Fachbereich
Mathematik und Statistik

Forschungsgebiete:

• Personalized Medicine
• Artificial Intelligence (AI) for PKPD modelling
• Variational Autoencoder
• PDE/ODE constrained optimization and Optimal Control
• Data-Driven Model Order Reduction
• Model Predictive Control
• Dynamical systems

Publikationen

• Finite-Dimensional RHC Control of Linear Time-Varying Parabolic PDEs: Stability Analysis and Model-Order Reduction
  B. Azmi, J. Rohleff, S. Volkwein
  2023
• Model order reduction for optimality systems through empirical gramians
  L. Mechelli, J. Rohleff, S. Volkwein
  2023
• Data-Driven Modeling and Control of Complex Dynamical Systems Arising in Renal Anemia Therapy
  S. Casper, D. H. Fuertinger, P. Kotanko, L. Mechelli, J. Rohleff, S. Volkwein
  2021