About Me
I am currently a master’s student in Electrical Engineering at Aalto University, Espoo, Finland. I am specializing in control and robotics, with a minor in machine learning. My research interests lie at the intersection of these fields, particularly in optimal control, uncertainty quantification, reinforcement learning, and probabilistic methods.
Teaching and Research Assistantships
Currently, I am a teaching assistant for ELEC-E8101 Digital and Optimal Control at Aalto University under Prof. Dominik Baumann. For the upcoming semester, I will also be a teaching assistant for CS-E4825 Probabilistic Machine Learning under Prof. Pekka Marttinen.
My research journey began at the Artificial Intelligence and Intelligent Systems (AI2S) Laboratory at Istanbul Technical University, where I focused on uncertainty quantification and its integration into deep learning and fuzzy logic systems.
Last summer, I joined the Computational Systems Biology group at Aalto University, led by Prof. Harri Lähdesmäki, as a research assistant. During this time, I worked on continuous-time reinforcement learning methods.
Publications
B. Avcı, A. Beke, and T. Kumbasar, “Towards Reliable Uncertainty Quantification and High Precision with General Type-2 Fuzzy Systems,” in Proceedings of the IEEE International Conference on Fuzzy Systems, Songdo Incheon, Korea, 2023.
H. E. Dursun, E. C. Guven, B. Avcı, and T. Kumbasar, “Recognizing and Tracking Person of Interest: A Real-Time Efficient Deep Learning-Based Method for Quadcopters,” in 10th International Conference on Recent Advances in Space Technologies (RAST), Istanbul, Turkey, 2023.