My current research is on real-time adaptive traffic signal control for urban road networks. We have developed a system called SURTRAC (Scalable Urban Traffic Control), which we've been pilot testing in Pittsburgh since 2012. The original pilot site was nine intersections in the East Liberty neighborhood, and the site is scheduled to grow to 46 intersections by late 2014.
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.