Dissertation Theses
Dissertation theses usually deal with complex mathematical optimization problems for which so far no efficient solution methods or theoretical foundations exist.
Often the optimization problems under consideration result from engineering questions or from industry and economics, but could as well deal with the theory of certain classes of optimization problems. Optimization problems containing partial differential equations as constraints are of particular interest for our workgroup. Examples are optimization involving flow problems or mechanical structures.
Additionally the workgroup develops novel algorithms for nonlinear and mixed-integer nonlinear optimization problems.
Dissertation Theses in Progress
- Model-guided Machine Learning
(Prof. Ulbrich) Isabel Jacob - Mixed-Integer Nonlinear Optimization of Heating Networks
(Prof. Pfetsch and Prof. Ulbrich) Lea Rehlich - Optimal Control and Generalized Nash Equilibrium Problems on Networks of Scalar Conservation Laws
(Prof. Ulbrich) Marcel Steinhardt - Mixed-Integer Nonlinear Optimization Methods for the Robust Optimization of Renewable Energy Systems Based on Iron
(Prof. Ulbrich) Elisa Corbean - Robust Design Optimization of Electrical Machines with IGA
(Prof. Ulbrich) Theodor Komann - Optimal Control of Hyperbolic Systems of Conservations Laws
(Prof. Ulbrich) Jannik Breitkopf - Simulation based Optimization for Wetting Phenomena
(Prof. Ulbrich) Clara Bernklau