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Abdullah Tokmak

    20222026

    Research activity per year

    Personal profile

    Keywords

    • Bayesian optimization
    • Control
    • Kernel methods
    • machine learning

    Expertise related to UN Sustainable Development Goals

    In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

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    Dive into the research topics where Abdullah Tokmak is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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    Collaborations and top research areas from the last five years

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    • Towards safe control parameter tuning in distributed multi-agent systems

      Tokmak, A., Schön, T. B. & Baumann, D., 12 Jan 2026, 2025 IEEE 64th Conference on Decision and Control, CDC 2025. IEEE, p. 2929-2936 8 p. (Proceedings of the IEEE Conference on Decision & Control).

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
    • Automatic nonlinear MPC approximation with closed-loop guarantees

      Tokmak, A., Fiedler, C., Zeilinger, M. N., Trimpe, S. & Köhler, J., 2025, In: IEEE Transactions on Automatic Control. 70, 10, p. 6388-6403 16 p.

      Research output: Contribution to journalArticleScientificpeer-review

      Open Access
      5 Citations (Web of Science)
    • PACSBO: Probably approximately correct safe Bayesian optimization

      Tokmak, A., Schön, T. B. & Baumann, D., 1 Oct 2025, Proceedings of the Symposium on Systems Theory in Data and Optimization. Springer, p. 3-18 15 p. (LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES).

      Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

      Open Access
    • Safe Bayesian optimization across noise models via scenario programming

      Tokmak, A., Schön, T. B. & Baumann, D., 18 Dec 2025, In: IEEE Control Systems Letters. 9, p. 3029-3034 6 p.

      Research output: Contribution to journalArticleScientificpeer-review

      Open Access
    • Safe exploration in reproducing kernel Hilbert spaces

      Tokmak, A., Gangadharan Nair Krishnan, K., Schön, T. B. & Baumann, D., 2025, In: Proceedings of Machine Learning Research. 258, p. 784-792 9 p.

      Research output: Contribution to journalConference articleScientificpeer-review

      Open Access
      1 Citation (Scopus)