June 9-12, 2009

Welcome to Bridgeport• Located between New

York City (60 miles) and Boston (150 miles)

• Accessible by car, rail, air and ferry

• Connecticut’s largest city

• Several local hotels (Holiday Inn, Marriott, etc.)

• Nearest airports: JFK (64 miles), Laguardia (60 miles), Hartford (70 miles), Newark (75 miles)

Bridgeport

• Diverse people and cultures

• Tourist Attractions– P.T. Barnum circus

museum– Discovery museum and

planetarium– Beardsley Zoo– Downtown cabaret theater– Bridgeport Bluefish

(Baseball) and Sound Tigers (Ice Hockey)

University of Bridgeport

• An international, doctoral intensive comprehensive university, with award-winning academic programs.

• UB’s 50-acre campus is flanked by the Seaside Park and Long Island Sound

• Weather in mid June is mild. Average high is 24°C and the average low is 16°C. Rainfall averages 90.7 mm.

• Ideally located

– Beaches 2-3 minute walk

– Close to metro north rail station

ENROLLMENT (Since 1992…)

2000 2001 2002 2003 2004 2005 2006 2007 Growth

TOTAL 2,973 3,162 3,173 3,165 3,274 3,626 4,018 4,752 60%

1992 1994 1996 1998 2000

1,000

2,000

3,000

4,000

1,383

2002 2004 2005 2006

4,018

2007

4,752

3,626

University Campus

University Surroundings

School of Engineering Fastest growing School of

Engineering in the nation, among the 300+ accredited engineering schools

Largest graduate engineering program in Connecticut (over 1300 students) and one of the three largest engineering programs in New England

Prof. Tarek Sobh, Dean of the School of Engineering and the University Vice President for Graduate Studies and Research will Co-Chair REV 2009.

School of Engineering• The SOE offers undergraduate degrees in Computer

Science and an ABET-accredited Computer Engineering degree.

• Master's degrees in Electrical Engineering, Computer Engineering, Computer Science, Mechanical Engineering and TechnologyManagement.

• Ph.D. degree in  Computer Science and Engineering.

ENGINEERING

• The fastest growing School of Engineering in the nation (among 300+ accredited engineering schools)• The largest graduate engineering program in CT• One of the three largest engineering programs in New England• The only Ph.D. program in Computer Science and Engineering in New England• Dual degree programs• More than 75 full and part time faculty members

Number of SOE Graduate Student

FA 2005 FA 2006 FA 2007

360 590 1,259

ENGINEERING

“UB’s Engineering School, with 1,250 students, is among

top three for enrollment in New England.”

CT Post 11/22/2007

“UB’s Engineering School, with 1,250 students, is among

top three for enrollment in New England.”

CT Post 11/22/2007

Conferences• The School of Engineering has been the host of the largest

international engineering research conference held on line for the last three years. CISSE (The International Joint Conferences on Computer, Information and Systems Sciences and Engineering) is the first high-caliber Research Conference in the world to be completely conducted online in real-time via the internet.

• The School of Engineering recently started to host a colloquium series with vibrant and renowned speakers. Five internal and five external speakers are scheduled for every semester. This series has attracted regional attention and features world-class scholars and industry pioneers. In April 2008, the SOE hosted the IEEE Computer Society Spring Workshop.

• The School of Engineering has been chosen to host two major international and regional conferences in 2009:

• REV (Remote Engineering and Virtual Instrumentation)• ASEE (American Society for Engineering Education)

Facilities

Facilities

• 16 state of the art computer/instruction labs.

• Sample of Distinguished Research labs:

– RISC Project Lab. (Interdisciplinary Robotics, Intelligent Sensing, and Control): Director Prof. Tarek Sobh

– Wireless & Mobile Communications (WMC) Project Lab.: Director Prof. Khaled Elleithy

– VLSI/FPGA Project Lab. – Multimedia Information Group (MIG) Project Lab.: Director Prof.

Jeongkyu Lee – PLC Lab.: Director Prof. Jack Toporovsky

Multimedia Information Group (MIG) Laboratory

MIG@UB

• Multimedia Information Group @ UB– Department of Computer Science and Engineering at UB, CT

• Location: Charles A. Dana Hall #234

• People– Prof. Jeongkyu Lee– 2 PhDs and 2 MS students

• Collaborators– Prof. JungHwan Oh at UNT– Prof. Shou-jiang Tang at UTSW – Prof. Dongwon Lee at PSU

http://www.bridgeport.edu/~jelee/mig

UNIVERSITY OF BRIDGEPORTUNIVERSITY OF BRIDGEPORT

Multimedia Information GroupMultimedia Information Group

Our Vision

Modeling and Design Data Analysis and Mining Index and Query Process System and Application

Low-levelapproach

High-level approach

Database Research

Multimediaunderstanding

raw video miningvideo segmentation

video surveillance miningvideo parsingEarly Research

medical video analysisSTRG-IndexBLASTed Image Matchinggraph-based model Video copy detection

SmartView (WCE)

Current ResearchTaeKwonDo videos

graph-based SBD

GVDBMSApplications- medical DB- spatio-temporal DB- UAV

STRG-QLknowledge discovery from Videos

Future Research

MM Ontology

http://www.bridgeport.edu/~jelee/mig

Multimedia Information GroupMultimedia Information GroupUNIVERSITY OF BRIDGEPORTUNIVERSITY OF BRIDGEPORT

Active Research

http://www.bridgeport.edu/~jelee/mig

• Developing algorithms and S/W for event detections from WCE (Wireless Capsule Endoscopy) videos• Funded from IntroMedic, Co. Ltd., Korea• Collaborator: Dr. Tang at UTSW, Dr. Oh at UNT

TaeKwonDo project

Vlinkage: Video Linkage project Multimedia Ontology

SmartView project• Developing algorithm and prototype system for automatic judge of TaeKwonDo poomsae• Sponsor: International College at UB, WTF• Collaborator: Prof. Kim of Martial Art dept. at UB

• Developing a noble method for video and image matching• Applicatoin1: Video Copy Detection for YouTube• Applicatoin2: BIM (BLASTed Image matching)• Collaborator: Dr. Dongwon Lee at Penn State University

CNN

NBC

MLB

Movie

Search Policy

Find copied videos from Very Large Video Database

Scalability+

Search Content

based Video Search

• Developing a new algorithm for automatic generation of Multimedia Ontology• Target applications: Medical videos, Surveillance camera, and Military videos• Looking for sponsors

MIG

UNIVERSITY OF BRIDGEPORTUNIVERSITY OF BRIDGEPORT

Multimedia Information GroupMultimedia Information Group

Robotics, Intelligent Sensing and Control Lab

(RISC)

University of BridgeportSchool of Engineering

Outline of Outgoing Project• Online Automation and Control: An Experiment in Distance

Engineering Education

• E-Learning: Case Studies in Web-Controlled Devices and Remote Manipulation

• Prototyping Environment for Robot Manipulators

• Manipulator Workspace Generation and Visualization in the Presence of Obstacles

• Kinematic Synthesis of Robotic Manipulators from Task Descriptions

• New concept in optimizing the manipulability index of serial Manipulators using SVD method

Outline of Outgoing Project

• Recovering 3-D Uncertainties from Sensory Measurements for Robotics Applications

• Industrial Inspection and Reverse Engineering

• Sensing Under Uncertainty for Mobile Robots

• Robot Design and Dynamic Control Simulation Software Solutions From Task Points Description.

• RISCBot II

Online Distance Laboratories

• Using Automation and Telerobotic (controlling devices from a distance) systems

• Real-time laboratory experience via the internet

1. Tele-operation of Mitsubishi Movemaster

2. RISCBOT – A Web Enabled Autonomous Navigational Robot

3. Tele-operation of the FESTO Process Controller

Capabilities and Research Facilities

• Sensing under uncertainty.• Sensor-based distributed control schemes.• Control and planning for autonomous mobile systems.• Modeling and recovering uncertainty in 3-D structure and motion. • Dynamics and kinematics generation and analysis for multi-DOF

robots.• Active observation and control of a moving agent under uncertainty.• Automation for genetics application.• Manipulator workspace generation in the presence of obstacles.• Turbulent flow analysis using sensors within a DES framework

Other Projects

RISC

RISC

Workspace Dimensionsand Coordinates of the Task-Points

Velocity and AccelerationRequirements

Obstacles, Working Medium, and Trajectory Biases

Restrictions on ManipulatorConfiguration

School of EngineeringUniversity of Bridgeport

Manipulability Bands of Puma 560 in 2D workspace

RISCbot II

Wireless & Mobile Wireless & Mobile Communications (WMC) Communications (WMC)

Laboratory Laboratory

Current Research Projects Current Research Projects

1. Wireless Multiuser Communications for Cellular and Mobile Networks

• BER and SNR Analysis of DS-CDMA Cellular Networks

• Multiple Access interference (MAI) Cancellation for Wireless Multiuser Receivers

• Analysis of Processing Gain for Wireless Multiuser DS-CDMA Systems

• Computational Complexity and Algorithm Optimization for 3G Cellular Networks

Research ProjectsResearch Projects

2. Wireless Mesh Networks• The Use of Orthogonal Frequency Code Division

(OFCD) in Broadband Wireless Mesh Networks

• Efficient Routing Algorithms for Wireless Mesh-Hypercube (M-H) Networks

Research Projects (Cont..)Research Projects (Cont..)

3. Mobile Ad Hoc Networks (MANET)• The Best and Worst Case Capacity Analysis of MANET

• Efficient DSR Based Routing Scheme for MANET

• Minimizing the Malicious Behavior of Mobile Nodes for Maximizing the MANET Data Throughput

4. Wireless Sensor Networks1. Resource Optimization in Wireless Sensor Networks Via

Self-Adaptive Methodology

2. Minimizing the Energy Consumption of Wireless Sensor Nodes Using Active Node Optimization Method

Related Recent ResultsCDMA Receiver: Multiuser Receiver

• A class of CDMA receivers known as multiuser receivers

• It exploit the available information about the spreading sequences and mobile channel impulse responses of all the CDMA users

• The goal is to improve the performance of the wireless CDMA users

Classification of CDMA detectors

WMC research group focuses on this part

Related Recent Results Antenna Design for Cellular Networks

• Advantages– Co-channel interference

reduction– Collect multipath components– Delay spread reduction– reduce handoff rate– stand alone technique

• Disadvantages – Linear increase in

Interference– Cancel only L-1 interference– Difficult to achieve

convergence in low SNR

Correlator ormatched

filter

Training

-+

Reference

AdaptiveAlgorithim

C1

CL

C2

Elem ent1

E lem entL

E lem ent2

Array Output

One per path

Figure: Adaptive Antenna ArrayWMC research group focuses on the utilization of adaptive antenna array with CDMA systems for achieving optimal performance

Faculty

• The School of Engineering currently has more than 75 full and part time faculty members. The number of full time faculty has doubled in the past two years.

• The School of Engineering faculty have produced more than a dozen books in the past two years on topics varying from Engineering Education, Computing Sciences and Software Engineering, E-Learning, Instruction Technology, Algorithms and Techniques in Automation, Robotics, Industrial Electronics and Telecommunications

• The number of faculty and student scholarly publications in world-class academic conferences and journals in the last three years has been over 400.

Ausif Mahmood

• Video analysis, capture and processing.

• Signal processing.

• Video and data compression technologies.

• Electronics circuit design.

Ausif Mahmood

• Image processing projects such as Object recognition, Face Recognition using Eigen Faces and 2-D FFT.

• Developing various hardware prototypes based on microcontrollers such as controlling image capture.

• Hardware and software development, including having developed some commercial projects involving wireless communication, GPS tracking, and RS-232 communication.

Navarun Gupta

• Programming a real-time digital signal processing (DSP) chip to do specific tasks like filtering, image processing and mathematical calculations.

• Implementing such an autonomous image tracking / detection system.

Neal Lewis and Elif Kongar

They can assist with various forms of simulation including:

• Fluid dynamics of airborne objects.

• Sensitivity analysis using Monte Carlo techniques

• Simulation of multi-step operations using Arena software.

• Simulation and Six Sigma techniques which are recommended in the design stage of the small size product to maximize product reliability.

Xingguo Xiong

• Low power VLSI circuit design and VLSI testing. For the flying UAS bullet project, low power circuit design reduces the power consumption of the control circuits so that the battery life can be extended.

• MEMS (Microelectromechanical Systems) and nanotechnology. By using MEMS technology, the size, weight and cost of the UAS bullet can be greatly decreased. For example, he can develop the MEMS micromotor and other various MEMS sensors/actuators for the UAS bullet.

• Performing shock and vibration simulation/testing for the UAS bullet.

Lawrence Hmurcik

• Electronics circuit design • Microelectronics • Signal processing • Controls • DSP • Circuit Design / Analysis • Simulation • Micro Electronics/ MEMS

See you next year at See you next year at the University of the University of

Bridgeport!Bridgeport!