Anant Sahai

Professor

Biography

Anant did his undergraduate work in EECS at UC Berkeley, and then went to MIT as a graduate student studying Electrical Engineering and Computer Science (Course 6 in MIT-speak). After graduating with his PhD, and before joining the Berkeley faculty, he was on the theoretical/algorithmic side of a team at the startup Enuvis, Inc. developing new adaptive software radio techniques for GPS in very low SNR environments (such as those encountered indoors in urban areas).

He currently serves also as faculty adviser to UC Berkeley's chapter of Eta Kappa Nu. He has previously served as the Treasurer for the IEEE Information Theory Society.

His research interests span information theory, decentralized control, machine learning, and wireless communication --- with a particular interest at the intersections of these fields. Within wireless communication, he is particularly interested in Spectrum Sharing and Cognitive Radio as well as very-low-latency ultra-reliable wireless communication protocols for the Internet Of Things. Recently, he is very interested in machine learning for cooperation, control, and wireless communication.

Education

  • 2001, PhD, EECS, Massachusetts Institute of Technology
  • 1996, SM, EECS, Massachusetts Institute of Technology
  • 1994, BS, EECS, University of California, Berkeley

Selected Publications

Awards, Memberships and Fellowships