Department Chair and Professor
The Eugene and Martha Lohman Professor of Electrical Engineering
Arye Nehorai is the Eugene and Martha Lohman Professor and Chair of the Preston M. Green Department of Electrical & Systems Engineering (ESE) at Washington University in St. Louis (WUSTL). He is also Professor in the Division of Biology and Biomedical Studies (DBBS) and Director of the Center for Sensor Signal and Information Processing at WUSTL. Previously, he was a faculty member at Yale University and the University of Illinois at Chicago. He received his BSc and MSc degrees from the Technion, Israel and his PhD from Stanford University, California. Under his leadership as ESE chair, the total number of undergraduate students in ESE has nearly tripled in the last four years.
Professor Nehorai served as Editor-in-Chief of IEEE Transactions on Signal Processing from 2000 to 2002. From 2003 to 2005 he was the Vice President (Publications) of the IEEE Signal Processing Society (SPS), the Chair of the Publications Board, and a member of the Executive Committee of this Society. He was the founding editor of the special columns on Leadership Reflections in IEEE Signal Processing Magazine from 2003 to 2006.
Professor Nehorai received the 2006 IEEE SPS Technical Achievement Award and the 2010 IEEE SPS Meritorious Service Award. He was elected Distinguished Lecturer of the IEEE SPS for a term lasting from 2004 to 2005. He was a co-recipient of the IEEE SPS 1989 Senior Award for Best Paper, a co-author of the 2003 Young Author Best Paper Award, and a co-recipient of the 2004 Signal Processing Magazine Paper Award. He is co-author of five best paper awards in student competitions at international conferences. In 2001 he was named University Scholar of the University of Illinois. Professor Nehorai was the Principal Investigator of the Multidisciplinary University Research Initiative (MURI) project titled Adaptive Waveform Diversity for Full Spectral Dominance from 2005 to 2010. He has been a Fellow of the IEEE since 1994, Fellow of the Royal Statistical Society since 1996, and Fellow of AAAS since 2012.
Statistical signal processing and imaging with applications to security, defense, biomedicine, energy and the environment. Developing physically- or biologically-based models, statistical hypothesis tests, detection and estimation algorithms, performance analyses, bounds and optimal designs. Applications include remote sensing, radar, sonar, biologically inspired sensing, genomics and biomedical imaging. The newest projects are in smart grid, including optimal pricing, demand response and monitoring power system using advanced sensors.
P. Yang, G. Tang and A. Nehorai, "A game-theoretic approach for optimal time-of-use electricity pricing," to appear in IEEE Trans. on Power Systems.
S. Gogineni and A. Nehorai, "Frequency-hopping code design for MIMO radar estimation using sparse modeling," IEEE Trans. on Signal Processing, Vol. 60, pp. 3022-3035, Jun. 2012.
A. S. Krupnick / V. K. Tidwell, J. A. Engelbach, V. V. Alli, A. Nehorai, M. You, H. G. Vikis, A. E. Gelman, D. Kreisel, J. R. Garbow, "Quantitative monitoring of murine lung tumors by magnetic resonance imaging," Nature Protocols (IF: 8.362), Vol. 7, pp. 128-142, Jan. 2012.
G. Tang and A. Nehorai, "Performance analysis for sparse support recovery," IEEE Trans. Information Theory,* Vol. 56, pp. 1383-1399, Mar. 2010.
M. Akcakaya and A. Nehorai, "Biologically inspired coupled antenna beampattern design," Bioinspiration & Biomimetics, Vol. 5, pp. 1-11, Dec. 2010.
PI of "Radar Methods in Urban Environments, the Air Force Office of Scientific Research," AFOSR, 8/2011 to 7/2016.
PI of multi-university grant "MURI: Adaptive Waveform Design for Full Spectral Dominance
," DoD through AFOSR, (funded co-PI's are with Arizona State University, Harvard University, University of Illinois at Chicago, University of Maryland, Princeton University, and Purdue University. Independently funded co-PI's are with Raytheon Missile Systems and University of Melbourne, Australia), 7/2005 to 12/2010.