معرفی
Daniel Bienstock is the Liu Family Professor of Industrial Engineering and Operations Research and Professor of Applied Physics and Applied Mathematics at Columbia University's Fu Foundation School of Engineering and Applied Science. He has been at Columbia since 1989 and previously held roles at Bell Communications Research and Carnegie Mellon University. His research focuses on optimization, particularly discrete and nonconvex optimization, with applications to power grid vulnerability, epidemic modeling, and energy systems.
Education: Ph.D. in Operations Research from MIT (1985).
Research interests include optimization theory and algorithms, cascading failures in power grids, and the social impact of epidemics. His work integrates mathematical programming with real-world challenges in energy, infrastructure, and public health. Recent studies address risk-aware power system operations, robust optimization under uncertainty, and machine learning for energy markets.
Major awards include the 1990 Presidential Young Investigator Award. He has contributed to significant conferences such as the SIAM Conference on Optimization (2005 plenary speaker) and the International Symposium on Mathematical Programming (2006 semi-plenary speaker).
Affiliated with Columbia's Foundations of Data Science, Smart Cities, and Financial and Business Analytics centers. His work emphasizes translating theoretical advancements into practical solutions for critical infrastructure resilience and sustainable resource management.
