Vladimir Boginski is a professor in the UCF Department of Industrial Engineering and Management Systems. He received his doctorate from the University of Florida and he has been a faculty member at UCF since 2015. His research interests focus on mathematical modeling and optimization techniques in the context of network science and engineering. Boginski has co-authored more than 80 refereed publications and served as PI/co-PI on externally funded projects with more than $15M in total funding. In 2018, he was selected by the U.S. National Academy of Engineering as a participant in the Japan-America Frontiers of Engineering Symposium.

• C.-L. Chen, E.L. Pasiliao, and V. Boginski. A polyhedral approach to least cost inuence maximization in social networks. Journal of Combinatorial Optimization (IF=1.254), 45: 44, 2023.


• V. Stozhkov, A. Buchanan, S. Butenko, and V. Boginski. Continuous cubic formulations for cluster detection problems in networks. Mathematical Programming (IF=4.517), 196: 279307, 2022.


• O. Shirokikh, G. Pastukhov, A. Semenov, S. Butenko, A. Veremyev, E.L. Pasiliao, and V. Boginski. Networks of causal relationships in the U.S. stock market. Dependence Modeling, 10(1): 177190, 2022.


• A. Veremyev, V. Boginski, E.L. Pasiliao, and O.A. Prokopyev. On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs. European Journal of Operational Research (IF=6.363), 297: 86101, 2022.


• C.-L. Chen, Q.P. Zheng, A. Veremyev, E.L. Pasiliao, and V. Boginski. Failure mitigation and restoration in interdependent networks via mixed-integer optimization. IEEE Transactions on Network Science and Engineering (IF=5.033), 8: 12931304, 2021.