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Richard Baraniuk, PhD

Full Affiliate Member, Research Institute
Houston Methodist


Biography

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.

Description of Research

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.

Areas Of Expertise

Signal and imaging processing Compressive sensing Sensor networks Pattern recognition Learning
Education & Training

, University of Illinois at Urbana-Champaign
, University of Wisconsin-Madison
Publications

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
Metzler, CA, Maleki, A & Baraniuk, RG 2016, . in 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016., 7574718, Institute of Electrical and Electronics Engineers Inc. 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016, Seattle, United States, 11-15 July. DOI:

From Denoising to Compressed Sensing
Metzler, CA, Maleki, A & Baraniuk, RG 2016, IEEE Transactions on Information Theory, vol 62, no. 9, 7457256, pp. 5117-5144. DOI:

Signal Processing for Computational Photography and Displays [From the Guest Editors]
Agrawal, A, Baraniuk, R, Favaro, P & Veeraraghavan, A 2016, IEEE Signal Processing Magazine, vol 33, no. 5, 7560001, pp. 12-15. DOI:

Lensless Imaging: A computational renaissance
Boominathan, V, Adams, JK, Asif, MS, Avants, BW, Robinson, JT, Baraniuk, RG, Sankaranarayanan, AC & Veeraraghavan, A 2016, IEEE Signal Processing Magazine, vol 33, no. 5, 7559956, pp. 23-35. DOI:

MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses
Baran, TA, Baraniuk, RG, Oppenheim, AV, Prandoni, P & Vetterli, M 2016, IEEE Signal Processing Magazine, vol 33, no. 4, 7503171, pp. 62-83. DOI:

An information-theoretic measure of dependency among variables in large datasets
Mousavi, A & Baraniuk, RG 2016, . in 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015., 7447066, Institute of Electrical and Electronics Engineers Inc. pp. 650-657, 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Monticello, United States, 29-2 October. DOI:

A deep learning approach to structured signal recovery
Mousavi, A, Patel, AB & Baraniuk, RG 2016, . in 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015., 7447163, Institute of Electrical and Electronics Engineers Inc. pp. 1336-1343, 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Monticello, United States, 29-2 October. DOI:

Estimating a common period for a set of irregularly sampled functions with applications to periodic variable star data
Long, JP, Chi, EC & Baraniuk, RG 2016, Annals of Applied Statistics, vol 10, no. 1, pp. 165-197. DOI:

Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography
Wood, S, Fontenl, E, Metzler, C, Chiu, W & Baraniuk, RG 2016, . in Conference Record - Asilomar Conference on Signals, Systems and Computers. vol. 2016-February, 7421236, IEEE Computer Society, pp. 760-764, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 8-11 November. DOI:

FlatCam: Replacing Lenses with Masks and Computation
Asif, MS, Ayremlou, A, Veeraraghavan, A, Baraniuk, R & Sankaranarayanan, A 2016, . in Proceedings of the IEEE International Conference on Computer Vision. vol. 2016-February, 7406438, Institute of Electrical and Electronics Engineers Inc. pp. 663-666, 15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015, Santiago, Chile, 11-18 December. DOI:

k-POD: A Method for k-Means Clustering of Missing Data
Chi, JT, Chi, EC & Baraniuk, RG 2016, American Statistician, vol 70, no. 1, pp. 91-99. DOI:

Convex biclustering
Chi, EC, Allen, GI & Baraniuk, RG 2016, Biometrics. DOI:

Deterministic column sampling for low-rank matrix approximation: Nyström vs. Incomplete Cholesky decomposition
Patel, R, Goldstein, T, Dyer, E, Mirhoseini, A & Baraniuk, R 2016, . in 16th SIAM International Conference on Data Mining 2016, SDM 2016. Society for Industrial and Applied Mathematics Publications, pp. 594-602, 16th SIAM International Conference on Data Mining 2016, SDM 2016, Miami, United States, 5-7 May.

Dealbreaker: A nonlinear latent variable model for educational data
Lan, A, Goldstein, T, Baraniuk, R & Studer, C 2016, . in 33rd International Conference on Machine Learning, ICML 2016. vol. 1, International Machine Learning Society (IMLS), pp. 438-447, 33rd International Conference on Machine Learning, ICML 2016, New York City, United States, 19-24 June.

Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction
Wood, S, Fontenla, E, Metzler, C, Chiu, W & Baraniuk, RG 2015, . in 2015 IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015., 7369557, Institute of Electrical and Electronics Engineers Inc. pp. 226-231, IEEE Signal Processing and Signal Processing Education Workshop, SP/SPE 2015, Salt Lake City, United States, 9-12 August. DOI:

BM3D-AMP: A new image recovery algorithm based on BM3D denoising
Metzler, CA, Maleki, A & Baraniuk, RG 2015, . in Proceedings - International Conference on Image Processing, ICIP. vol. 2015-December, 7351377, IEEE Computer Society, pp. 3116-3120, IEEE International Conference on Image Processing, ICIP 2015, Quebec City, Canada, 27-30 September. DOI:

Advanced time-frequency signal and system analysis
Boashash, B, Touati, S, Flandrin, P, Hlawatsch, F, Tauböck, G, Oliveira, PM, Barroso, V, Baraniuk, R, Jones, G, Matz, G, Hlawatsch, F, Alieva, T, Bastiaans, MJ, Galleani, L, Boudraa, AO, Salzenstein, F & Akan, A 2015, . in Time-Frequency Signal Analysis and Processing: A Comprehensive Reference. Elsevier, pp. 141-236. DOI:

Advanced design and specifications of TFDs
Flandrin, P, Williams, WJ, Baraniuk, RG, Jones, DL, Putland, GR, Papandreou-Suppappola, A, Boashash, B, Xia, XG, Jawad, BK, Khan, NA, Khan, NA, Sejdic, E, Assous, S & Ventosa, S 2015, . in Time-Frequency Signal Analysis and Processing: A Comprehensive Reference. Elsevier, pp. 237-327. DOI:

The STOne Transform: Multi-Resolution Image Enhancement and Compressive Video
Goldstein, T, Xu, L, Kelly, KF & Baraniuk, R 2015, IEEE Transactions on Image Processing, vol 24, no. 12, 7229297, pp. 5581-5593. DOI:

NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings
Hegde, C, Sankaranarayanan, AC, Yin, W & Baraniuk, RG 2015, IEEE Transactions on Signal Processing, vol 63, no. 22, 7145475, pp. 6109-6121. DOI: