Prof. Dr. Frauke Liers
image: F. Liers

Prof. Dr. Frauke Liers

Optimization under Uncertainty & Data Analysis

  • Mathematical optimization with discrete and continuos 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 ans stochasticity, e.g. distributional robustness
  • novel approaches for integrating analytical models with knowledge learnt from data
  • applications in enegery, 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.