Namrata Vaswani

Namrata Vaswani
Associate Professor
Dept. of Electrical and Computer Engineering, Iowa State University
3121 Coover Hall, Ames IA 50011 Email: namrata AT iastate DOT edu Phone: 515-294-4012 Fax: 515-294-8432

Biography:

Associate Professor, Electrical & Computer Engineering, Iowa State University (Aug 2011 - )
Assistant Professor, Electrical & Computer Engineering, Iowa State University (Aug 2005 - July 2011)
Postdoctoral Fellow & Research Scientist, Electrical & Computer Engineering, Georgia Tech (Aug 2004 - Aug 2005)
Research Intern, Signal and Image Processing, HRL (formerly Hughes Research Labs), Malibu, CA (June 2001 - Oct 2001)
Ph.D., Electrical and Computer Engineering, University of Maryland, College Park (Aug 1999 - Aug 2004)
B.Tech., Electrical Engineering, Indian Institute of Technology (IIT), Delhi, India (Aug 1995 - May 1999)

News

December 2014: Journal paper on Time Invariant Error Bounds for Modified-CS based Sparse Signal Sequence Recovery accepted to IEEE Trans. Information Theory
December 2014: 2014 IEEE Signal Processing Society (SPS) Best Paper Award announced for our Modified-CS paper in IEEE Trans. Sig. Proc., Sept 2010
November 2014: Elected to serve as the member of the Image, Video and Multidimensional Signal Processing (IVMSP) Technical Committee of the Signal Processing Society
June 2014: ISU’s Early Career Engineering Faculty Research Award
May 2014: Two recursive robust PCA papers accepted into IEEE Trans. Information Theory and IEEE Trans. Signal Processing P
April 2014: two papers accepted to ISIT 2014, one to ICASSP 2014
December 2013: Gave a dept colloquium at UIUC
Aug 2013: Man Basnet graduated with a Ph.D. (joint with Fritz Keinert, Math)
May 2013: Chenlu Qiu graduated with a Ph.D.
September 2012: Optics Letters paper on Modified-CS for Optical Coherence Tomography accepted
January 2012: TSP paper on reg-mod-bp exact reconstruction conditions accepted, TSP paper on reg-mod-BPDN error bounds to appear soon
August 2011: 2 new NSF grants received, Allerton 2011 paper accepted
April 2011: New papers in CISS 2011, ISIT 2011 and ICIP 2011
February 2011: Invited talk at Brown University on Recursive Sparse Recovery and Applications in Dynamic Imaging
November 2010: Samarjit Das successfully defended his Ph.D. thesis
Real-time Robust PCA page created
New Student Opening for Fall 2011
Allerton 2010 papers posted

Curriculum Vitae (CV): (pdf)

Research Summary

Research My research is in signal and information processing and in high dimensional machine learning. Applications that we look at are either in video analytics and computer vision or in medical imaging (MRI). In the last 6-7 years most of my work has focused on either recursive recovery of sparse signal sequences (recursive compressive sensing) or on online robust PCA (online sparse + low-rank matrix recovery).

Recursive or Online robust PCA: Han Guo’s page (latest code and experiments, final list of papers); work started by Chenlu Qiu (older code and experiments, page is not updated)
Recursive recovery of sparse signal sequences (compressive sensing): code for Modified-CS, KF-CS and LS-CS is posted here
Video Analytics and Computer Vision – separating video into foreground and background layers and computer vision on either layer
Medical Imaging (MRI reconstruction)
Old Work

Sequential Monte Carlo (particle filtering) for large dimensional sequential state estimation
Change detection in noise-corrupted nonlinear systems
Computer Vision (shape and contour tracking)

Professional Service:

Elected member of the Image, Video and Multidimensional Signal Processing (IVMSP) Technical Committee of the Signal Processing Society, Jan 2015 – Dec 2018
Co-chaired the Information Processing for Big Data symposium at GlobalSIP, 2014
Associate Editor, IEEE Transactions on Signal Processing, 2009-2013
Organized a special session recursive reconstruction of sparse signal sequences at Asilomar 2010
Tutorials chair for IEEE Intl. Conf. Image Proc. (ICIP) 2008
Area chair (TPC member) for ICIP 2009 for interpolation
Program committee member of CVPR,2008, 2009, ECCV and ICCV, 2007
Reviewer for IEEE Trans. Signal Proc., IEEE Trans. Image Proc., IEEE Trans. PAMI and others and for various conferences (ICASSP, ICIP, CDC,...)

Graduate Students:

Alumni

Samarjit Das, Ph.D., Fall 2010, postdoc at the Robotics Institute at CMU
Wei Lu, Ph.D., Fall 2011, research scientist at BHSAI
Chenlu Qiu, Ph.D., Summer 2013
Man Basnet, Ph.D., Summer 2013
Rituparna Sarkar, M.S., Summer 2012
Fardad Raisali, M.S., Spring 2012
Taoran Li, M.S, Spring 2011

Current Ph.D. students

Jinchun Zhan (B.S. from USTC, China), Ph.D. student, started Fall 2011
Han Guo, Ph.D. student, started Fall 2012
Animesh Biswas (M.Tech. from IIT-Madras, India), Ph.D. student, started Fall 2011
Brian Lois, Ph.D. student, started Fall 2010 (B.S. in Math from Marquette Univ, WI, co-advised with Prof Leslie Hogben in Math dept)
Kevin Palmowski, Ph.D. student, started Fall 2011 (B.A. in Math from SUNY-Geneseo, NY, co-advised with Prof Leslie Hogben in Math dept)

Funding:

Research grant from Rockwell Collins and matching funds from Iowa Regents’ Innovation Fund
Co-PI on IDBR Type A – High-Throughput, Large-Scale Plant Phenotyping Platform, NSF (Division of Biological Infrastructure), March 2014- Feb 2017, Role: co-PI PI: Liang Dong (ISU)
CIF: Small: Recursive Robust Principal Components Analysis (PCA), NSF (CCF - CIF), Sept 2011 - Aug 2015. Role: PI. Co-PI: Fritz Keinert (Math dept, ISU)
RI: Small: Exploiting Correlated Sparsity Pattern Change in Dynamic Vision Problems, NSF (IIS - RI), Sept 2011 - Aug 2015. Role: PI. Co-PI: none
Recursive Reconstruction of Sparse Signal Sequences, NSF (CCF - CIF), July 2009 - June 2012. Role: PI. Co-PI: none
Change Detection in Nonlinear Systems and Applications in Shape Analysis, NSF ECCS/PCAN, August 2007 - July 2010. Role: PI. Co-PI: none
Iowa State Univ. VPR Office, Faculty Grant Development Award, Summer 2006

Teaching:

Office hours for Spring 2014: Wednesdays and Thursdays 10-11am

Spring 2014: EE 527 (Estimation and Detection Theory) and EE 224 recitations
Fall 2013: EE 224 recitations
Spring 2013: EE 520 (Special Topics in CSP): Matrix Completion and Sparse Recovery
Fall 2012: EE 322 (Probabilistic Methods for Electrical Engineers)
Spring 2012: EE 424 (Introduction to DSP)
Spring 2012: EE 527 (Estimation and Detection Theory)
Fall 2011: EE 224 recitations and labs
Spring 2011: EE 322 (Probabilistic Methods for Electrical Engineers)
Fall 2010: EE 524 (Digital Signal Processing)
Spring 2010: EE 527 (Detection and Estimation Theory)
Spring 2010: EE 224 recitations
Fall 2009: EE 528 (Digital Image Processing)
Spring 2009: EE 520 (Special Topics in CSP: Compressive Sensing)
Spring 2009: EE 322 (Probabilistic Methods for Electrical Engineers)
Fall 2008: EE 322 (Probabilistic Methods for Electrical Engineers)
Spring 2008: EE 527 (Detection and Estimation Theory)
Fall 2007: EE 322 (Probabilistic Methods for Electrical Engineers)
Spring 2007: EE 528 (Digital Image Processing)
Fall 2006: EE 322 (Probabilistic Methods for Electrical Engineers)
Fall 2006: EE 597 (CSP Seminar)
Spring 2006: EE 224 (Signals and Systems) Lab, Sections B & F
Fall 2005: EE 520: Special Topics in Signal Processing for Image Analysis and Computer Vision

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