MSc in Electrical Engineering Budapest University of Technology and Economics, Faculty of Electrical Engineering and Informatics, 2023
BSc in Mechatronics Engineering Budapest University of Technology and Economics, Faculty of Mechanical Engineering, 2021
Bayesian filtering (Daum–Huang filters, particle filters)
probabilistic machine learning (probabilistic inference, physics-informed neural networks, information geometry, data-adaptive filtering)
perception in autonomous driving systems (lidar-camera fusion, SLAM, localization, tracking)
Research on perception systems of vehicles and mobile robots based on sensor information,
supervisor: Dr. Tamás Bécsi
ELTE Alfa Generation Lab, Korda Film Studio, Ludwig Museum, Partimap
Internship: Epidemic modeling with Monte Carlo simulation
Programming
OHV rating: TBA
Electrical Engineering – Electronics
OHV rating: 5.69 (23/24/2); 5.83 (24/25/2)
Mechatronics of Mobile Machines
OHV rating: 5.75 (24/25/1)
LiDAR-based mobile robot localization using Daum–Huang filter, supervisor: Dr. Olivér Törő
LiDAR-based mobile robot localization using Daum–Huang filter, supervisor: Dr. Olivér Törő
Balancing an inverted pendulum using an inkjet printer mechanism, supervisor: Dr. Tamás Insperger
Doctoral Excellence Scholarship Program (DKÖP-26), 2025-2027
New National Excellence Program scholarship (ÚNKP-23), 2023
EFOP-3.6.3 project, 2020-2022
National Higher Education Scholarship (NFÖD), 2020
Pro Progressio Student Scholarship, 2020