Welcome	Bio		Research	Links
Resume: .pdf		Salman Asif () Graduate Student School of Electrical and Computer Engineering Georgia Institute of Technology Office: 5254-W Centergy One building, 5^th Street, Atlanta, GA 30332 Email: sasif at gatech dot edu
About Me: I am Salman – for most part of my life (so far) I lived in Lahore, Pakistan. I grew up there, studied there. What else … I received my B.Sc. degree in Electrical Engineering from UET Lahore in December 2004. Since fall 2006 I am in Georgia Tech for the graduate studies (PhD). I am working in CSIP with Prof. Justin Romberg. back to top
Research: I am working in the area of Compressive Sensing (CS). Our main interest is to understand sparse signal models and experiment with different reconstruction techniques for the fast and efficient recovery of signals from compressed measurements. Publications: M. Salman Asif, Felix Fernandes, and Justin Romberg, Low-complexity video compression and compressive sensing, submitted [paper, poster, code] M. Salman Asif, Adam Charles, Justin Romberg, and Chris Rozell, Estimating and dynamic updating of time-varying signals with sparse variations, ICASSP, Prague, May 2011. Adam Charles, M. Salman Asif, Justin Romberg, and Chris Rozell, Sparse penalties in dynamical system estimation, variations, CISS Baltimore, March 2011. M. Salman Asif and Justin Romberg, Sparse signal recovery and dynamic update of the underdetermined system, Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA. November 2010. Petros Boufounos and M. Salman Asif, Compressive sensing for streaming signals using the streaming greedy pursuit, MILCOM, San Jose, CA, November 2010 M. Salman Asif, Dikpal Reddy, Petros Boufounos and Ashok Veeraraghavan, Streaming compressive sensing for high-speed periodic videos, ICIP, Hong Kong, September 2010 [videos] M. Salman Asif and Justin Romberg, Dynamic updating for L1 minimization, IEEE Journal of selected topics in signal processing, April 2010. [arXiv] M. Salman Asif and Justin Romberg, On the LASSO and Dantzig selector equivalence, Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2010 Petros Boufounos and M. Salman Asif, Compressive sampling for streaming signals with sparse frequency content, Conference on Information Sciences and Systems (CISS), Princeton, NJ, March 2010 M. Salman Asif and Justin Romberg, Basis pursuit with sequential measurements and time varying signals, CAMSAP (Aruba), December 2009 M. Salman Asif, William Mantzel and Justin Romberg, Random channel coding and blind deconvolution, Allerton Conference on Communication, Control, and Computing, October 2009. M. Salman Asif, William Mantzel and Justin Romberg, Channel protection: Random coding meets sparse channels, Information Theory Workshop, Taormina, Italy. October 2009. [arXiv] M. Salman Asif and Justin Romberg, Dynamic updating for sparse time varying signals, Conference on Information Sciences and Systems (CISS), Baltimore, MD. March 2009. M. Salman Asif and Justin Romberg, Dantzig selector homotopy with dynamic measurements, IS&T/SPIE Computational Imaging VII, San Jose, CA, February 2009. M. Salman Asif and Justin Romberg, Streaming measurements in compressive sensing: L1 filtering, Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA. October 2008. Presentations: Low complexity video compression @ Duke workshop, July 2011 LASSO vs. Dantzig selector @ CISS, March 2010 Basis pursuit with dynamic updates @ CAMSAP, December 2009 Channel protection @ ITW, October 2009 Dynamic updating for sparse time varying signals @ CISS, March 2009 Streaming measurements in compressive sensing @ Asilomar, October 2008 Software: · Homotopy methods o Basis pursuit, BPDN / LASSO, Dantzig selector, L1 decoding and more · Video compressive sensing Dynamic MRI Wavelet toolbox Orthogonal, biorthogonal, and complex wavelets with their adjoints J Thesis: Master’s Thesis: Primal Dual Pursuit: A homotopy based algorithm for the Dantzig selector. Presentation slides, Matlab files back to top
Links: Compressed Sensing · Rice University CS repository · Nuit Blanche blog Optimization Convex Optimization by Stephen Boyd and Lieven Vandenberghe back to top Last Modified: 01/30/12