About
Esen Yel is an assistant professor at the department of Electrical, Computer, and Systems Engineering and the director of Reliable Intelligent Systems Lab (RISL) at Rensselaer Polytechnic Institute (RPI). Her research focuses on planning, monitoring, and online adaptation to improve safety and generalizability of autonomous robots under uncertainty. Before joining RPI, she was a postdoctoral scholar at Stanford University in the department of Aeronautics and Astronautics, affiliated with Stanford Intelligent Systems Lab and Stanford Center for AI Safety. She earned her Ph.D. degree in Systems Engineering from the University of Virginia and M.S. and B.S. degrees in Electrical and Electronics Engineering from Bogazici University in Turkey.
Stanford University, Postdoctoral Scholar, 2021-2023
University of Virginia, Ph.D., 2021
Bogazici University, M.S., 2016
Bogazici University, B.S., 2014
Research
My research focuses on developing techniques to improve the safety of autonomous systems operating under uncertainty. I leverage reachability analysis tools, machine learning, and runtime monitoring and recovery techniques to provide safe decisions and to adapt to unforeseen conditions.
Publications
See my Google Scholar for most up-to-date list of publications.