Prof. Dr. Daniel Kuhn

Profile

Academic positionFull Professor
Research fieldsNumerical Analysis, Optimization, Simulation,Mathematical and Applied Statistics
KeywordsRobust Optimization, Data-Driven Optimization, Risk Analytics, Stochastic Programming, Distributionally Robust Optimization

Current contact address

CountrySwitzerland
CityEcublens (VD)
InstitutionEcole Polytechnique Federale de Lausanne (EPFL)
InstituteRisk Analytics and Optimization (RAO)

Host during sponsorship

Prof. Dr. Steffen RebennackInstitut für Operations Research (IOR), Stochastische Optimierung, Karlsruher Institut für Technologie (KIT), Karlsruhe
Start of initial sponsorship01/02/2022

Programme(s)

2021Friedrich Wilhelm Bessel Research Award Programme

Nominator's project description

Professor Kuhn is a leading international authority in distributionally robust mathematical optimization. He works at the intersection of robust statistics and mathematical optimization theory and has made important contributions to the theory of distributionally robust optimization and its tractability. His results have fundamental implications for many other fields, for example artificial intelligence. During his stay in Germany, he intends to conduct research on dynamic data-driven stochastic optimization in hydro-thermal scheduling.