I am currently the CTO of Rapid Flow Technologies, a company we formed in 2015 to commercialize the Surtrac technology we have been developing at Carnegie Mellon University. Rapid Flow builds intelligent transportation technologies for smart cities.
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 deploying in Pittsburgh since 2012. So far, we've deployed Surtrac at 50 intersections in the city.
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.