Research
I am deeply invested in building adaptive, cooperative agents capable of robust decision-making and seamless interaction with both humans and other computational entities. Over my academic journey, my research trajectory has reflected a strong, consistent focus on Multi-Agent Systems (MAS), Computational Game Theory, and Interactive Intelligence.
My foundational work began during my M.Sc. in Artificial Intelligence (summa cum laude) under the supervision of Dr. Reyhan Aydogan at Ozyegin University. There, I investigated how autonomous agents can model and adapt to human preferences, arguments, and nonverbal affective signals during real-time interactions.
My academic nomad journey has since significantly expanded my perspective on impact-oriented research:
- At the Collaborative Robotics and Intelligent Systems Institute of Oregon State University (NSF REU Scholar), I focused on optimization algorithms for 3D printing under the guidance of Prof. Yigit Menguc.
- At Brown University’s E-GLAMOR Group, led by Prof. Amy Greenwald, I introduced a combinatorial dispatching algorithm rooted in computational game theory for a supply chain management agent, securing 2nd place at the IJCAI 2021 Supply Chain Management League.
- At the University of Cambridge’s Affective Intelligence & Robotics Lab, under Prof. Hatice Gunes, I applied continual learning to convert arousal and valence feedback from users’ facial expressions into instant decision-making functions for human-robot negotiation.
- At TU Delft’s Interactive Intelligence Group, under Prof. Catholijn Jonker, I developed multimodal frameworks for human-agent negotiation and led large-scale experiments to address the challenges of modelling complex, real-time human signals.
Beyond academic research, I co-founded Kanzy Financial Technologies and served as CTO, where I architected scalable agent orchestration, persistent memory, and user risk modelling within strict compliance constraints.
