 15, 2010.

V. Jayaraman and D. He, ―Crack Fault Diagnosis in Drive Shafts using Inverse Method,‖ Proceedings of The

Conference of the Society for Machinery Failure Prevention Technology, pp. 181 – 198, Huntsville, AL, April 13

– 15, 2010.

R. Li, D. He and E. Bechhoefer, ―Gear Fault Location Detection for Split Torque Gearbox using AE Sensors,‖

Proceedings of the American Helicopter Society (AHS) International Forum, Phoenix, AZ, May 10 – 13, 2010.

E. Bechhoefer, P. Menon and D. He, ―A Control Theory Approach to Machinery Health Prognostics,‖

Proceedings of the American Helicopter Society (AHS) International Forum, Phoenix, AZ, May 10 – 13, 2010.


172

D. He, P. Menon, R. Li, S. Seckiner and E. Bechhoefer, ―Gear Fault Location Detection for Split Torque Gearbox

using AE Sensors,‖ Proceedings of the Annual Conference of the Prognostics and Health Management Society,

Portland, OR, In press.

E. Bechhoefer, S. Clark and D. He, ―A State Space Model for Vibration Based Prognostics,‖ Proceedings of the

Annual Conference of the Prognostics and Health Management Society, Portland, OR, In press.

Farzad Mashayek

H. Kanchi, K. Sengupta, G. B. Jacobs and F. Mashayek, ―Large-eddy Simulation of Compressible Flow over

Backward-facing Step Using Chebyshev Multidomain Method,‖ AIAA Aerospace Sciences Meeting, January

2010.

H. Kanchi, K. Russell and F. Mashayek, M. J. Anderson, S. P. Beard and P. J. Strykowski, ―Experimental and

Computational Studies to Advance Operability and Performance of Combustion Systems Adopting Fluidic

Control,‖ Proceedings of the 22nd

ONR Propulsion Meeting, Crystal City, VA, June 22-24, 2010.

K. Russell, H. Kanchi and F. Mashayek, ―Performance of Subsonic Microjets in Planar Dump Combustors for

Efficient Flame Holding,‖ AIAA International Energy Conversion Engineering Conference, In press.

W. J. Minkowycz

R. D. Lovik, J. P. Abraham, W. J. Minkowycz and E. M. Sparrow, ―Laminarization and Turbulentization in a

Pulsatile Pipe Flow,‖ Numerical Heat Transfer, Part A, 56, pp. 861-879, 2009.

A. Haji-Sheikh, W. J. Minkowycz and S. Manafzadeh, ―Heat Transfer with Upstream Thermal Penetration in

Flow Through Porous Plate Passages,‖ Applied Thermal Engineering, 30, pp. 639-648, 2010.

K. K. Q. Zhang, B. Shotorban, W. J. Minkowycz and F. Mashayek, ―A Comprehensive Approach for Simulation

of Capillary Jet Breakup,‖ Int. J. Heat and Mass Transfer, 53, pp. 3057-3066, 2010.

J. P. Abraham, E. M. Sparrow and W. J. Minkowycz, ―Internal-Flow Nusselt Numbers for the Low-Reynolds

Number End of the Laminar-to-Turbulent Transition Regime,‖ Int. J. Heat and Mass Transfer, In press.

A. Haji-Sheikh, W. J. Minkowycz and S. Manafzadeh, ―Axial Conduction Effect in Flow Through Circular

Porous Passages—With Prescribed Wall Heat Flux,‖ Heat and Mass Transfer, In press.

Laxman Saggere

S. Krishnan, C. Pelzmann and L. Saggere, ―Design and Development of a Chipscale Multifingered

Micromanipulator System for Coordinated Microassembly,‖ Proc. of the ASME International Design Engineering

Technical Conferences & Computers and Information in Engineering Conference, , San Diego, CA, USA, 11

pages, August 30-September 2, 2009.

Michael Scott

S. Ghotbi, M. J. Scott and J. A. Donndelinger, ―Assessing Fusibility in Enrichment Methods for Disparate

Customer Data Sets,‖ Proceedings of IDETC/CIE, ASME International Design Engineering Technical

Conferences & Computers and Information in Engineering Conference, 2009.

Ahmed Shabana

D. Weed, L. G. Maqueda, M. A. Brown, B. A. Hussein and A. A. Shabana, ―Ligament, Muscle, and Soft Tissue

Modeling Based on the Integration of Large Deformation Finite Element and Multibody System Algorithms:

Application to Knee Joints,‖ Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics,

Warsaw, Poland , June 29 – July 2, 2009.

B. Marquis, K. E. Zaazaa, T. Z. Sinokrot and A. A. Shabana, ―Accurate Geometric Description of Spirals in

Railroad Vehicle Dynamic Simulations,‖ Proceedings of the ASME Design Engineering Technical Conferences &

Computers and Information in Engineering Conference, San Diego, California, August 30 - September 2, 2009.

L. G. Maqueda, A. A. Mohamed and A. A. Shabana, ―Use of General Nonlinear Material Models in Beam

Problems: Application to Belt and Rubber Chain,‖ Proceedings of the ASME Design Engineering Technical

Conferences & Computers and Information in Engineering Conference, San Diego, California, August 30 –

September 2, 2009.


173

A. Afshari and A. A. Shabana, ―On the Choice of the Contact Frame in Railroad Vehicle Dynamics,‖ Proceedings

of the ASME Design Engineering Technical Conferences & Computers and Information in Engineering

Conference, San Diego, California, August 30 - September 2, 2009.

A. A. Nada, B. A. Hussein, S. M. Megahed and A. A. Shabana, ―Floating Frame of Reference and Absolute Nodal

Coordinate Formulations in the Large Deformation Analysis of Robotic Manipulators: A Comparative

Experimental and Numerical Study,‖ Proceedings of the ASME Design Engineering Technical Conferences &

Computers and Information in Engineering Conference, San Diego, California, August 30 - September 2, 2009.

P. Lan and A. A. Shabana, ―Integration of Computer Aided Design and Analysis Using the Rational Finite

Element Method,‖ Presented at the ASME Design Engineering Technical Conferences & Computers and

Information in Engineering Conference, San Diego, California, August 30 - September 2, 2009.

C. Rathod and A. Shabana, ―Modeling Structural Flexibility in Railroad Vehicle Systems,‖ Proceedings of the

Joint Rail Conference, paper # JRC2010-36188, Urbana, Illinois, pp. 27-29, 2010.

174

PhD GRADUATES

This chapter reports on PhD students graduated during Summer 2009, Fall 2009, and Spring 2010. Graduates are

listed with their starting or current employment, if known.

BIOENGINEERING

Ryan John Roth, ―The P14 Residue of Antithrombin Mediates the Heparin-Activated Conformational Switch‖

Placement: Northwestern University Medical School

Advisor: S. Olson

Vivek Shekhawat, ―Influence of Kinematics on Mechano-Biological Response of Articular Cartilage - An In Vitro

Investigation‖

Placement: InSciTech, San Francisco, CA

Advisor: M. Wimmer

Matthew Benjamin Spraker, ―Role of the Basal Ganglia in Force Control in Health and Early Stage Parkinson‘s

Disease‖

Placement: UIC Medical School

Advisor: D. Vaillancourt

Rodolfo Gatto, ―Estimation of Instantaneous Heart Rate Using Video Infrared Thermography and ARMA Models‖

Placement: Research Scientist, West Institute for Science and Education

Advisor: S. Porges

Lissette Marie Ruberte Thiele, ―Effect of Lumbar Disc Degeneration of Spine Biomechanics and Trunk Muscle

Recruitment Patterns‖

Placement: Exponent

Advisor: R. Natarajan

Adeola Fadekemi Adewola, ―Optimizing Human Islet Assessment and Culture Before Transplantation‖

Placement: Unknown

Advisor: J. Oberholzer

Lacey Erin Bresnahan, ―Effects of Surgery on Lumbar Spine Biomechanics‖

Placement: Unknown

Advisor: R. Natarajan

John Michael Collins, ―Stem Cells are Affected by Physical and Chemical Components of the Microenvironmental

Niche‖

Placement: Applications Scientist, NanoInk, Inc.

Advisor: B. Russell

Arpita Kadakia, ―Hybrid Superporous Scaffolds: An Application for Corneal Tissue Engineering‖

Placement: Unknown

Advisor: M. Cho

Joseph Kuechle, ―Targeted Modulation of Adult Human Proliferation: Towards Ex Vivo Expansion for Diabetes

Treatment‖

Placement: Unknown

Advisor: J. Oberholzer

Milana-Coorg Vasudev, ―Biomedical Applications of Manmade Nanostructures Integrated With Biomolecules‖

Placement: Unknown

Advisor: M. Stroscio

PhD Graduates

175


Jelena Jelic, ―Density Functional Theory Studies of NOx Storage Reduction Catalysts‖

Placement: Fritz Haber Institute - Berlin

Advisor: R. Meyer

Manish Kumar Singh, ―Metalorganic Chemical Vapor Deposition of Multiferroic BiFeO3 Films Using a New

Precursor Combination‖

Placement: Nalco - India

Advisor: C. Takoudis

Huajin Yuan, ―MD Simulations of Membrane Related Equilibrium and Non-Equilibrium Process: Gas Permeation

and Solubility‖

Placement: UIC-Chemical Engineering Department (Postdoctoral Student)

Advisor: S. Murad

Lin Jiang, ―Enhancement of Field-Effect Mobility of Organic Thin Film Transistors‖

Placement: Nalco - China

Advisor: C. Takoudis

Yu Lei, ―Experimental Studies of Model Catalysts: Linking Structure and Reactivity‖

Placement: Argonne National Laboratory – Argonne, IL

Advisor: R. Meyer


Xiuhong Zhao, ―Methyl Mercury in Dental Wastewater‖

Placement: Post doc, Rutgers University

Advisor: K. Rockne

Alberto Polar, ―Electromagnetic Detection and Monitoring of Creep Induced Damage in High Temperature

Resistant Steels‖

Placement: North American Stainless Steel, Kentucky

Advisor: Indacochea

Marcin Tlustochowicz, ―Tribology of Carbide Derived Carbon Films Synthesized on Tungsten Carbide‖

Placement: CTL Consulting, Skokie, IL

Advisor: M. McNallan

Jayashree Jayaraj, ―Fate Analysis of Polybrominated Diphenyl Ethers in Anaerobic Digester Sludge‖

Placement: Scientist, US Environmental Protection Agency

Advisor: K. Rockne

Ke Yin, ―Modeling Active Capping Potential of Contaminated Sediments‖

Placement: Post Doc, Hong Kong Technical University

Advisor: K. Rockne

Michael Arthur O'Leary, ―The Equation of Dynamic Crack Growth‖

Placement: Unknown

Advisor: A. Chudnovsky

Amir Samimi, ―A Behavioral Mode Choice Microsimulation Model for Freight Transportation in the U.S.‖

Placement: Assistant Professor at Tehran Polytechnic University, Iran

Advisor: K. Mohammadian


176

COMPUTER SCIENCE

Davide Fossati, ―Automatic Modeling of Procedural Knowledge and Feedback Generation in a Computer Science

Tutoring System‖

Placement: Post-doc, Georgia Tech University

Advisor: B. Di Eugenio

Yong Mao, ―FastPara and PeerRing: Two Systems in Support of Data Parallel Computing‖

Placement: The Find Inc.

Advisor: B. Liu

Venkatram Vishwanath, ―LambdaRAM: A High-Performance, Multi-Dimensional, Distributed Cache Over Ultra-

High Speed Networks"

Placement: Argonne Nation Labs

Advisor: J. Leigh

Cynthia Kersey, ―Knowledge Co-Construction and Initiative in Peer Learning Interactions‖

Placement: Assistant Professor, Lewis University, Romeoville, IL

Advisor: B. Di Eugenio

Saad Inaam Sheikh, ―Combinatorial Methods in Kinship Analysis‖

Placement: Postdoc, LIX, École Polytechnique, France

Advisor: T. Berger-Wolf

Marina Langlois, ―Knowledge Representation and Related Problems‖

Placement: Unknown

Advisor: R. Sloan

Shun Liang, ―Design and Validation of a High Performance Continuous Curvilinear Capsulorrhexis Simulator‖

Placement: Epic Systems, Madison, WI

Advisor: P. Banerjee

Chad Austin Williams, ―A Data Mining Approach to Rapidly Learning Traveler Activity Patterns for Mobile

Applications‖

Placement: Assistant Professor, MCS Dept., Bemidji State University (Bemidji, MN)

Advisor: P. Nelson


Lorenzo Lo Monte, ―Radio Frequency Tomography for Underground Void Detection‖

Placement: General Dynamics

Advisor: D. Erricolo

Xiang Ma, ―Motion Trajectory-Based Video Retrieval and Recognition: Tensor Analysis and Multi-Dimensional

HMM‖

Placement: IntuVision, Inc.

Advisor: D. Schonfeld and A. Khokhar

Pan Pan, ―Video Tracking Based on Particle Filters: Particle Allocation, Graphical Models and Performance

Evaluation‖

Placement: Fujitsu Research & Development Center Co., Ltd., China

Advisor: D. Schonfeld

PhD Graduates

177

Isa Yildirim, ―Estimation of Retinal Vascular Oxygen Tension Using Phosphorescence Lifetime Imaging‖

Placement: Istanbul Technical University, Turkey, Assistant Professor

Advisor: R. Ansari

Rongjun Huang, ―Soft Switched DC/dc Converter for High Power High-Frequency-Link Power System‖

Placement: International Rectifier

Advisor: S. Mazumder

Hongzhong Zheng, ―Memory Power and Performance Optimizations for Contemporary Computer System Design‖

Placement: Rambus Inc.

Advisor: Z. Zhu

Chong Chen, ―Multi-Camera Vision Systems: Pose Estimation and Plenoptic Imaging‖

Placement: Samsung Information Systems America


Xu Chen, ―Robust View-Invariant Representation for Classification and Retrieval in Image and Video Data‖

Placement: University of Michigan of Ann Arbor, Post-Doc, Dept of EECS


Jennene C. Fields, ―A New Approach to Drug Delivery Systems Based on Magnetic Nanoparticles‖

Placement: Unknown

Advisor: V. Metlushko

Maxim Kolesnikov, ―Improving the Realism of Haptic Interaction for Teaching of Sensorimotor Skills‖

Placement: Rehabilitation Institute of Chicago

Advisor: M. Zefran

Junlan Yang, ―Virtual Video Enhancement for Handheld Mobile Cameras: Stabilization, Auto-Focus and Super-

Resolution‖

Placement: iKoa Corp.


Yanyan Zhang, ―The Design and Analysis of Planar Electrically Small Antennas‖

Placement: Ophir RF

Advisor: H.Y. Yang


Lusine Baghdasaryan, ―Information Updates and Inventory Decisions for Supply Chain Management‖

Placement: Laureate Higher Education Group, Baltimore, MD.-Senior Operation Research Analyst

Advisor: H. Darabi

Zhanjun Feng, ―3-D Velocimetry System and Entire Flow Mapping Around Large-Scale Parachutes‖

Placement: Chinese National Petroleum Corp., Project Engineer

Advisor: S.S. Cha

Sandeep Krishnan, ―Development of Strategies and Advanced Tools for Complex Micromanipulation‖

Placement: Veeco Inc., Research Scientist

Advisor: L. Saggere

Kaustav Sengupta, ―Direct and Large-Eddy Simulation of Compressible Flows With Spectral/hp Element Methods‖

Placement: Boeing

Advisor: F. Mashayek


178

Manish Kumar Tiwari, ―Functional Nanocomposites and Dispersions: Synthesis, Characterization and Performance

Evaluation‖

Placement: Post Doc ETH, Zurich Switzerland

Advisor: C. Megaridis

Keqin Zhang, ―Parallel Simulation of Incompressible Free-Surface Flows‖

Placement: MS student in Physics Department, UIC


Brad Culbertson, ―Homogeneous and Heterogeneous Reaction Rates for the Reactions of Carbon With Carbon

Dioxide and Water‖

Placement: Honeywell Aerospace, Tuczon, AZ , Senior Engineer

Advisor: K. Brezinksy

Srivani Sirisha Motamarri, ―Adaptive Exercise Machine Control for Persons With Disabilities‖

Placement: Servo Tech, Senior Engineer

Advisor: S. Cetinkunt

Tariq Z. Sinokrot, ―A New Method for Nonlinear Dynamic Modeling of Wheel/Rail Multiple Contacts‖

Placement: LMS, Iowa City

Advisor: A. Shabana

Sibendu Som, ―Development and Validation of Spray Models for Investigating Diesel Engine Combustion and

Emissions‖

Placement: Argonne National Lab, Post Doc Fellow

Advisor: S. Aggarwal

Khalid S. Mekki, ―Reliability Function Deployment in Conceptual Product Development Phases‖

Placement: Baxter International Inc., Manager I, Business Excellence

Advisor: D. He

Ahmed Adel Elezaby, ―Virtual Autonomous Operator Model for Construction Equipment Applications‖

Placement: Unknown

Advisor: S. Cetinkunt

Mihajli Golubovic, ―Nanofluids and Critical Heat Flux, an Experimental and Analytical Study‖

Placement: Unknown

Advisor: W. Worek

Hettiarachchige Don Madhawa Hettiarachchi, ―A Numerical Study of Flow and Heat Transfer in Microchannels‖

Placement: Post doctoral Research Associate, Department of Bioengineering, UIC

Advisor: W. Worek

Bassam Abd Ellatif Hussein, ―Numerical Integration of Stiff Differential/Algebraic Equations of Flexible Multibody

Systems‖

Placement: Assistant Professor, Cairo University

Advisor: A. Shabana

Ghazi Malkawi, ―Point-to-Plane and Plane-to-Plane Electrostatic Charge Injection Atomization for Insulating

Liquids‖

Placement: Unknown


PhD Graduates

179

Faik C. Meral, ―Advancing MR-Based Elastography Through Improved Instrumentation, Resolution, and Materials

Modeling‖

Placement: Postdoctoral Research Fellow, Focused Ultrasound Laboratory, Brigham & Women‘s Hospital, Harvard

Medical School

Advisor: T. Royston

Srikar Raman, ―Mechanics of Mass, Energy and Momentum Transfer in Complex Textured Materials at

Micro/Nanoscales‖

Placement: General Electric, India

Advisor: A. Yarin

Nahid Sedighi, ―Investigation of Spreading Characteristics of Nano-Droplet on Solid Substrate Using MD

Simulations‖

Placement: Unknown

Advisor: S. Aggarwal

180

FACULTY AWARDS AND HONORS

This chapter reports on a sample of significant faculty awards and honors received in research and professional

service during the period of July 1, 2009 to June 30, 2010.

BIOENGINEERING

Christos Takoudis

Invited Speaker, International Conference from Nanoparticles and Nanomaterials to Nanodevices and Nanosystems,

Rhodes, Greece, June 28 – July 3, 2009.

International Advisory Board Member of the Institute for Biomedical Research and Technology, Greece, 2008-

2011.


John Regalbuto

NSF Director‘s Commendation for ―Vision and Promotion of Hydrocarbon Biofuels,‖ August 2009.

Christos Takoudis

Invited Speaker, International Conference from Nanoparticles and Nanomaterials to Nanodevices and Nanosystems,

Rhodes, Greece, June 28 – July 3, 2009.

International Advisory Board Member of the Institute for Biomedical Research and Technology, Greece, 2009.


Eduard Karpov

―Nonequilibrium Chemovoltaic Fuel Cell International,‖ Pub. No.: WO/2010/014869, April 2, 2010.

Jie Lin

Best Paper Award, D. Ayala, J. Lin and O. Wolfson, ―Communication Reduction for Floating Car Data based

Traffic Information Systems,‖ The Second International Conference on Advanced Geographic Information Systems,

Applications, and Services, GEOProcessing, St. Maarten, Netherlands Antilles, February 10-16, 2010.

Krishna Reddy

Keynote Presenter, American Institute of Professional Geologists (AIPG)-Illinois/Indiana Section, Spring Meeting,

Lisle, Illinois, April 22, 2010.

Keynote Presenter, International Conference on Advances in Concrete, Structural and Geotechnical Engineering,

Birla Institute of Technology & Science, Pilani, India, October 25, 2009.

Keynote Presenter, International Conference on Developments on Expansive Soils (INDEX-09), Hosur, India,

August 28, 2009.

Karl Rockne

(Invited Researcher) Chercheur invité, L‘École Nationale Des Ponts et Chaussées, Centre d‘Enseignement et de

Recherche sur l‘Eau, la Ville, et l‘Environnement, 2009.

COMPUTER SCIENCE

Jakob Eriksson

Best Paper Award, SenSys 2009.

Faculty Awards and Honors

181

Ajay Kshemkalyani

ACM Distinguished Scientist, 2009.


Best Paper Award, for P. Bisht, A. P. Sistla and V. N. Venkatakrishnan, ―Automatically Preparing Safe SQL

Queries,‖ Proceedings of Financial Cryptography and Data Security, Tenerife, Spain, January 2010.

NSF CAREER Award: ―A Framework for Preventing Web-based Attacks,‖ five years beginning 09/01/2009.

Ouri Wolfson

Best Paper Award, ―Uncertain Range Queries for Necklaces,‖ 11th International Conference on Mobile Data

Management, MDM, 2010.

Fellow of the American Association for the Advancement of Science (AAAS), 2009.

Keynote Speaker, Mobilware, The Third International ICST Conference on MOBILe Wireless MiddleWARE,

Operating Systems, and Applications, Chicago, IL, July 2010.

Philip Yu

―Model-based Self-Optimizing Distributed Information Management,‖ with X. Gu and S. Chang, US Patent

7,720,841, May 18, 2010.

―Methods and Apparatus for Generating Decision Trees with Discriminants and Employing Same in Data

Classification,‖ with C. Aggarwal, US Patent 7,716,154, May 11, 2010.

―System and Method for Ranked Keyword Search on Graphs,‖ with H. He and H. Wang, US Patent 7,702,620,

April 20, 2010.

―System and Method for Historical Diagnosis of Sensor Networks,‖ with C. Aggarwal, US Patent 7,676,458, March

9, 2010.

―Method and Apparatus for Hierarchical Selective Personalization,‖ with D. M. Dias, P. M. Dantzig and A. K.

Iyengar, US Patent 7,631,081, December 8, 2009.

―System and Method for Learning Models from Scarce and Skewed Training Data,‖ with H. Wang and J. Yin, US

Patent 7,630,950, December 8, 2009.

―Method and Apparatus for Adaptive Load Shedding,‖ with B. Gedik and K. L. Wu, US Patent 7,610,397, October

27, 2009.

―System and Method for Mining Time-Changing Data Streams,‖ with W. Fan and H. Wang, US Patent 7,565,369,

July 21, 2009.

―System and Method for Sequence-based Subspace Pattern Clustering,‖ with W. Fan and H. Wang, US Patent

7,565,346, July 21, 2009.

―Systems and Methods for Optimal Component Composition in a Stream Processing System,‖ with X. Gu, US

Patent 7,562,355, July 14, 2009.


Danilo Erricolo

U.S. Air Force Summer Faculty Fellow, 2009.


182

Alan Feinerman

Advising UIC MBA entrepreneurial team that is commercializing pending UIC patent. The team won $75k in-kind

services and $15k in cash in numerous national and international business plan competitions, and they were a

semifinalist at the Moot Corp Competitions, the ―Super bowl‖ of business plan competitions, May, 2010.

Sudip Mazumder

S. K. Mazumder and R. Huang, ―Multiphase Converter Apparatus and Method,‖ USPTO Patent Application

US2009/0196082 A1, Filed by University of Illinois at Chicago, 2010.

Philip Yu

―Model-based Self-Optimizing Distributed Information Management,‖ with X. Gu and S. Chang, US Patent

7,720,841, May 18, 2010.

―Methods and Apparatus for Generating Decision Trees with Discriminants and Employing Same in Data

Classification,‖ with C. Aggarwal, US Patent 7,716,154, May 11, 2010.

―System and Method for Ranked Keyword Search on Graphs,‖ with H. He and H. Wang, US Patent 7,702,620,

April 20, 2010.

―System and Method for Historical Diagnosis of Sensor Networks,‖ with C. Aggarwal, US Patent 7,676,458, March

9, 2010.

―Method and Apparatus for Hierarchical Selective Personalization,‖ with D. M. Dias, P. M. Dantzig and A. K.

Iyengar, US Patent 7,631,081, December 8, 2009.

―System and Method for Learning Models from Scarce and Skewed Training Data,‖ with H. Wang and J. Yin, US

Patent 7,630,950, December 8, 2009.

―Method and Apparatus for Adaptive Load Shedding,‖ with B. Gedik and K. L. Wu, US Patent 7,610,397, October

27, 2009.

―System and Method for Mining Time-Changing Data Streams,‖ with W. Fan and H. Wang, US Patent 7,565,369,

July 21, 2009.

―System and Method for Sequence-based Subspace Pattern Clustering,‖ with W. Fan and H. Wang, US Patent

7,565,346, July 21, 2009.

―Systems and Methods for Optimal Component Composition in a Stream Processing System,‖ with X. Gu, US

Patent 7,562,355, July 14, 2009.

Zhichun Zhu

NSF CAREER Award: ―Scalable and Universal Architecture for Next-Generation Memory,‖ five years beginning

June 1, 2010.


Suresh Aggarwal

Editorial Board, International Journal of Green Energy, 2010.

Elisa Budyn

Best Paper Award for M. Curtis, E. Budyn, T. Desai, T. Hoc and B. Russell, ―Microstructures in 3D Affect Cardiac

Myocyte Hypertrophy and Shortening,‖ Bioengineering, Oxford, England, September 24–25, 2009.

Houshang Darabi

Best Paper Award Nomination, IEEE Conference on Service Operations, Logistics and Informatics, 2009.

Faculty Awards and Honors

183

Laxman Saggere

Best Paper Award at the 3rd

International ASME Conference on Micro and Nanosystems, 2009.

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