Welcome to the Digital Signal Processing (DSP) group at Rice University. The DSP group has been actively teaching courses, conducting research, and publishing results since 1968.

DSP Bids Goodbye and Wishes All The Best!!

Laura Balzano is a PhD student in Electrical and Computer Engineering, working with Professor Robert Nowak at the University of Wisconsin, Madison.
Laura received her BS and MS in Electrical Engineering from Rice University and the University of California in Los Angeles respectively. She received the Outstanding MS Degree of the year award from UCLA. She has worked as a software engineer at Applied Signal Technology, Inc. Her PhD is being supported by a 3M fellowship. Her main research focus is on statistical signal processing, estimation, and modeling with highly incomplete or corrupted data, and its applications in network monitoring, sensor networks, and collaborative filtering.

Mark Davenport to start as Assistant Professor at Georgia Tech in Fall 2012

Mark Davenport to start Assistant Professor position in EC Department at Georgia Tech in Fall 2012.
Mark joins Rice DSP alums Justin Romberg and Christ Rozell.

http://www-stat.stanford.edu/~markad/

DSP Alum Marco Duarte Accepts Assistant Professor Position at UMass-Amherst

Esteemed and award-winning Rice DSP alum Marco Duarte has accepted an Assistant Professor position at the University of Massachusetts, Amherst. A prestigious NSF IPAM Postdoctoral Fellowship at Princeton and Duke Universities enabled him to work with Prof. Robert Calderbank.

Duarte received his B.Sc. with distinction and his M.Sc. from the University of Wisconsin–Madison; he received his Ph.D. from Rice with Prof. Richard Baraniuk as advisor. He has published and presented widely, and is the co-inventor on several patents. Duarte’s areas of interest include signal, image, and data processing using sparse, compressible, and manifold signal models.

DSP Alum Rui M. Castro Accepts Assistant Professorship of Statistics at University of Technology, Eindhoven

DSP alum Rui M. Castro, formerly of Columbia University, began an assistant professorship of statistics at University of Technology, Eindhoven, August 2010.

Rui's research interests are on the borderline of signal processing, learning theory and statistics. One major research focus is on active learning techniques, also known as sequential experimental design.



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