Mathematical Algorithmic Optimization

Major research interests

Efficient algorithms for (mixed-integer) optimal control and optimization problems, also considering uncertainty, learning, and real-time aspects.

Main application areas are clinical decision support, renewable energies, and mobility.

Current PhD students in the IMPRS program

Julius Martensen

Julius Martensen

PhD project: Scientific Machine Learning : Physics Informed Machine Learning in Technical Systems
Patrick-Marcel Lilienthal

Patrick-Marcel Lilienthal

PhD project: Personalized mathematical modeling of haematopoiesis

IMPRS Alumni

Jennifer Uebbing

PhD thesis: Optimization of Power-to-Methane Processes with Respect to Exergy on System Level
(May 7, 2021)

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