Richard Baraniuk

Curriculum vitae (pdf)
Google Scholar profile

Richard G. Baraniuk grew up in Winnipeg, Canada, the coldest city in the world with a population over 600,000 (more) and home of K-tel and The Guess Who.  He received the B.Sc. degree in 1987 from the University of Manitoba, the M.Sc. degree in 1988 from the University of Wisconsin-Madison, and the Ph.D. degree in 1992 from the University of Illinois at Urbana-Champaign, all in Electrical Engineering. In 1986, he was a research engineer with Omron Tateisi Electronics in Kyoto, Japan.  While at the University of Illinois, he held a joint appointment with the CERL Sound Group of the Computer-based Education Research Lab (CERL, developer of the PLATO system) and the Coordinated Science Laboratory.  After spending 1992-1993 at Ecole Normale Supérieure in Lyon, France, he joined the faculty of Rice University in Houston, Texas.  He spent a sabbatical at Ecole Nationale Supérieure de Télécommunications in Paris in 2001 and Ecole Fédérale Polytechnique de Lausanne in Switzerland in 2002.

Dr. Baraniuk is currently the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University, a member of the Digital Signal Processing (DSP) group, and Director/Founder of OpenStax.

Signal Processing and Machine Learning

Dr. Baraniuk’s research interests lie in the areas of signal processing and machine learning, especially techniques involving low-dimensional models.  Previously, he has worked in  compressive sensing, multiscale natural image modeling using wavelet-domain hidden Markov models, and time-frequency analysis. His research has been funded by NSF, DARPA, ONR, AFOSR, AFRL, ARO (including 2 MURIs), IARPA, DOE, NGA, EPA, NATO, the Texas Instruments Leadership University Program, and several companies.

He has been a Guest Editor of special issues for the IEEE Signal Processing Magazine on “Signal Processing and Networks” in 2002, “Compressive Sampling” in 2008, and “Computational Imaging” in 2016 and for the Proceedings of the IEEE on “Educational Technology” in 2008. He is currently an Associate Editor for the ACM Transactions on Sensor Networks and Applied and Computational Harmonic Analysis. He served as Co-Technical Program Chair for IEEE Statistical Signal Processing Workshop in 2007 and has served on several other conference technical program committees including IPSN, ICML, ECCV, ICCP, SPARS, ICIP, ISIT, ICASSP, and SPIE. He was a member of the DARPA Information Science and Technology (ISAT) Study Group from 2008-2011.

More information on signal processing and machine learning.

Open Education, Connexions, and OpenStax

Dr. Baraniuk is the Founder and Director of OpenStax (formerly Connexions), a non-profit educational and scholarly publishing project he founded in 1999 to bring textbooks and learning materials into the Internet Age.  OpenStax CNX 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, OpenStax CNX’s free educational materials are used by millions of learners from nearly 200 countries. Dr. Baraniuk’s education career apogee was probably opening for Peter Gabriel at TED 2006; his talk has been viewed 900,000 times.  His signal processing materials in OpenStax CNX have been used over 6 million times. Since 2002, his open education projects have been supported by the William and Flora Hewlett Foundation, the Laura and John Arnold Foundation, the Bill and Melinda Gates Foundation, the Maxfield Foundation, John and Ann Doerr, Bill and Stephanie Sick, NSF, and Rice University.  Some recent press on OpenStax is available here.

In 2012, Dr. Baraniuk launched OpenStax College, a non-profit initiative to develop high-quality free college textbooks for some of world’s most at-risk students.  As of May 2016, OpenStax textbooks have been adopted at 1-in-4 degree granting institutions in the US, saving 750,000 students over $73 million.

Currently, Dr. Baraniuk is developing advanced machine learning algorithms and a software platform for a personalized learning system called OpenStax Tutor that  integrates text, video, simulations, problems, feedback hints, and tutoring and optimizes each student’s learning experience based on their background, context, and learning goals.

More information on open education and OpenStax.

Awards and Honors

Vannevar Bush Faculty Fellow (National Security Science and Engineering Faculty Fellow)
Fellow of the National Academy of Inventors (NAI)
Person of Impact, University of Wisconsin-Madison
Thomson Reuters’ Highly Cited Researcher
Hershel M. Rich Invention Award (Rice)
IEEE James H. Mulligan, Jr. Education Medal
IEEE Signal Processing Society Best Paper Award
Thomson Reuters’ Highly Cited Researcher
(T+R)² Award for Excellence in Teaching and Research Award (Rice)
IEEE Signal Processing Society Technical Achievement Award
Thomson Reuters’ Highly Cited Researcher
Presidential Mentoring Award
SPIE Compressive Sampling Pioneer Award
WISE Education Award for Connexions (Qatar Foundation)
Padovani Lecture, IEEE Information Theory Society
IEEE Signal Processing Society Education Award
Fellow of the American Association for the Advancement of Science (AAAS)
IEEE Signal Processing Society Magazine Column Award
World Technology Award for Education
Internet Pioneer Award, Berkman Center for Internet and Society at Harvard U.
SPIE Wavelet Pioneer Award
Edutopia Magazine’s “Daring Dozen” Education Innovators
MIT Technology Review TR10 Top 10 Emerging Technology for Single-Pixel Camera
Hershel M. Rich Invention Award (Rice)
Tech Museum of Innovation Laureate for Connexions
George R. Brown Award for Superior Teaching (Rice)
Co-Author on Passive and Active Measurement Workshop Student Paper Award (with V. Ribeiro, R. Riedi, J. Navratil, and L. Cottrell)
George R. Brown Award for Superior Teaching (Rice)
Fellow of the Institute of Electrical and Electronic Engineers (IEEE)
Co-Author on IEEE Signal Processing Society Junior Paper Award
(with M. Crouse and R. Nowak)
IEEE NORSIG Best Paper Award (with E. Monsen, J. Odegard, H. Choi, J. Romberg)
George R. Brown Award for Superior Teaching (Rice)
University of Illinois ECE Young Alumni Achievement Award
Charles Duncan Junior Faculty Achievement Award (Rice)
C. Holmes MacDonald National Outstanding Teaching Award (IEEE, Eta Kappa Nu)
Rosenbaum Fellowship, Isaac Newton Institute (Cambridge University)
ONR Young Investigator Award
NSF National Young Investigator Award
National Sciences and Engineering Research Council of Canada NATO Postdoctoral
Wisconsin Alumni Research Foundation Fellowship Bacon Scholarship
Eta Kappa Nu Award for Second-Ranked Graduating Electrical Engineer
(U. Manitoba)
IEEE Award for Best Undergraduate Thesis Defense (U. Manitoba)
E. P. Fetherstonhaugh Scholarship (U. Manitoba)
Top Project at the University of Winnipeg Science Symposium
(Provincial Science Fair)

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