Professor, UC Berkeley
Before joining the faculty at Berkeley in 2002, Anant Sahai spent 2001 at the startup Enuvis, Inc. where he was on the theoretical/algorithmic side of a team that developed new techniques for GPS detection in very low SNR environments (such as those encountered indoors in urban areas). From 1994 to 2000, Sahai was a graduate student at MIT studying Electrical Engineering and Computer Science, and was based in the Laboratory for Information and Decision Systems under Sanjoy Mitter. While there Sahai's research interests started in machine understanding, but shifted toward the intersection of control and information theory. He did his undergraduate work in EECS at the University of California, Berkeley from 1990 to 1994.
Learning and Games , Spring 2022Visiting Scientist
Foundations of Deep Learning , Summer 2019Visiting Scientist
Information Theory , Spring 2015Visiting Scientist