Behnaam Aazhang
J.S. Abercrombie Professor,                         Electrical and Computer Engineering                   Rice University

aaz at rice dot edu

B.S. University of Illinois at Urbana-Champaign (1981)
M.S.  University of Illinois at Urbana-Champaign (1983)
Ph.D. University of Illinois at Urbana-Champaign                                                              (1986)

Behnaam Aazhang received his B.S. (with highest honors), M.S., and Ph.D. degrees in Electrical and Computer Engineering from University of Illinois at Urbana-Champaign in 1981, 1983, and 1986, respectively. From 1981 to 1985, he was a Research Assistant in the Coordinated Science Laboratory, University of Illinois. In August 1985, he joined the faculty of Rice University, Houston, Texas, where he is now the J.S. Abercrombie Professor in the Department of Electrical and Computer Engineering Professor and Director of Center on Neuro-Engineering, a multi-university research center in Houston, Texas. From 2006 till 2014, he held an Academy of Finland Distinguished Visiting Professorship appointment (FiDiPro) at the University of Oulu, Oulu, Finland. Dr. Aazhang is a Fellow of IEEE and AAAS, a distinguished lecturer of IEEE Communication Society. He received an Honorary Doctorate degree from the University of Oulu, Finland (the highest honor that the university can bestow) in 2017 and IEEE ComSoc CTTC Outstanding Service Award “For innovative leadership that elevated the success of the Communication Theory Workshop” in 2016. He is a recipient of 2004 IEEE Communication Society’s Stephen O. Rice best paper award for a paper with A. Sendonaris and E. Erkip. In addition, Sendonaris, Erkip, and Aazhang received IEEE Communication Society’s 2013 Advances in Communication Award for the same paper. He has been listed in the Thomson-ISI Highly Cited Researchers and has been keynote and plenary speaker of several conferences.

His research interests are signal processing, information theory, and their applications to neuroengineering and wireless communication and networks. Particular focus is on modeling neuronal circuits connectivity and the impact of learning on connectivity, on real-time closed-loop stabilization of neuronal systems to mitigate disorders such as epilepsy, Parkinson, depression, and obesity, on developing an understanding of cortical representation and fine-grained connectivity in the human language system, and on building microelectronics with large data analysis techniques to develop a fine-grained recording and modulation system to remediate language disorders.