Summary
Yunus Sahin is a PhD student at the University of Michigan with a decade of experience developing control, planning, and verification methods for cyber-physical systems, particularly multi-robot coordination and autonomous driving. He bridges control theory, formal methods, and optimization to produce scalable, correct-by-construction algorithms—work that includes a novel temporal logic for large-scale multi-agent planning and a provisional patent–backed intention-aware supervisory control framework supported by Toyota Research Institute. Yunus has implemented and tested safety-critical controllers on real vehicles at MCity, falsified open-source autopilot software, and produced MILP reformulations suitable for embedded automotive platforms during an internship at Mitsubishi Electric Research Labs. Comfortable in MATLAB, C++, and optimization toolchains, he combines theoretical rigor with hands-on validation in realistic environments.
9 years of coding experience
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Michigan
Bachelor of Science (BSc), Electrical and Electronics Engineering, Bachelor of Science (BSc), Electrical and Electronics Engineering at Middle East Technical University
Turkish, English