Welcome!
About Me
I’m a PhD researcher at EPFL’s Urban Transport Systems Laboratory, developing machine learning algorithms to coordinate autonomous drones for large-scale traffic monitoring. My research focuses on online learning, adaptive control, and real-time decision-making under uncertainty.
I completed my Master’s at Aalto University in Electrical Engineering (control, robotics, and ML) and my Bachelor’s at Istanbul Technical University in Control and Automation Engineering.
🚁 Current Research
Teaching swarms of drones to work together for monitoring large-scale traffic networks in real-time — exploring scalable multi-agent learning and adaptive control.
📚 Publications
Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems
B. Avcı, A. Beke, and T. Kumbasar
IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2023
📍 Songdo Incheon, Korea
A novel approach to uncertainty quantification using General Type-2 Fuzzy Systems for reliable and precise predictions.
Recognizing and Tracking Person of Interest: A Real-Time Efficient Deep Learning Based Method for Quadcopters
H. E. Dursun, E. C. Güven, B. Avcı, and T. Kumbasar
10th International Conference on Recent Advances in Space Technologies (RAST), 2023
📍 Istanbul, Turkey | Code
Real-time deep learning framework for quadcopters to recognize and track persons of interest autonomously.
