I am a postdoctoral scholar in the Aeronautics and Astronautics Department at Stanford University, working with Prof. Mykel Kochenderfer at Stanford Intelligent Systems Lab (SISL) and Stanford Center for AI Safety. I receieved my Ph.D. degree in Systems Engineering at the University of Virginia, where I was part of Autonomous Mobile Robots Lab and Link Lab under the supervision of Prof. Nicola Bezzo. I received my MS and BS degrees from the Department of Electrical and Electronics Engineering at Bogazici University, Istanbul in 2016 and 2014 respectively.
I will be joining Rensselaer Polytechnic Institute (RPI) Electrical, Computer, and Systems Engineering (ECSE) department as an assistant professor in January 2024.
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 the unforeseen conditions.
In my free time, I enjoy hiking, yoga, collecting vintage photographs, watching independent movies, and traveling.
Recent News
April 2023, Our paper Backward Reachability Analysis of Neural Feedback Loops: Techniques for Linear and Nonlinear Systems is accepted to IEEE Open Journal of Control Systems.
March 2023, Our paper Experience Filter: Using Past Experiences on Unseen Tasks or Environments is accepted to IEEE Intelligent Vehicles Symposium (IV)!
March 2023, I accepted a tenure-track faculty position at Rensselaer Polytechnic Institute (RPI) Electrical, Computer, and Systems Engineering (ECSE) department! I will start in January 2024.
August 2022, I’m selected for EECS Rising Stars Workshop at UT Austin!
July 2022, Our papers “Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments” and “Learning Enabled Fast Planning and Control in Dynamic Environments with Intermittent Information” are accepted at IROS 2022.
June 2022, Our paper “Meta-Learning-based Proactive Online Planning for UAVs under Degraded Conditions” is accepted to RA-L (with presentation at IROS 2022)!
June 2022, We hosted Learning for Dynamics and Control (L4DC) Conference!
June 2022, Our paper “Uncertainty-Aware Online Merge Planning with Learned Driver Behavior” is accepted to be presented at ITSC 2022. Arvix Link