Rate My Professor Sanjay Lall

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.