My research is in the area of dynamical systems and autonomy and focuses on developing scalable tools for verification and control of networked, cyber-physical systems. I am especially interested in applying these tools to create efficient, intelligent, and autonomous transportation systems. My research contributes to and draws from domains including control theory, nonlinear and hybrid systems theory, formal methods, learning in probabilistic systems, and optimization.
Sam Coogan received the B.S. degree in Electrical Engineering from Georgia Tech and the M.S. 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," and the best student paper award at the 2015 Hybrid Systems: Computation and Control conference.
I am looking for highly motivated PhD students in the area of controls and dynamical systems, cyber-physical systems, formal methods, machine learning, and transportation systems. I recruit students from both ECE and CEE. If you are interested in joining my group, please apply to the graduate program in either the School of ECE or the School of CEE, depending on your background and interests, and send me an email with a copy of your CV.