John N. Tsitsiklis
Biography
A leader in the eff ort to optimize and control large-scale dynamic and distributed systems, John N. Tsitsiklis’ algorithmic innovations have made possible advances in diverse applications ranging from dynamic resource allocation to sensor networks and distributed computation. Dynamic programming, the central methodology behind sequential decision making and control, often suffers from the curse of dimensionality. Tsitsiklis’ work is behind some of the most powerful methods for overcoming this challenge in settings such as reinforcement learning, path planning, and the pricing of complex financial derivatives. Furthermore, his early work on consensus algorithms and distributed and asynchronous computation is impacting modern large-scale optimization methods, network management, and distributed control.
An IEEE Fellow and a member of the U.S. National Academy of Engineering, Tsitsiklis is a Clarence J. Lebel Professor of Electrical Engineering at the Massachusetts Institute of Technology, Cambridge, MA, USA.
