Janis Adamek M.Sc.
Research interests
- Encrypted control
- Security and resilience for vehicular networks
Teaching activities
Advanced Predictive Control (Exercises)
Further information
10 | 2022 – today: Research Assistant at the Control and Cyberphysical Systems Group, Department of Mechanical Engineering, TU Dortmund University
10 | 2019 – 05 | 2022 Studies at the Department of Electrical Engineering of TU Dortmund (M.Sc.), Master thesis "Imitation Learning mit harten Nebenbedingungen".
03 | 2019 – 05 | 2019 Internship at the Leopold Kostal GmbH & Co. KG
10 | 2016 – 09 | 2019 Studies at the Electrical Engineering Department of TU Dortmund University (B. Sc.)
[C] J. Adamek, P. Binfet, N. Schlüter, and M. Schulze Darup. Encrypted system identification as-a-service via reliable encrypted matrix inversion, 63rd IEEE Conference on Decision and Control (CDC), 2024 (accepted). Preprint: arxiv.org/abs/2410.20575
[C] J. Adamek, P.Binfet, N.Schlüter and M. Schulze Darup. Encrypted system identification as-a-service via reliable encrypted matrix inversion, 63rd IEEE Conference on Decision and Control (CDC), 2024 (submitted).
[C] J. Adamek, and M. Schulze Darup. Privacy-preserving gradient-based fair federated learning, 10th International Conference on Control, Decision and Information Technologies (CoDIT) , 2024 (submitted).
[C] J. Adamek, N.Schlüter and M. Schulze Darup. On the design of stabilizing FIR controllers, 10th International Conference on Control, Decision and Information Technologies (CoDIT) , 2024 (submitted).
[J] P. Binfet, J. Adamek, N. Schlüter and M. Schulze Darup. Towards privacy-preserving cooperative control via encrypted distributed optimization, at - Automatisierungstechnik, vol. 71, no. 9, pp. 736-747, 2023. DOI: 10.1515/auto-2023-0082
[A] C.Diehl, J.Adamek, M.Krüger, F.Hoffmann and T. Bertram. Differentiable Constrained Imitation Learning for Robot Motion Planning and Control. Preprint: arXiv.2210.11796