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Published in Symposium on Systems Theory in Data and Optimization, 2024
Recommended citation: A. Tokmak, T.B. Schön, D. Baumann. "PACSBO: Probably approximately correct safe Bayesian optimization". In: Symposium on Systems Theory in Data and Optimization (2024).
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Published in IEEE Transactions on Automatic Control, 2025
Recommended citation: A. Tokmak, C. Fiedler, M. N. Zeilinger, S. Trimpe, and J. Köhler. “Automatic nonlinear MPC approximation with closed-loop guarantees”. In: IEEE Transactions on Automatic Control (2025).
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Published in International Conference on Artificial Intelligence and Statistics, 2025
Recommended citation: A. Tokmak, K.G. Krishnan, T.B. Schön, D. Baumann. "Safe exploration in reproducing kernel Hilbert spaces". In: International Conference on Artificial Intelligence and Statistics (2025).
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Published in 64th IEEE Conference on Decision and Control, 2025
Recommended citation: A. Tokmak, T.B. Schön, D. Baumann. "Towards safe control parameter tuning in distributed multi-agent systems (2025).
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Undergraduate course, RWTH Aachen University, 2017
I served as a student teaching assistant during my bachelor’s for Bernd Markert’s Mechanics course. My tasks included assisting students in solving exercises.
Graduate course, RWTH Aachen University, 2021
I served as a student teaching assistant during my mater’s for Sebastian Trimpe’s Foundations of Machine Learning course. My tasks included generating exercises and problem sets in Latex.
Graduate course, Aalto University, 2023
I have been an active teaching assistant for Dominik Baumann’s Digital and Optimal Control course since September 2023. My responsibilities initially included designing and leading exercise sessions as well as grading exams. Since 2025, I have transitioned from leading exercise sessions to delivering lectures. In particular, I now teach the lecture on Discretization as well as my own lecture on Model Predictive Control and Convex Optimization.