About Us

We specialize in understanding, modeling, and controlling Cyber-Physical Human Systems (CPHS), where the human, the physical system, and cyber-technologies act as one system. Our lab designs shared-autonomy frameworks that allocate control authority between humans and AI with formal safety and performance guarantees. We advance control theory for uncertain, constrained, overactuated, and time-delay systems. We model human decision-making in safety-critical transportation using reinforcement learning and game-theoretic tools. Applications include intent prediction, shared control, and the development of autonomous driving and piloting algorithms for multi-agent traffic. These models also power realistic simulation environments for testing and validating autonomous vehicle algorithms in mixed traffic with human drivers. Bridging rigorous control theory with machine learning, we evaluate our methods in high-fidelity simulations and human-in-the-loop experimental systems across aerospace, automotive, and robotics applications.

Click here to reach the introduction article written by Yildiray Yildiz for the “Cyber-Physical Human Systems” special issue of IEEE Control Systems journal.

Click here for the book chapter co-authored by Yildiz about Cyber Physical Human Systems, in the Encyclopedia of Systems and Control.

Join Us!

In Systems Lab, we are developing theories and algorithms to understand and build complex intelligent systems. If you want to study and contribute to the fields of autonomy, human behavior, adaptation, and interaction between natural and artificial intelligence, come and be a part of us. If you always feel like a beginner, like to think out of the box, and don’t like conventional approaches to problems, you are welcome here. Just send a short email to Yildiray Yildiz (yyildiz@bilkent.edu.tr) and tell us why you want to be a part of us. Undergraduates, graduates, and students from all departments and all universities are welcome. (Please attach a CV to your email.)