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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

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

Compressive sensing: A new approach to seismic data acquisition
Baraniuk, RG & Steeghs, P 2017, Leading Edge, vol 36, no. 8, pp. 642-645. DOI: 10.1190/tle36080642.1

Introduction to the Issue on Signal Processing and Machine Learning
Van Der Schaar, M, Baraniuk, RG, Chiang, M, Huang, J & Zhao, S 2017, IEEE Journal on Selected Topics in Signal Processing, vol 11, no. 5, 8010524, pp. 713-715. DOI: 10.1109/JSTSP.2017.2723218

BLAh: Boolean Logic Analysis for Graded Student Response Data
Lan, A, Waters, A, Studer, C & Baraniuk, RG 2017, IEEE Journal on Selected Topics in Signal Processing. DOI: 10.1109/JSTSP.2017.2722419

Learning to invert: Signal recovery via Deep Convolutional Networks
Mousavi, A & Baraniuk, RG 2017, . in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7952561, IEEE, pp. 2272-2276, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 5-9 March. DOI: 10.1109/ICASSP.2017.7952561

Flat focus: Depth of field analysis for the FlatCam lensless imaging system
Tan, J, Boominathan, V, Veeraraghavan, A & Baraniuk, R 2017, . in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7953403, IEEE, pp. 6473-6477, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 5-9 March. DOI: 10.1109/ICASSP.2017.7953403

Contextual multi-armed bandit algorithms for personalized learning action selection
Manickam, I, Lan, AS & Baraniuk, RG 2017, . in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7953377, IEEE, pp. 6344-6348, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 5-9 March. DOI: 10.1109/ICASSP.2017.7953377

Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset
Metzler, CA, Sharma, MK, Nagesh, S, Baraniuk, RG, Cossairt, O & Veeraraghavan, A 2017, . in 2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings., 7951483, IEEE, 2017 IEEE International Conference on Computational Photography, ICCP 2017, Stanford, United States, 12-14 May. DOI: 10.1109/ICCPHOT.2017.7951483

Exponential Decay of Reconstruction Error from Binary Measurements of Sparse Signals
Baraniuk, RG, Foucart, S, Needell, D, Plan, Y & Wootters, M 2017, IEEE Transactions on Information Theory, vol 63, no. 6, 7888437, pp. 3368-3385. DOI: 10.1109/TIT.2017.2688381

RankMap: A Framework for Distributed Learning From Dense Data Sets
Mirhoseini, A, Dyer, EL, Songhori, EM, Baraniuk, R & Koushanfar, F 2017, IEEE Transactions on Neural Networks and Learning Systems. DOI: 10.1109/TNNLS.2016.2631581

Data-mining textual responses to uncover misconception patterns
Michalenko, J, Lan, AS & Baraniuk, RG 2017, . in L@S 2017 - Proceedings of the 4th (2017) ACM Conference on Learning at Scale. Association for Computing Machinery, Inc, pp. 245-248, 4th Annual ACM Conference on Learning at Scale, L@S 2017, Cambridge, United States, 20-21 April. DOI: 10.1145/3051457.3053996

Optimal ranking of test items using the Rasch model
Vats, D, Lan, AS, Studer, C & Baraniuk, RG 2017, . in 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016., 7852268, IEEE, pp. 467-473, 54th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2016, Monticello, United States, 27-30 September. DOI: 10.1109/ALLERTON.2016.7852268

Compressive video sensing: Algorithms, architectures, and applications
Baraniuk, RG, Goldstein, T, Sankaranarayanan, AC, Studer, C, Veeraraghavan, A & Wakin, MB 2017, IEEE Signal Processing Magazine, vol 34, no. 1, 7814395, pp. 52-66. DOI: 10.1109/MSP.2016.2602099

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, IEEE, 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016, Seattle, United States, 11-15 July. DOI: 10.1109/ICMEW.2016.7574718

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: 10.1109/MSP.2016.2581921

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: 10.1109/MSP.2016.2583358

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: 10.1109/TIT.2016.2556683

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
Metzler, CA, Maleki, A & Baraniuk, RG 2016, . in 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings. vol. 2016-August, 7532810, IEEE Computer Society, pp. 2504-2508, 23rd IEEE International Conference on Image Processing, ICIP 2016, Phoenix, United States, 25-28 September. DOI: 10.1109/ICIP.2016.7532810

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: 10.1109/MSP.2016.2556004

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, IEEE, pp. 1336-1343, 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Monticello, United States, 29-2 October. DOI: 10.1109/ALLERTON.2015.7447163

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, IEEE, pp. 650-657, 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015, Monticello, United States, 29-2 October. DOI: 10.1109/ALLERTON.2015.7447066