Abstract
The advent of ubiquitous wireless sensing and communication among vehicles and infrastructure afford new opportunities for controlling transportation networks. At the same time, the emergence of autonomous technologies in vehicles is already complicating traffic flow dynamics and will soon lead to noticeable effects on global network behavior. However, improvement is not a foregone conclusion with these new technologies, and new approaches are required in order to ensure safer and more efficient urban mobility. Motivated by these challenges, this talk will elucidate structural properties of transportation networks that enable scalable and formal approaches to analysis and control.
Bio
Sam Coogan received his BS degree in electrical engineering from Georgia Tech and MS and Ph.D. degrees in electrical engineering from the University of California, Berkeley. In 2015, he was a postdoctoral research engineer at Sensys Networks, Inc., and in 2012 he was a research intern at NASA’s Jet Propulsion Lab. Before joining Georgia Tech in 2017, he was an assistant professor in the electrical engineering department at UCLA from 2015–2017. He received the Eli Jury Award from UC Berkeley EECS in 2016 for “outstanding achievement in the area of systems, communications, control or signal processing,” the Leon O. Chua Award from UC Berkeley EECS in 2014 for “outstanding achievement in an area of nonlinear science,” the best student paper award at the 2015 Hybrid Systems: Computation and Controlconference and the 2017 IEEE Transactions on Control of Network Systems Outstanding Paper Award.
