Education & Qualifications

  • Vehicle Engineer MSc, 2018.
  • PhD degree, Transportation and Vehicle Sciences, 2023.

Research Areas

  • Vehicle mechatronics
  • Embedded control systems and on-board networks
  • Machine learning

Professional Experience

  • Research Fellow, Budapest University of Technology and Economics
  • Research Fellow, SZTAKI

Teaching Activity

  • Vehicle on-board systems I-II
  • Electrotechnics

Highlighted Publications

Fehér, Á., Domina, Á., Bárdos, Á., Aradi, S., & Bécsi, T. (2025).
Path planning via reinforcement learning with closed-loop motion control and field tests.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 142. [SJR: D1]
Jekl, B., Deutsch, Z., Kopasz, M., Tóth, E., Fehér, Á., Doba, D., Németh, B., Aradi, S., Tettamanti, T., Tan, V., & Gáspár, P. (2025).
Speed planner implementation for autonomous vehicles in an urban context using mixed reality.
EUROPEAN TRANSPORT RESEARCH REVIEW, 17(1). [SJR: Q1]
Feher, A., Aradi, S., & Becsi, T. (2020).
Hierarchical Evasive Path Planning using Reinforcement Learning and Model Predictive Control.
IEEE ACCESS, 8, 187470-187482. [SJR: Q1]
Fehér, Á., Aradi, S., & Bécsi, T. (2022).
Online Trajectory Planning with Reinforcement Learning for Pedestrian Avoidance.
ELECTRONICS (SWITZ), 11(15). [SJR: Q2]
Fehér, Á., Aradi, S., & Bécsi, T. (2020).
Fast Prototype Framework for Deep Reinforcement Learning-based Trajectory Planner.
PERIODICA POLYTECHNICA TRANSPORTATION ENGINEERING, 48(4), 307-312. [SJR: Q2]