Vladimir Boginski

Vladimir Boginski is a Professor in the Department of Industrial Engineering and Management Systems at the University of Central Florida (UCF), affiliated with the College of Engineering and Computer Science. He holds a Ph.D. in Industrial and Systems Engineering from the University of Florida (2005), alongside earlier degrees from Moscow Institute of Physics and Technology (B.S., 2000). His research focuses on network science, optimization, and data mining, with applications in social networks, financial systems, and complex infrastructure.

• Education: Ph.D. (UF, 2005), M.S. (UF, 2003), B.S. (Moscow Institute, 2000)

Boginski's work emphasizes mathematical modeling of network structures, including robust optimization for interdependent systems, influence maximization in social media, and spectral graph theory applications. His recent studies explore small-world networks, financial market dynamics, and materials science through network-based approaches.

Publications span over two decades, with recent trends in reinforcement learning for dynamic user behavior analysis, resilience optimization in critical infrastructure, and cryptocurrency price dynamics modeling. He has contributed to foundational research on quasi-clique detection, risk-constrained routing, and robust network cluster identification.