NSF/ECCS Workshop on Big Data: From Signal Processing to Systems Engineering
Program
Thursday March 21 7:45 Continental breakfast 8:15 Dr. Zhi Tian, PM, NSF/ENG/ECCS Opening remarks 8:30 Nikos Sidiropoulos, University of Minnesota Chair’s welcome, agenda 8:35 Thomas Russell, NSF/MPS Directorate
Eduardo Misawa, NSF/ENG Directorate An Overview of Big Data Activities at NSF
9:15 Frederica Darema, Air Force Office of Scientific Research InfoSymbiotics/DDDAS: From Big Data to New Capabilities
9:45 Michael Mahoney, Stanford University Implementing Randomized Matrix Algorithms in Parallel and Distributed Environments
10:15 Coffee break 10:45 Al Hero, University of Michigan Winnowing signals from massive
data 11:15 Lawrence Carin, Duke University Large-‐Scale Matrix Completion
and Topic Modeling with the integrated nested Laplace approximation (INLA)
11:45 Robert Nowak, University of Wisconsin – Madison Closing the Loop on Big Data 12:15 Lunch 12:45 Lunch 1:15 John Wright, Columbia University In Search of Provably Effective
Algorithms for High-‐Dimensional Imagery Data
1:45 Rene Vidal, Johns Hopkins University Big Data in Computer Vision and Medical Imaging
2:15 Nikos Sidiropoulos, University of Minnesota Big Tensor Data Reduction 2:45 Coffee break 3:15 Break-‐out panels convene:
1. Michael Mahoney, Stanford University, and Dapeng Wu, University of Florida, leads
2. Wotao Yin, Rice University, lead 3. George Karypis, University of Minnesota, lead
Panels: 1) `CS and SP’ 2) ` Math, Statistics, Large-‐
scale Optimization’ 3) `CS and Systems’
4:30 Ed Kearns, NOAA National Climatic Data Center, White House Office of Management and Budget
4:45-‐5:30 Ananthram Swami, ARL, Bob Bonneau, AFOSR, David Guarrera, BAH / DARPA, Carey Schwartz, NRL
Panel discussion: DoD Perspectives on Big Data
6:30 Group dinner – Uncle Julio’s, Ballston
NSF/ECCS Workshop on Big Data: From Signal Processing to Systems Engineering
Program
Friday March 22 7:45 Continental breakfast 8:15 Zhi Tian, NSF, Nikos Sidiropoulos, Univ. of Minnesota Agenda 8:20 Robert Trew, NSF/ENG/ECCS Division Director Overview of ECCS Division 8:45 Michael Mahoney, Stanford University, and Dapeng Wu,
University of Florida bullets from `CS and SP’ break-‐out panel
8:55 Wotao Yin, Rice University bullets from `Math, Statistics, Large-‐scale Optimization’ break-‐out panel
9:05 George Karypis, University of Minnesota bullets from `CS and Systems’ break-‐out panel
9:15 Christos Faloutsos, Carnegie-‐Mellon University Mining Large Graphs and Tensors -‐ Patterns, Tools and Discoveries
9:45 Petros Drineas, Rensselaer Polytechnic Institute Randomization in Numerical Linear Algebra
10:15 Coffee break 10:45 Stephen North, AT&T Labs – Research Software Prototypes for Location
Analytics and Visualization at Scale
11:15 Alex Dimakis, University of Texas at Austin Information Theory for Large-‐Scale Distributed Storage and Processing
11:45 Venu Veeravalli, University of Illinois Urbana-‐Champaign Universal outlier detection 12:15 Lunch 12:45 Lunch 1:15 Georgios Giannakis, University of Minnesota Robust and Scalable Algorithms
for Big Data Analytics 1:45 Break-‐out panels re-‐convene:
1. Michael Mahoney, Stanford University, and Dapeng Wu, University of Florida , leads
2. Wotao Yin, Rice University, lead 3. George Karypis, University of Minnesota, and Alex
Dimakis, UT Austin, leads
Panels: 1) `CS and SP’
2) ` Math, Statistics, Large-‐
scale Optimization’ 3) `CS and Systems’
2:45 Coffee break 3:00 Break-‐out panels resume after coffee break 4:00 Break-‐out panel leads report summary bullets to the
general assembly
4:30 Closing remarks