Conference2025 IEEE International Conference on Systems, Man, and Cybernetics
Members
Distributed processing of deep learning models for multi-sensor fusion Efficient multi-exit semantic segmentation via knowledge distillation and prediction recycling Leveraging LSTM networks for adaptive deep learning in connected autonomous vehicles Split computing in autonomous mobility for efficient semantic segmentation using transformers Evaluation of proximal policy optimization with extensions in virtual environments of various complexity
Ing. Róbert Rauch, PhD.
Róbert Rauch received his BSc. And MSc. Degrees in Informatics from Technical University of Košice, Slovakia in 2019 and 2021, respectively. He is currently pursuing his PhD at the Department of Computers and Informatics, Technical University of Košice under the supervision of Prof. Ing. Juraj Gazda, PhD. His research interest is acceleration of computer vision tasks for autonomous vehicles in vehicular edge computing via split computing and early exiting.
Research interests
- Computer Vision
- Edge Computing
- Autonomous Mobility
- Split Computing & Early Exiting
Publications
6 publications · 2022–2026
2026
2ConferenceIEEE 24th World Symposium on Applied Machine Intelligence and Informatics (SAMI)
2025
3Cooperative multi-agent deep reinforcement learning for dynamic task execution and resource allocation in vehicular edge computing
JournalIEEE transactions on vehicular technology.
Conference2025 IEEE Wireless Communications and Networking Conference.
Conference2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability.
2022
1Conference2022 32nd International Conference Radioelektronika, RADIOELEKTRONIKA 2022