Regular biography
Wolfram Wiesemann is a Professor of Analytics & Operations in the Department of Business Studies at Imperial College London. His research focuses on operations and analytics, though specific research areas are not detailed in the provided information. He is affiliated with the university and maintains a profile page at https://profiles.imperial.ac.uk/ww. No additional details about his academic background, awards, or publications are available.
Scholar-generated biography
Wolfram Wiesemann is a Professor of Analytics and Operations at Imperial College Business School, specializing in Stochastic Programming, Robust Optimization, and Data-Driven Optimization. His research focuses on developing mathematical frameworks to handle uncertainty in decision-making processes. He has published extensively on topics such as distributionally robust optimization, robust Markov decision processes, and data-driven chance constrained programs. His work addresses challenges in uncertainty quantification, risk management, and optimization under ambiguity, with applications in operations research, economics, and engineering. Wiesemann's contributions include the development of generalized decision rule approximations and the analysis of K-adaptability in two-stage robust optimization problems.