My current research is on real-time adaptive traffic signal control for urban road networks. We have recently completed a pilot test of a system we've developed called SURTRAC (Scalable Urban Traffic Control) on nine intersections in the East Liberty commercial district in Pittsburgh. We are in the process of doubling the size of the pilot site, and future expansions are planned.
I received my Ph.D. in Robotics from Carnegie Mellon in 2011. My dissertation focused on improving memory for optimization and learning algorithms on problems with dynamic environments. I developed two novel classes of explicit memory to exploit information from previous solutions as a problem changes.
My general research interests are in the application of optimization, learning, and search to real-world problems, particularly problems with dynamic or uncertain environments. One of my other research interests is evolutionary robotics, the design of robot controllers using evolutionary computation.