Richard G. Baraniuk, Ph.D.
Senior Affiliate Member
Postdoctoral Fellow, Ecole Normale Supérieure de Lyon, France
Dr. Baraniuk grew up in Winnipeg, Canada and received his B.Sc. degree in 1987 from the University of Manitoba. During his undergraduate studies he was a research engineer with Omron Tateisi Electronics in Kyoto, Japan (1986) and a Research Assistant with the National Research Council of Canada (1987). He received his M.Sc. degree in 1988 from the University of Wisconsin-Madison, and a Ph.D. degree in 1992 from the University of Illinois at Urbana-Champaign. While at the University of Illinois, he held a joint appointment with the CERL Sound Group and the Coordinated Science Laboratory.
After spending 1992-1993 at Ecole Normale Supérieure in Lyon, France, he joined Rice University in Houston, Texas, where he is currently the Victor E. Cameron Professor of Engineering and a sporadic DJ for KTRU. He spent sabbaticals at Ecole Nationale Supérieure de Télécommunications in Paris in 2001 and Ecole Fédérale Polytechnique de Lausanne in Switzerland in 2002. Dr. holds eight U.S. patents and has published more than 120 manuscripts. He Joined TMHRI in 2010.
Dr. Baraniuk received a NATO postdoctoral fellowship from NSERC in 1992, the National Young Investigator award from the National Science Foundation in 1994, a Young Investigator Award from the Office of Naval Research in 1995, the Rosenbaum Fellowship from the Isaac Newton Institute of Cambridge University in 1998, the C. Holmes MacDonald National Outstanding Teaching Award from Eta Kappa Nu in 1999, the Charles Duncan Junior Faculty Achievement Award from Rice in 2000, the University of Illinois ECE Young Alumni Achievement Award in 2000, the George R. Brown Award for Superior Teaching at Rice in 2001, 2003, and 2006, the Hershel M. Rich Invention Award from Rice in 2007, the Wavelet Pioneer Award from SPIE in 2008, the Internet Pioneer Award from the Berkman Center for Internet and Society at Harvard Law School in 2008, and the World Technology Award for Education in 2009.
He was selected as one of Edutopia Magazine's Daring Dozen educators in 2007. Connexions received the Tech Museum Laureate Award from the Tech Museum of Innovation in 2006. His work with Kevin Kelly on the Rice single-pixel compressive camera was selected by MIT Technology Review Magazine as a TR10 Top 10 Emerging Technology in 2007. He was co-author on a paper with Matthew Crouse and Robert Nowak that won the IEEE Signal Processing Society Junior Paper Award in 2001 and another with Vinay Ribeiro and Rolf Riedi that won the Passive and Active Measurement (PAM) Workshop Best Student Paper Award in 2003. He received the IEEE Signal Processing Society Magazine Column Award in 2009. He was elected Fellow of the IEEE in 2001 and Fellow of the AAAS in 2009.
Dr. Baraniuk's research interests lie in the areas of signal and image processing and include compressive sensing (compressed sensing), sensor networks, and pattern recognition and learning. In a bygone era he has worked in multiscale natural image modeling using hidden Markov models and time-frequency analysis.
In 1999, Dr. Baraniuk launched Connexions, a non-profit publishing project that aims to bring textbooks and learning materials into the Internet Age. Connexions makes high-quality educational content available to anyone, anywhere, anytime for free on the web and at very low cost in print by inviting authors, educators, and learners worldwide to "create, rip, mix, and burn" textbooks, courses, and learning materials from its global open-access repository. Each month, Connexions' free educational materials are used by over 2 million people from nearly 200 countries.
Signal and imaging processing, compressive sensing, sensor networks, pattern recognition and learning
Cevher V, Indyk P, Carin L, Baraniuk RG. Sparse Signal Recovery and Acquisition with Graphical Models. IEEE Signal Processing Magazine. 2010. 97(6):92-103
Davenport MA, Boufounos PT, Wakin MB, Baraniuk RG. Signal Processing with Compressive Measurements. IEEE Journal of Selected Applications in Signal Processing. 2010. 4(2):445-460
Baraniuk RG, Candes E, Elad M, Ma Y. Applications of Sparse Representation and Compressive Sensing, 2010. 98(6):906-909
Davenport MA, Hegde C, Duarte MF, Baraniuk RG. Joint Manifolds for Data Fusion. IEEE Transactions on Image Processing. 2010. 19(10):2580-2594
Davenport MA, Baraniuk RG, Scott C. Tuning Support Vector Machines for Minimax and Neyman-Pearson Classification. IEEE Trans Pattern Anal Mach Intell. 2010 Oct;32(10):1888-98
Davenport MA, Hegde C, Duarte M, Baraniuk RG. Joint Manifolds for Data Fusion. IEEE Trans Image Process. 2010 Oct;19(10):2580-94
Cevher V, Wakin MB, Baraniuk RG. Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective. Proceedings of the IEEE. 2010. 98(6):959-971
Baraniuk RG, Cevher V, Duarte M, Hegde C. Model-based Compressive Sensing. IEEE Transactions on Information Theory. 2010. 56(4):1982-2001.
Baron D, Sarvotham S, Baraniuk RG. Bayesian Compressive Sensing via Belief Propagation. IEEE Trans Sig Proc. 2010. 58(1):269-280.
Tropp JA, Laska JN, Duarte MF, Romberg JK, Baraniuk RG. Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals. IEEE Transactions on Information Theory. 2010. 56(10):520-544.
Dai W, Sheikh MA, Milenkovic O, Baraniuk RG. Compressive Sensing DNA Microarrays. EURASIP J Bioinform Syst Biol. 2009:162824.
Chandrasekaran V, Wakin MB, Baron D, Baraniuk RG. Representation and Compression of Multi-Dimensional Piecewise Functions Using Surflets. IEEE Transactions on Information Theory. 2009. 55(1):374-400.