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Research Topics

 
 

1. Smart Grid

 
 
  • Novel methods and application for power grid state estimation
  • Distributed methods for smart grid - detection, estimation, and forecasting
  • Sensor fusion, data analytics, data mining, and machine learning for smart grid
  • Security and privacy issues in smart grid - malicious data attack
  • Forecasting models and methods for renewable generation and for loads
  • Impacts of large scale renewable energy integration
 
 

2. Big Data

 
 
  • Compressive sensing, matrix completion, low-rank models and dimensionality reduction
  • Robustness to outliers and misses; performance analysis
  • Randomized schemes for very large matrix, graph, and regression problems
  • Smart power grid analytic
 
   
 
  • Principal component analysis and kernel principal component analysis
  • Support vector machine and manifold learning
  • Matrix Completion and robust principal component analysis
  • Random matrix, function of matrix and concentration of measurement
  • Quickest detection and weak signal detection
 
   
 
  • Self-designed closed-loop cognitive radar system
  • Ultra wideband testbed
  • Convex optimization based cognitive engine
  • Compressed sensing based system design
  • Detection based on Low rank matrix recovery algorithm
 
   
 
  • Big Data-Aware Networking
  • Cross-layer System Design
  • Collaborative Spectrum Sensing
  • Machine Learning for Big Network Data
  • Distributed and Parallel Computing
  • Applications of Software Defined Radio
  • Large-Scale Network Testbed (of tens of nodes)
 
   
 
  • The dual-use wireless communication and sensing system
  • A novel approach to remote sensing, inverse scattering, and radio frequency tomography
  • Semi-definite relaxation, compressive sensing, kernel PCA, and so on
  • Experiment in the newly-built chamber with automatic turning table
 
     
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External Funding Sponsors

 
   
 
Air Force Research Laboratory
Army Research Office
 
 
 
   
 
Army Research Laboratory
Office of Naval Research
 
 
National Science Foundation
Panasonic Research Laboratory
 
 
National Science Foundation
Panasonic Research Laboratory
 
 
Tektronix
 
 
Tektronix
Nissan North America
 
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Reading Paper Series


 

 
 

Time: 11:00AM-12:00PM
Date: Every Friday
Location: Brown Hall, Room 123

 
 

01 October 2010

 
 
- Author: R Jenatton, G Obozinski, F Bach
- Title: Structured Sparse Principal Component Analysis
- Presenter: Peng Zhang (ppt)
 
 

08 October 2010

 
 
- Author: CARLOS M. CARVALHO, NICHOLAS G. POLSON
- Title: The horseshoe estimator for sparse signals
- Presenter: Zhen Hu (ppt)
 
 

15 October 2010

 
 
- Author: Matthew D. Hoffman, David M. Blei Perry R. Cook
- Title: Bayesian Nonparametric Matrix Factorization for Recorded Music
- Presenter: Shujie Hou (ppt)
 
 

22 October 2010

 
 
- Author: Myung Jin Choi, Venkat Chandrasekaran, Alan S. Willsky
- Title: Exploiting Sparse Markov and Covariance Structure in Multiresolution Models
- Presenter: Zhe Chen (ppt)
 
 

29 October 2010

 
 
- Author: Julio Martin Duarte-Carvajalino, Guillermo Sapiro
- Title: Learning to Sense Sparse Signals: Simultaneous Sensing Matrix and Sparsifying Dictionary Optimization
- Presenter: Dr. Guo Nan
 
 

05 November 2010

 
 
- Author: Richard G. Baraniuk, Volkan Cevher, Marco F. Duarte, Chinmay Hegde
- Title: Model-Based Compressive Sensing
- Presenter: Jason David Bonior (ppt)
 
 

12 November 2010

 
 
- Author: Philip Schniter, Lee C. Potter, and Justin Ziniel
- Title: Fast Bayesian Matching Pursuit
- Presenter: Changchun Zhang (ppt)
 
 

19 November 2010

 
 
- Author: Matthias W. Seeger
- Title: Bayesian Inference and Optimal Design for the Sparse Linear Model
- Presenter: Raghu Ranganathan (ppt)
 
 

26 November 2010

 
 
- Author: Enrico Carpaneto, Gianfranco Chicco, Jean Sumaili Akilimali
- Title: Loss Partitioning and Loss Allocation in Three-Phase Radial Distribution Systems With Distributed Generation
- Presenter: Gang Zheng
 

Matrix Completion and Low-Rank Matrix Decomposition


 

14 January 2011

 
 
- Author: Benjamin Recht, Weiyu Xu, Babak Hassibi
- Title: Necessary and Sufficient Conditions for Success of the Nuclear Norm Heuristic for Rank Minimization
- Author: Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
- Title: Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Presenter: Zhen Hu (ppt) (ppt2)
 
 

21 January 2011

 
 
- Author: Xinghao Ding, Lihan He, Lawrence Carin
- Title: Bayesian Robust Principal Component Analysis
- Presenter: Raghu Ranganathan (ppt)
 
 

28 January 2011

 
 
- Author: E.J. Candes, B. Recht
- Title: Exact Matrix Completion via Convex Optimization
- Presenter: Shujie Hou (ppt)
 
 

4 February 2011

 
 
- Author: Emmanuel J. Cand`es and Yaniv Pla
- Title: Matrix completion with noise
- Author: E.J. Candes, T. Tao
- Title: The power of convex relaxation: Near-optimal matrix completion
- Presenter: Shujie Hou (ppt)
 
 

11 February 2011

 
 
- Author: Emmanuel J. Cand_es, Xiaodong Li, Yi Ma and John Wright
- Title: Robust Principal Component Analysis?
- Author: John Wright, Arvind Ganesh, Shankar Rao, and Yi Ma
- Title: Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization
- Presenter: R. C. Qiu (ppt)
 
 

18 February 2011

 
 
- Author: VENKAT CHANDRASEKARAN, SUJAY SANGHAVI, PABLO A. PARRILO, AND ALAN S. WILLSKY
- Title: RANK-SPARSITY INCOHERENCE FOR MATRIX DECOMPOSITION
- Presenter: Zhe Chen (ppt)
 
 

25 February 2011

 
 
- Author: Jian-Feng Cai, Emmanuel J. Cand`es, Zuowei Shen
- Title: A Singular Value Thresholding Algorithm for Matrix Completion
- Presenter: Alex Zhang (ppt)
 
 

4 March 2011

 
 
- Author: Raghunandan H. Keshavan, Andrea Montanari, and Sewoong Oh
- Title: Matrix Completion from a Few Entries
- Presenter: Raghu Ranganathan (ppt)
 
 

18 March 2011

 
 
- Author: STEPHEN BECKER, JEROME BOBIN and EMMANUEL J. CANDES
- Title: NESTA: A FAST AND ACCURATE FIRST-ORDER METHOD FOR SPARSE RECOVERY
- Presenter: Feng Lin (ppt)
 
 

25 March 2011

 
 
- Author: Stephen Boyd, Neal Parikh, Eric Chu, Borja Peleato, Jonathan Eckstein
- Title: Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
- Presenter: Zhen Hu
 
 

1 April 2011

 
 
- Author: Eleazar Eskin, Andrew Arnold, Michael Prerau, Leonid Portnoy, Sal Stolfo
- Title: A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data
- Presenter: Marbin Pazos-Revilla (ppt)
 
 

8 April 2011

 
 
- Author: Laura Balzano, Robert Nowak and Benjamin Rechty
- Title: Online Identication and Tracking of Subspaces from Highly Incomplete Information
- Author: Laura Balzano, Benjamin Recht and Robert Nowak
- Title: High-Dimensional Matched Subspace Detection When Data are Missing
- Presenter: Zhe Chen (ppt)
 
 

15 April 2011

 
 
- Author: Brian Kulis, Matyas A. Sustik and Inderjit S. Dhillon
- Title: Low-Rank Kernel Learning with Bregman Matrix Divergences
- Presenter: Peng Zhang (ppt)
 
 

29 April 2011

 
 
- Author: Sewoong Oh
- Title: MATRIX COMPLETION: FUNDAMENTAL LIMITS AND EFFICIENT ALGORITHMS
- Presenter: Zhen Hu
 
 

TBA

 
 
- Author: Sahand Negahban, Martin J. Wainwright
- Title: Estimation of (near) low-rank matrices with noise and high-dimensional scaling
- Presenter: Xia Li
 
 

TBA

 
 
- Author: Raghunandan H. Keshavan and Sewoong Oh
- Title: OptSpace : A Gradient Descent Algorithm on the Grassman Manifold for Matrix Completion
- Presenter: Feng Lin
 
 

TBA

 
 
- Author: N. Srebro
- Title: Learning with matrix factorization (PhD dissertation)
- Presenter: Feng Lin
 
 

TBA

 
 
- Author: Sahand Negahban, Martin J. Wainwright
- Title: Restricted strong convexity and weighted matrix completion: Optimal bounds with noise
- Presenter: Raghu Ranganathan
 
 

TBA

 
 
- Author: Borhan M. Sanandaji, Tyrone L. Vincent, and Michael B. Wakin
- Title: Concentration of Measure Inequalities for Compressive Toeplitz Matrices with Applications to Detection and System Identification
- Presenter: Xia Li
 
 

TBA

 
 
- Author: Joel A. Tropp
- Title: User-friendly Tail Bounds for Sums of Random Matrices
- Presenter: Xia Li
 
 

TBA

 
 
- Author: Yaniv Plan
- Title: Compressed Sensing, Sparse Approximation, and Low-rank Matrix Estimation
- Presenter: TBA
 

Smart Grid Technologies and Systems


 

29 March 2011

 
 
- Author: Yao Liu, Peng Ning, Michael K. Reiter
- Title: False Data Injection Attacks against State Estimation in Electric Power Grids
- Presenter: Raghu Ranganathan (ppt)
 

2013 Series


 

9 January 2013

 
 
- Author: Wing-Kin (Ken) Ma
- Title: Semidefinite Relaxation and Its Applications in Signal Processing Tutorial
- Presenter: Zhen Hu (pdf)
 
 

20 Feburary 2013

 
 
- Author: Benjamin Recht, Maryam Fazel, Pablo A. Parrilo
- Title: Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
- Presenter: Xia Li (ppt)
 
 

27 Feburary 2013

 
 
- Author: Zhi Quan, Wenyi Zhang, Stephen J. Shellhammer, Ali H. Sayed
- Title: Optimal Spectral Feature Detection for Spectrum Sensing at Very Low SNR
- Presenter: Feng Lin (ppt)
 
 

6 & 13 March 2013

 
 
- Author: D. Raychaudhuri, I. Seskar, M. Ott, S. Ganu, K. Ramachandran, H. Kremo, R. Siracusa, H. Liu, and M. Singh
- Title: Overview of the ORBIT Radio Grid Testbed for Evaluation of Next-Generation Wireless Network Protocols
- Author: Gerald Baier and Nico Otterbach
- Title: Wireless Networks In-the-Loop: Speeding up GNU Radio development
- Presenter: Changchun Zhang
 
 

20 March 2013

 
 
- Author: Heping Song, Tong Liu, Xiaomu Luo, and Guoli Wang
- Title: Feedback based Sparse Recovery for Motion Tracking in RF Sensor Networks
- Presenter: Jason David Bonior
 
 

17 July 2013

 
   
 

24 July 2013

 
 
- Author: Viktor Mayer-Schonberger
- Title: Big Data: A Revolution That Will Transform How We Live, Work, and Think (Chapter 1,2)
- Presenter: Changchun Zhang
 
 

31 July 2013

 
 
- Author: Viktor Mayer-Schonberger
- Title: Big Data: A Revolution That Will Transform How We Live, Work, and Think (Chapter 3,4)
- Presenter: Xia Li
 
 

7 August 2013

 
 
- Author: Viktor Mayer-Schonberger
- Title: Big Data: A Revolution That Will Transform How We Live, Work, and Think (Chapter 5,6)
- Presenter: Feng Lin
 
 

14 August 2013

 
 
- Title: The Scientific Importance of Big Data
- Presenter: Xia Li
 
 

21 August 2013

 
 
- Author: Viktor Mayer-Schonberger
- Title: Big Data: A Revolution That Will Transform How We Live, Work, and Think (Chapter 7,8)
- Presenter: Oluwaseun Joseph
 
 

25 September 2013

 
 
- Author: Rob Nowak
- Title: Closing the Loop on Big Data
- Presenter: Xia Li
 
 

2 October 2013

 
 
- Author: Christos Faloutsos
- Title: Mining Large Graphs and Tensors - Patterns, Tools and Discoveries
- Presenter: Corey Cooke
 
 

15 October 2013

 
 
- Title: CVX Tutorial
- Presenter: Xia Li
 

 

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