Prof. Dr. Daniel Kuhn

Profil

Derzeitige StellungProfessor W-3 und Äquivalente
FachgebietNumerik, Optimierung, Simulation,Mathematische Statistik, Angewandte Statistik
KeywordsRobust Optimization, Data-Driven Optimization, Risk Analytics, Stochastic Programming, Distributionally Robust Optimization

Aktuelle Kontaktadresse

LandSchweiz
OrtEcublens (VD)
Universität/InstitutionEcole Polytechnique Federale de Lausanne (EPFL)
Institut/AbteilungRisk Analytics and Optimization (RAO)

Gastgeber*innen während der Förderung

Prof. Dr. Steffen RebennackInstitut für Operations Research (IOR), Stochastische Optimierung, Karlsruher Institut für Technologie (KIT), Karlsruhe
Beginn der ersten Förderung01.02.2022

Programm(e)

2021Friedrich Wilhelm Bessel-Forschungspreis-Programm

Projektbeschreibung der*des Nominierenden

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.