Dr. Anant Sahai

Biography

Anant Sahai is currently Qualcomm Chair Professor in Electrical Engineering and Computer Sciences at the University of California, Berkeley. He completed his undergraduate and graduate studies in Electrical Engineering and Computer Sciences at the Massachusetts Institute of Technology, where he earned his PhD. His research focuses on the theoretical and algorithmic aspects of adaptive software radio techniques, particularly in low Signal-to-Noise Ratio (SNR) environments such as those encountered indoors and in urban areas. Sahai has been involved in numerous research initiatives, serving as faculty adviser to UC Berkeley's chapter of Eta Kappa Nu and as Treasurer of the IEEE Information Theory Society. His research interests span various domains including machine learning, wireless communication, information theory, signal processing, and decentralized control, with a particular emphasis on the intersections of these fields. Sahai is actively engaged in advancing understanding and practice within scalable artificial intelligence and has published extensively in high-impact conferences and journals. He is currently teaching courses related to scalable AI that bridge theoretical and practical perspectives.

Research Interests