Professor of Electrical Engineering
Information Systems Laboratory
Stanford University
Sanjay Lall is Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. 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. His research group focuses on algorithms for control, optimization, and machine learning. From 2018 to 2019 he was Director in the Autonomous Systems Group at Apple. Before joining Stanford he was a Research Fellow at the California Institute of Technology in the Department of Control and Dynamical Systems, and prior to that he was a NATO Research Fellow at Massachusetts Institute of Technology, in the Laboratory for Information and Decision Systems. He was also a visiting scholar at Lund Institute of Technology in the Department of Automatic Control. He has significant industrial experience applying advanced algorithms to problems including satellite systems, advanced audio systems, Formula 1 racing, the America's cup, cloud services monitoring, and integrated circuit diagnostic systems, in addition to several startup companies. Professor Lall has served as Associate Editor for the journal Automatica, on the steering and program committees of several international conferences, and as a reviewer for the National Science Foundation, DARPA, and the Air Force Office of Scientific Research. He is the author of over 130 peer-refereed publications. He is currently a visiting researcher and director at Google.
IEEE Fellow, 2015
O. Hugo Schuck Best Paper Award, American Control Conference, 2013
Presidential Early Career Awards for Scientists and Engineers (PECASE), 2007
George S. Axelby Outstanding Paper Award, 2007
NSF Career award, 2007
National Academy of Engineering's Frontiers of Engineering Program, 2007
Vance D. and Arlene C. Coffman Faculty Scholar, 2007
Graduate service recognition award, Stanford University, 2005
EE266: Stochastic Control
EE364a: Convex Optimization I
Engr207c: Operator Theory and Linear Systems
Engr210a: Robust Control Analysis and Synthesis
L. Lessard and S. Lall. Convexity of Decentralized Controller Synthesis. IEEE Transactions on Automatic Control, V. 61, No. 10, pp. 3122-3127, Oct. 2016.
L. Lessard and S. Lall. Optimal Control of Two-Player Systems with Output Feedback. IEEE Transactions on Automatic Control, V. 60, No. 8, pp. 2129-2144, Aug. 2015.
L. Lessard and S. Lall. An Algebraic Approach to the Control of Decentralized Systems. IEEE Transactions on Control of Networked Systems, V. 1, No. 4, pp. 308-317, Dec. 2014.
J. Swigart and S. Lall. Optimal Controller Synthesis for Decentralized Systems over Graphs via Spectral Factorization. IEEE Transactions on Automatic Control, V. 59, No. 9, pp. 2311-2323, Sep. 2014.
T. Bretl and S. Lall. Testing Static Equilibrium for Legged Robots. IEEE Transactions on Robotics, V. 24, No. 4, pp. 794-807, Aug. 2008.
R. Cogill, S. Lall and P. A. Parrilo. Structured Semidefinite Programs for the Control of Symmetric Systems. Automatica, V. 44, No. 5, pp. 1411-1417, May. 2008.
M. Peet and S. Lall. Global Stability Analysis of a Nonlinear Model of Internet Congestion Control with Delay. IEEE Transactions on Automatic Control, V. 52, No. 3, pp. 553-559, Mar. 2007.
R. Cogill and S. Lall. An Approximation Algorithm for the Discrete Team Decision Problem. SIAM Journal on Control and Optimization, V. 45, No. 4, pp. 1359-1368, Oct. 2006.
S. Lall and M. West. Discrete Variational Hamiltonian Mechanics. Journal of Physics A, V. 39, pp. 5509-5519, May 2006.
G. Dullerud and S. Lall. A New Approach for Analysis and Synthesis of Time-Varying Systems. IEEE Transactions on Automatic Control, V. 44, No.8, pp. 1486-1497, Aug. 1999.
L. Xiao, S. Boyd and S. Lall. A Scheme for Robust Distributed Sensor Fusion Based on Average Consensus. Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), pp. 63-70, 2005.
lall@stanford.edu
235 Packard
650-723-1343