معرفی
Aleksandr M. Kazachkov is an Assistant Professor in the Department of Industrial & Systems Engineering at the University of Florida and serves as Assistant Director of the Center for Applied Optimization. He holds a Ph.D. from Carnegie Mellon University’s Algorithms, Combinatorics, and Optimization program (2018) and completed a postdoctoral fellowship at Polytechnique Montréal under Andrea Lodi. His research focuses on discrete optimization and computational economics, particularly cutting-plane algorithms, fair resource allocation, and mechanism design for healthcare, humanitarian, and sports settings.
He has received prestigious awards including the INFORMS Computing Society Student Paper Award (2018), the GERAD Postdoctoral Fellowship, and the NSF CAREER Award (2023). His work is supported by grants from the Air Force Office of Scientific Research and the National Science Foundation. He advises several graduate students and emphasizes collaborative, prosocial research aligned with underrepresented groups’ inclusion.
Key contributions include advancements in V-polyhedral disjunctive cuts, fair allocation mechanisms, and applications of machine learning to optimization. He actively contributes to editorial roles at INFORMS Journal on Computing and Computational Optimization and Applications, and organizes academic events like the Mixed Integer Programming Workshop.
