Education & Qualifications

Obtained his BSc degree in Mechatronics Engineering at Budapest University of Technology and Economics (BME) in 2019, MSc degree in Control Engineering at the BME Faculty of Electrical Engineering and Informatics in 2021, and MSc degree in Mechanical Engineering Modelling at the BME Faculty of Mechanical Engineering in 2022.

Research Areas

Currently a PhD student at BME Faculty of Transportation Engineering and Vehicle Engineering. His research area is the reliability of neural network-based systems, the design of reinforcement learning-based control methods and implementation of such methods in real-life test vehicles.

Teaching Activity

Demonstrator for Vehicle Control I-II.

Highlighted Publications

Lelkó, A., & Németh, B. (2024).
Optimal Motion Design for Autonomous Vehicles With Learning Aided Robust Control.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 73(9), 12638-12651. [SJR: D1]
Lelkó, A., & Németh, B. (2025).
Safe Robust Framework for Reinforcement Learning-based Control of Indoor Vehicles.
PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING, 53(3), 250-259. [SJR: Q2]
Lelkó, A., Németh, B., & Gáspár, P. (2024).
Reinforcement Learning-Based Robust Vehicle Control for Autonomous Vehicle Trajectory Tracking.
ENGINEERING PROCEEDINGS, 79(1). [SJR: Q3]
Lelkó, A., Németh, B., & Gáspár, P. (2021).
A tracking performance analysis method for autonomous systems with neural networks.
IFAC PAPERSONLINE, 54(1), 696-701. [SJR: Q3]
Lelkó, A., & Németh, B. (2024).
Reinforcement Learning-Based Robust Control for Path Tracking of Automated Vehicles.
LECTURE NOTES IN MECHANICAL ENGINEERING, 2024, 275-282. [SJR: Q4]