AMCSa) Ali Jadbabaie Optimization of networked dynamical systems in physics, engineering, and biology and optimation and optimal control of nonlinear and hybrid systems
b) Dan Koditschek Biologically inspired robotics, designed for robust operation in complex, natural, outdoor terrains.
d) Alexander Rakhlin Optimization in learning and information theorey, stochastic convex optimization.
e) Kent Smetters Risk management, optimal portfolio choice.
f) Rakesh Vohra Mechanism design, allocation of scarce resources, game, auction and pricing theory.