Anant Sahai did his undergraduate work in EECS at UC Berkeley from 1990-1994. From 1994-2000 he was a graduate student at MIT studying Electrical Engineering and Computer Science (Course 6 in MIT-speak) and was based in the Laboratory for Information and Decision Systems. In 2001 he was on the theoretical/algorithmic side of a team at the startup Enuvis, Inc. developing new adaptive software radio techniques for GPS detection in very low SNR environments (such as those encountered indoors in urban areas). He joined the Berkeley faculty in 2002.

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

Anant Sahai's research focus is on the communications theory side, particularly in the areas of wireless and information theory. Within information theory, my main interest is in developing the conceptual tools needed to understand feedback, interaction, delay, reliability, and complexity. To that end, he is interested in control and dynamical systems as they provide well understood mathematical models that do not mesh with the classical notions from information theory. They also tell us why delay is important. On the wireless communication side, he is interested in power consumption and how multi-scale heterogenous wireless systems can coexist peacefully. Cognitive radio is of particular interest.