The Systems Laboratory at Bilkent University is dedicated to exploring, modeling, and controlling Cyber-Physical Human Systems (CPHS). These systems integrate human dynamics with physical and cyber technologies, functioning as a cohesive entity. Our focus lies in creating frameworks that balance control authority between humans and artificial intelligence (AI) while maintaining formal safety and performance standards.
We delve deep into advancements in control theory applicable to uncertain, constrained, overactuated, and time-delay systems. Our lab is at the forefront of modeling human decision-making, particularly in safety-critical transportation contexts, employing reinforcement learning and game-theoretic approaches.
Our research enables a range of applications, including:
Additionally, we create realistic simulation environments for testing and refining autonomous vehicle technologies in mixed traffic scenarios alongside human drivers. By merging rigorous control theory with machine learning, we rigorously evaluate our methods in high-fidelity simulations and human-in-the-loop experimental systems across diverse fields such as aerospace, automotive, and robotics.
We invite students and researchers passionate about autonomy, human behavior, and the interplay between natural and artificial intelligence to join our team. If you are innovative, think outside the box, and seek unconventional approaches to problem-solving, you would be a great fit for our laboratory.
Undergraduates, graduates, and students from all disciplines are more than welcome. Interested individuals should express their interest in joining us by submitting a CV along with a brief explanation of their motivation for joining our team.
Our reputable research has resulted in numerous publications in renowned journals, including:
| Date | Publication | Journal |
|---|---|---|
| May 25, 2025 | LSTM Enhanced Neural Network Adaptive Control | International Journal of Adaptive Control and Signal Processing |
| September 24, 2024 | Robust Human-Autonomy Collaboration Framework | IEEE Control Systems Letters |
| March 30, 2024 | Flexible Quadrotor UAVs for Delay-resistant Control | Journal of Guidance, Control, and Dynamics |
| December 21, 2023 | Skill-based Hierarchical Driving Strategy | IEEE Control Systems Letters |