Dr. Öğüz received his B.S. and M.S. degrees from Koç University in 2007 and 2010, respectively. After spending two years as a graduate student in the Computer Science Department at the University of British Columbia, he received his Ph.D. degree from the Electrical and Computer Engineering Department at TU Munich in 2018. His Ph.D. thesis was on motion planning in close-proximity human-robot interaction. Before joining Bilkent, he was a Post-doctoral Researcher at the University of Stuttgart and Max Planck Institute for Intelligent Systems.
Dr. Öğüz’s current research focuses on learning and decision theory with applications in robotics. His recent contributions are on human-robot interaction, robust task and motion planning, learning and perception for sequential manipulation tasks, and reinforcement learning for robot control.