Open Ed
TED Talk and Videos
Signal Processing | Machine Learning
Rice DSP Group
Machine Learning @ Rice
Compressive Sensing Resources
Curriculum vitae (pdf)
Wikipedia page
Google Scholar profile (publications)
Richard G. Baraniuk is the Victor E. Cameron Professor of Electrical and Computer Engineering at Rice University, a member of the Digital Signal Processing (DSP) and Machine Learning research groups, and Founder/Director of OpenStax.
Dr. Baraniuk is a Fellow of the American Academy of Arts and Sciences, National Academy of Inventors, American Association for the Advancement of Science, and IEEE. He has received the DOD Vannevar Bush Faculty Fellow Award (National Security Science and Engineering Faculty Fellowship), the IEEE Signal Processing Society Technical Achievement Award, and the IEEE James H. Mulligan, Jr. Education Medal. He holds 28 US and 4 foreign patents, several of which have been licensed to Siemens to radically speed up magnetic resonance imaging (MRI) scans. Notable inventions/co-inventions include: the single-pixel camera, FlatCam, FlatScope, compressive radar imaging, distributed compressive sensing, several ultrawideband analog-to-information converters, and the SPARFA learning and content analytics framework.
Dr. Baraniuk's PhD and Postdoc alums have gone on to faculty positions at top research universities worldwide, including Cornell, Columbia, CMU, Georgia Tech (5), Michigan, Maryland, Wisconsin, Minnesota, U Mass Amherst, Iowa State, Colorado School of Mines, North Carolina State University (2), Baylor College of Medicine, McGill, ENS-Lyon, KU-Leuven, and EPFL, as well as a range of startups and industrial research labs. Academic Family Tree.
Dr. Baraniuk grew up in Winnipeg, Canada, the coldest city in the world with a population over 600,000 (more) and home of K-tel, The Guess Who, Neil Young, Beck's grandfather, and Douglas Rain, the voice of the HAL 9000 computer in 2001: A Space Odyssey, among others. 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's research interests in signal processing and machine learning lie primarily in new theory and algorithms involving low-dimensional models. His research on theory of deep learning, compressive sensing, multiscale natural image modeling using wavelet-domain hidden Markov models, and time-frequency analysis 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 was a member of the DARPA Information Science and Technology (ISAT) Study Group from 2008-2011. More information on his signal processing and machine learning research.
Open Education, Connexions, and OpenStax
Dr. Baraniuk is one of the founders of the Open Education movement. He is the 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. As of August 2018, OpenStax' eq free and open-source texts are in use by 16,000 faculty at 5100 institutions (including 48% of all US colleges and universities). Since OpenStax' founding in 2012, 6 million students have saved over $600 million. This work has been supported by a number of generous venture philanthropists, foundations, Rice University, and the National Science Foundation. Dr. Baraniuk opened for Peter Gabriel at TED 2006; his talk has been viewed over 1 million times to date. More information on open education and OpenStax.
Currently, Dr. Baraniuk is developing advanced machine learning algorithms for the personalized learning system 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.
Faculty Award for Excellence in Research, Teaching, and Scholarship (Rice)
Clarivate Analytics (previously Thomson Reuters) Highly Cited Researcher
Vannevar Bush Faculty Fellow (National Security Science and Engineering Faculty Fellow)
Fellow of the American Academy of Arts and Sciences
Hershel M. Rich Invention Award (Rice)
Fellow of the National Academy of Inventors
Thomson Reuters' Highly Cited Researcher
Person of Impact, University of Wisconsin-Madison
IEEE James H. Mulligan, Jr. Education Medal
IEEE Signal Processing Society Best Paper Award
(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 (Rice)
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
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)
Fellow of the Institute of Electrical and Electronic Engineers (IEEE)
Co-Author on IEEE Signal Processing Society Junior Paper Award
(with winners M. Crouse and R. Nowak)
IEEE NORSIG Best Paper Award (with E. Monsen, J. Odegard, H. Choi, J. Romberg)
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)