Several university students working on ARNL topics were awarded prizes in the faculty-level TDK competitions held at the end of 2023.

The TDK results listed below were achieved at various faculty rounds.

  • István Gellért Knáb, Developer at the HUN-REN SZTAKI’s Systems and Control Laboratory (SCL), achieved first place in the TDK competition of the Budapest University of Technology and Economics (BME) Faculty of Transport Engineering and Vehicle Engineering (FTEVE), Section of Transport Management. He also won the Special Prizes offered by Asura Technologies and the Pro Progressio Foundation, respectively. His competition entry is entitled: Decision making based on multi-agent reinforcement learning in a highway environment.
  • András Máté Szabó, Developer at the HUN-REN SZTAKI’s Machine Sensing Research Laboratory, won first place in the TDK competition of the Optomechatronics Section of the Faculty of Mechanical Engineering of the BME. He also received a Special Prize offered by the Academy of Sciences Publishing House. His competition entry is entitled: Determining the distance of detected road defects from the ego-vehicle using stereo camera and LiDAR. His advisor was László Tizedes.
  • Kristóf Floch, Developer at the HUN-REN SZTAK’s SCL, won first place in the TDK competition of the Intelligent Systems Section of the Faculty of Electrical Engineering and Informatics (FEEI) of the BME. He also received the Special Prize of the Pro Progressio Foundation. His competition entry is entitled: Path tracking control for small vehicle platforms. His advisors were Tamás Péni and Roland Tóth.
  • Krisztián Póra, Developer at the HUN-REN SZTAKI’s Parallel and Distributed Systems Research Laboratory, won first place in the TDK competition of the John von Neumann Faculty of Informatics of Óbuda University. His competition entry is entitled: Analysis of graph-based neural networks in a distributed environment. His supervisors were Róbert Lovas and Attila Farkas.
  • Bálint Pelenczei, Developer at the HUN-REN SZTAKI”s SCL, achieved the second place in the TDK competition of the BME FTEVE, Section of Transport Management. His competition entry is entitled: Analysis and development of teaching pattern prioritization methods for reinforcement learning applications.
  • Gábor Jevuczó, Developer at the HUN-REN SZTAKI’s SCL, achieved the second place in the TDK competition of the Vehicle Control Section of the BME FTEVE. His competition entry is entitled: Optical flow based yaw-rate estimation and error detection for drones. His advisor was Péter Bauer.
  • Zsombor Novozánszki, Developer at the HUN-REN SZTAKI’s SCL, achieved the 3rd place in the TDK competition of the Intelligent Systems Section of the BME FEEI. His competition entry is entitled: Visual inertial navigation for handling GPS outages and spoofing. His advisor was Péter Bauer.
  • Ákos Bokor and Dániel Losonczi, Developers at the HUN-REN SZTAKI’s SCL, achieved the 3rd place in the TDK competition of the Vehicle Control Section of the BME FTEVE. Their competition entry is entitled: Route planning and control in an integrated ROS-Matlab environment.
  • Milán Barczi, Developer at the HUN-REN SZTAKI’s SCL, achieved the 3rd place in the TDK competition of the Flow Theory Section of the Faculty of Mechanical Engineering of the BME. His competition entry is entitled: Reduction of harmful emissions of flexible-wing passenger aircraft through wing-shape control. His advisor was Béla Takarics.
  • András Csertán, Developer at the HUN-REN SZTAKI’s Informatics Laboratory, achieved first place in the TDK competition organised by the Faculty of Informatics of the Eötvös Lóránd University (ELTE). His competition entry is entitled: On the generalization gap of feedforward ReLU networks with low sensitivity.
  • Vanda Gajdácsi and Viktória Kiss won 1st place, Ákos Jancsovics won 2nd place, and Boglárka Panna Kis received a commendation at the TDK competition organised by the Faculty of Economics of the John von Neumann University in Kecskemét. Their advisor was János Zsolt Viharos.

We use this opportunity to wish our young colleagues and their supervisors continued success.