Dr. Collin Meese is a Research Associate at the Mobility Data Analytics Center at Carnegie Mellon University, joining the group in September 2026. Before joining MAC, Collin received a B.S. in Computer Science and a PhD in Civil Engineering from the University of Delaware. Collin is a recipient of the NSF Graduate Research Fellowship and a Koerner Family Foundation graduate fellowship.
Collin's research develops machine learning methods that keep traffic prediction accurate in real time, including federated and online learning from traffic sensor data, and uses generative AI to simulate rare, disruptive events such as crashes so that traffic management centers can better anticipate them.
Research interests
Real-time traffic prediction, federated and online learning, generative models for non-recurrent events, blockchain and security for connected vehicles.