richbRichard G. Baraniuk
Victor E. Cameron Professor of Electrical and Computer Engineering, Rice University
Professor Richard G. Baraniuk grew up in Winnipeg, Canada, the coldest city in the world with a population over 600,000. He studied Electrical Engineering at the University of Manitoba, the University of Wisconsin-Madison, and the University of Illinois at Urbana-Champaign. Dr. Baraniuk joined Rice University in Houston, Texas, in 1993 and is now the Victor E. Cameron Professor of Electrical and Computer Engineering. He is a member of the Digital Signal Processing (DSP) group and Director of the Rice center for Digital Learning and Scholarship (RDLS). Dr. Baraniuk’s research interests lie in the areas of signal, image, and information processing and include machine learning and compressive sensing. He is Director of Connexions, a non-profit publishing project to bring learning materials to the Internet Age which is used by over 2 million people from nearly 200 countries.
Ashu Sabharwal
Professor, Electrical and Computer Engineering, Rice University
Professor Sabharwal is chair of the ECE Corporate Affiliates program and past director of the Center for Multimedia Communication (CMC). He has been faculty fellow and postdoctoral research associate at Rice University. Throughout the his years at Rice, he has been involved in several large research projects focused on wireless networking and supported by funding from NSF, Nokia, Texas Instruments and Intel Corporation. Dr. Sabharwal received his B.Tech in 1993 from IIT – New Delhi, and his M.S. and Ph.D. degrees in Electrical Engineering from The Ohio State University in 1995 and 1999, respectively.
bannerMarina Vannucci
Noah Harding Professor and Chair, Statistics, Rice University
Dr. Vannucci received a Laurea (B.S.) in Mathematics in 1992 and a Ph.D. in Statistics in 1996, both from the University of Florence, Italy. Prior to joining Rice in 2007, she was Research Fellow at the University of Kent at Canterbury, UK, during 1996-1998. In 1998 she joined the Department of Statistics at Texas A&M University, TX, as Assistant Professor, became Associate Professor in 2003 and Full Professor in 2005. Dr. Vannucci is currently an adjunct faculty member of the UT M.D. Anderson Cancer Center, TX, and the Rice Director of the Interinstitutional Graduate Program in Biostatistics. She also holds an Honorary appointment at the University of Liverpool, UK. Dr. Vannucci was the recipient of an NSF CAREER award in 2001 and won the Mitchell prize from the International Society for Bayesian Analysis in 2003. She is an elected Member of the International Statistical Institute (ISI), since 2007, and an elected Fellow of the American Statistical Association (ASA), since 2006, the Institute of Mathematical Statistics (IMS), since 2009, the American Association for the Advancement of Science (AAAS), since 2012, and the International Society for Bayesian Analysis (ISBA), since 2014. Dr. Vannucci served as Editor-in-Chief for the journal Bayesian Analysis in 2013-2015. She has published over 110 research papers and has delivered more than 150 invited presentations. She has supervised 17 Ph.D. students and 8 postdoctoral fellows, since 1998.
0825_jermaine-1-webChris Jermaine
Associate Professor, Computer Science, Rice University
Professor Chris Jermaine received a BA from the Mathematics Department at UCSD, an MSc from the Computer Science and Engineering Department at OSU (his advisor at OSU was Renee Miller, who is now at Toronto), and a PhD from the College of Computing at Georgia Tech hisy advisor at Georgia Tech was Ed Omiecinski). Dr. Jermaine is the recipient of a 2008 Alfred P. Sloan Foundation Research Fellowship, a National Science Foundation CAREER award, and a 2007 ACM SIGMOD Best Paper Award. He has been at Rice since January, 2009, and was on the faculty of the computer science department at the University of Florida from 2002, through August, 2010.
Genevera Allen
Assistant Professor of Statistics, Rice University
Allen’s research interests are in developing statistical tools to help scientists understand massive amounts of so-called “Big-Data”. Technological advances in medicine, engineering, the Internet, and finance have produced larger and more complex data sets. By using techniques from high-dimensional inference, machine learning, and convex optimization, she solves statistical problems arising from these new technologies. In particular, her methodological and theoretical work lies in the areas of modern multivariate analysis, graphical models, statistical machine learning, and the emerging area of data integration. Her applied research interests include neuroimaging, neural recordings, and high-throughput genomics.She received her PhD in statistics from Stanford University in June 2010 under the direction of Rob Tibshirani. My Bachelors degree is from Rice University in statistics.
Swarat Chaudhuri
Associate Professor of Computer Science, Rice University
Chaudhuri is an expert on methods for automated reasoning about systems, in particular, abstract interpretation and model checking, and the application of such methods in computer-aided programming. He received his doctoral degree in computer science from the University of Pennsylvania in 2007. From 2008-2011, he was an assistant professor at the Pennsylvania State University, University Park. He is a recipient of the National Science Foundation CAREER award and the ACM SIGPLAN Outstanding Doctoral Dissertation Award.
Caleb Kemere
Assistant Professor of Electrical and Computer Engineering, Rice University
Caleb Kemere received his Ph.D. degree in Electrical Engineering from Stanford University. He was a postdoctoral fellow at the Keck Center for Integrative Neurosciences at UCSF before joining the Rice faculty in 2011. Kemere is a winner of a 2013 NSF CAREER Award and recently received a five-year grant from the National Science Foundation. His research interests are building interfaces with memory and cognitive processes; model-based signal processing;low-power embedded systems.
Anastasios Kyrillidis
Joining in 2018
Kyrillidis’ research interests are optimization for machine learning, convex and non-convex analysis and optimization, structured low dimensional models, data analytics, compressed sensing.
Ankit B. Patelankit_web_1-e1427763431663
Assistant Professor of Neuroscience, Baylor College of Medicine
Assistant Professor of Electrical and Computer Engineering, Rice University
Patel is a faculty member at the Baylor College of Medicine in the Dept. of Neuroscience, with a courtesy appointment in the ECE Dept. at Rice University. Previously, he was a Research Scientist at Rice University, focusing on deep machine learning and computational neuroscience. Patel graduated from Harvard with a Ph.D. in Applied Mathematics, advised by Radhika Nagpal. His undergraduate degree was in Computer Science and Applied Mathematics (BA, MS, Harvard 2002). Patel spent 6 years in industry working on real-time inference systems, including 2 years at MIT Lincoln Laboratory (2002-2004) and 4 years as a Quantitative Trader at Global Electronic Trading Corporation (2008-12) — a high-frequency market-making firm that is now a part of KCG Holdings. His current work tries to shed new light on the successes (and shortcomings) of techniques in modern Deep Learning.
Xaq Pitkow
Assistant Professor of Neuroscience, Baylor College of Medicine
Assistant Professor of Electrical and Computer Engineering, Rice University
Xaq’s primary focus is on developing theories of the computational functions of neural networks, especially how they compute properties of the world using ambiguous sensory evidence. He was trained in physics as an undergraduate student at Princeton, and went on to study biophysics at Harvard. There he joined the neuroscience lab of Markus Meister, conducting experiments on retinal processing, and developing theory of cortical circuits in collaboration with Haim Sompolinsky. After his Ph.D. he took a postdoctoral position in the Center for Theoretical Neuroscience at Columbia to work with Ken Miller, and then moved to the University of Rochester to work as a postdoc with Alex Pouget in the department of Brain and Cognitive Sciences. In 2013 he moved to Houston to become a faculty member jointly at the Baylor College of Medicine and Rice University, in the departments of Neuroscience and Electrical and Computer Engineering.
Anshumali Shrivastava
Assistant Professor of Computer Science, Rice University
Anshumali Shrivastava is an Assistant Professor in the Department of Computer Science at Rice University with joint appointments in Statistics and ECE department.  His broad research interests include large scale machine learning, randomized algorithms for big data systems and graph mining.  His research on hashing inner products won Best Paper Award at NIPS 2014 while his work on representing graphs got the Best Paper Award at IEEE/ACM ASONAM 2014. He obtained his Ph. D.  in computer science from Cornell University. Before joining  Cornell, he worked as a scientist at FICO research Bangalore, India. Anshumali’s undergraduate major was mathematics and computing from Indian Institute of Technology (IIT) Kharagpur.
Ashok Veeraraghavan
Assistant Professor of Electrical and Computer Engineering, Rice University
Dr. Veeraraghavan is an Assistant Professor of Electrical and Computer Engineering Department at Rice University. He received B.Tech. in electrical engineering from Indian Institute of Technology, Madras in 2002, and master’s and Ph.D. from the Department of Electrical and Computer Engineering at the University of Maryland, in College Park in 2004 and 2008, respectively. Ashok joined the ECE Department in 2010. His research interests are in computational imaging, compressive sensing for imaging, signal processing and computer vision.