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
PhD project: Scientific Machine Learning : Physics Informed Machine Learning in Technical Systems
IMPRS Alumni
Jennifer Uebbing
PhD thesis: Optimization of Power-to-Methane Processes with Respect to Exergy on System Level
(May 7, 2021)
(May 7, 2021)