Sanjay Lall is a Professor of Electrical Engineering in the Information Systems Laboratory and Professor of Aeronautics and Astronautics at Stanford University in the Engineering faculty. He received a B.A. degree in Mathematics with first-class honors in 1990 and a Ph.D. degree in Engineering in 1995, both from the University of Cambridge, England. Prior to Stanford, he held positions as Research Fellow in the Department of Control and Dynamical Systems at the California Institute of Technology, NATO Research Fellow at the Laboratory for Information and Decision Systems at MIT, and visiting scholar at the Department of Automatic Control at Lund Institute of Technology. From 2018 to 2019, he was Director in the Autonomous Systems Group at Apple, and he currently serves as a visiting researcher at Google. Lall brings significant industrial experience, having applied advanced algorithms to satellite systems, advanced audio systems, Formula 1 racing, the America's Cup, cloud services monitoring, integrated circuit diagnostic systems, and several startup companies.

His research specializes in algorithms for control, optimization, and machine learning, with over 130 peer-reviewed publications cited more than 11,000 times. Notable publications include "Convexity of Decentralized Controller Synthesis" (IEEE Transactions on Automatic Control, 2016, with L. Lessard), "Optimal Control of Two-Player Systems with Output Feedback" (IEEE Transactions on Automatic Control, 2015, with L. Lessard), "A Characterization of Convex Problems in Decentralized Control" (IEEE Transactions on Automatic Control, 2006, with M. Rotkowitz), "Global Stability Analysis of a Nonlinear Model of Internet Congestion Control with Delay" (IEEE Transactions on Automatic Control, 2007, with M. Peet), and "A New Approach for Analysis and Synthesis of Time-Varying Systems" (IEEE Transactions on Automatic Control, 1999, with G. Dullerud). Lall has received prestigious awards including IEEE Fellow (2015), O. Hugo Schuck Best Paper Award (American Control Conference, 2013), Presidential Early Career Award for Scientists and Engineers (PECASE, 2007), George S. Axelby Outstanding Paper Award (2007), and NSF CAREER Award (2006). He has served as Associate Editor for Automatica, on conference program committees, and as a reviewer for NSF, DARPA, and AFOSR. At Stanford, he teaches advanced courses in machine learning, linear dynamical systems, stochastic control, and convex optimization.

Professional Email: lall@stanford.edu