Personal profile
Personal profile
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.
Research interests
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.
Education/Academic qualification
Electrical and Computer Engineering, PhD, University of Illinois at Urbana-Champaign
Electrical and Computer Engineering, MSc, University of Wisconsin-Madison
External positions
Victor E. Cameron Professor of Electrical and Computer Engineering and Computer Science, Rice University
Jan 1 2000 → …
Free-text keywords
- Signal and imaging processing
- Compressive sensing
- Sensor networks
- Pattern recognition
- Learning
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Collaborations and top research areas from the last five years
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Atomic Learning Objectives and LLMs Labeling: A High-Resolution Approach for Physics Education
Liu, N., Sonkar, S., Basu Mallick, D., Baraniuk, R. & Chen, Z., Mar 3 2025, 15th International Conference on Learning Analytics and Knowledge, LAK 2025. Association for Computing Machinery, p. 620-630 11 p. (15th International Conference on Learning Analytics and Knowledge, LAK 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access1 Link opens in a new tab Scopus citations -
Do LLMs Make Mistakes Like Students? Exploring Natural Alignments Between Language Models and Human Error Patterns
Liu, N., Sonkar, S. & Baraniuk, R., 2025, Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings. Cristea, A. I., Walker, E., Lu, Y., Santos, O. C. & Isotani, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 364-377 14 p. (Lecture Notes in Computer Science; vol. 15880 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Estimating the Number and Locations of Boundaries in Reverberant Environments with Deep Learning
Arikan, T., Chackalackal, L. M., Ahsan, F., Tittel, K., Singer, A. C., Wornell, G. W. & Baraniuk, R. G., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025 - Proceedings. Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). Institute of Electrical and Electronics Engineers Inc., (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Many-Shot Regurgitation Prompting
Sonkar, S., Liu, N. & Baraniuk, R., 2025, Artificial Intelligence in Education - 26th International Conference, AIED 2025, Proceedings. Cristea, A. I., Walker, E., Lu, Y., Santos, O. C. & Isotani, S. (eds.). Springer Science and Business Media Deutschland GmbH, p. 203-211 9 p. (Lecture Notes in Computer Science; vol. 15881 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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On the Geometry of Deep Learning
Balestriero, R., Humayun, A. I. & Baraniuk, R. G., Apr 2025, In: Notices of the American Mathematical Society. 72, 4, p. 374-385 12 p.Research output: Contribution to journal › Comment/debate › peer-review
3 Link opens in a new tab Scopus citations