Prof. Dr. Frauke Liers
Optimization under Uncertainty & Data Analysis
Prof. Dr. Frauke Liers
Optimization under Uncertainty & Data Analysis
- Mathematical optimization with discrete and continuous decisions in (non-) linear contexts
- Development of methods that can solve large instances
- Protecting best possible decisions against uncertainties already in the modeling process by method development in robust optimization and integrating robustness and stochasticity. E.g. distributional robustness
- novel approaches for integrating analytical models with knowledge learnt from data
- applications in energy, logistics, material science, and the natural sciences
- third-party projects funded by the DFG, the EU, the BMBF, the BMWK, the Fee State of Bavaria, etc.