Education & Qualifications

2023: Habilitation
Budapest University of Technology and Economics (BME),
Faculty of Transportation Engineering and Vehicle Engineering, Kandó Kálmán Doctoral School
2008: PhD in Transportation Sciences
BME, Faculty of Transportation Engineering
Transportation Science PhD Program
2002: MSc (Dipl. Eng.) in Transportation Engineering
BME, Faculty of Transportation Engineering
Specialization in Industrial and Transportation Logistics

Research Areas

Reinforcement Learning
Sensor Fusion
Vehicle Dynamics and Robust Control
Cooperative and Networked Transportation Systems

Professional Experience

2025–present: Head of Department, Associate Professor, Department of Transport Automation, BME
2018–2024: Vice Head of Department, Associate Professor, Department of Transport Automation, BME
2014–present: Associate Professor
2009–2014: Assistant Professor
2006–2009: Lecturer & Research Engineer, Department of Transport Automation, BME
2006–2009: Development Engineer, BME Electronic Vehicle and Vehicle Automation Knowledge Center
2005–2006: Administrative Consultant, BME Electronic Vehicle and Vehicle Automation Knowledge Center

Teaching Activity

Courses Taught
Programming
Vehicular Onboard Systems
Automotive Environmental Sensing
Logic Networks

Supervision
PhD graduates: Ferenc Hegedűs, Olivér Törő, Ádám Szabó, Bálint Kővári

Regular supervision of Scientific Students’ Associations (TDK): Since 2012, supervision of 15 TDK theses, 7 of which received awards

Awards, honors

2023: Knight’s Cross of the Order of Merit of Hungary (Magyar Érdemrend Lovagkereszt)
2021: Közlekedéstudományi Egyesület Literary Award
2018: Best Paper in Computational Methods and Software, MESA 2018
2016: TDK Award for Student Research Supervision, BME

Projects, scholarships

Selected Major Research Projects

DRESS (2008–2010): Distributed and Redundant Electro-mechanical Nose Gear Steering System
Bosch Projects (2013–2015): Focus on occupant safety, driver assistance, reliability, energy efficiency, and environmental awareness
EFOP-3.6.3-VEKOP-16-2017-00001 (2017–2022): Talent nurturing and researcher training in autonomous vehicle control technologies
Autonomous Systems National Laboratory (from 2020): Deputy technical leader at BME
TKP2021-NVA-02 (from 2021): Thematic Excellence Program on national defense and security

Selected Industrial Projects

Railway Systems (MÁV, 2006–2009): Automation of traction measurement, development of an electronic service timetable, on-board locomotive information systems
Bosch (2011–2012): Development of mechatronic controller test systems
Knorr-Bremse (2022–2024): Collaborative advanced research for braking and control technologies

Scholarships

Bolyai János Research Scholarship (2021)
ÚNKP-21-5 New National Excellence Program (2021, 2022, 2023)

Highlighted Publications

Farkas, P., Becsi, T., & Aradi, S. (2026).
Residual Reinforcement Learning Enhanced with Unsuccessful Episode Buffer.
IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 7, 37-48. [SJR: D1]
Lindenmaier, L., Aradi, S., Bécsi, T., & Gáspár, P. (2025).
Semi-Automatic BEV Ground Truth Generation for Automotive Perception Systems.
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 10(2), 1441-1454. [SJR: D1]
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]
Lindenmaier, L., Czibere, B., Aradi, S., & Bécsi, T. (2025).
A Robust and Runtime-Efficient Track-to-Track Fusion for Automotive Perception Systems.
IEEE SENSORS JOURNAL, 25(8), 14022-14035. [SJR: D1]
Farkas, P., Szoke, L., Aradi, S., & Becsi, T. (2025).
Learn to Adapt: A Policy for History-Based Online Adaptation.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 9(6), 4026-4036. [SJR: D1]