Bio

Behnam Jabbari-Marand is a Ph.D. candidate in Industrial and Systems Engineering at North Carolina State University, where he also earned an M.S. in Operations Research. His research focuses on discrete optimization, mixed-integer programming, polyhedral analysis, and graph and network algorithms, with applications in power systems, logistics, and other large-scale decision-making problems. His work emphasizes the development of theoretically grounded and computationally efficient optimization methods, including cutting-plane algorithms and graph-based techniques. He also has professional experience applying optimization, analytics, and data-driven methods to practical decision-support and operations problems in industry.

Advisor

Adolfo R. Escobedo

Concentration

Systems Analytics and Optimization

Area(s) of Expertise

Behnam Jabbari-Marand’s research focuses on discrete optimization, with emphasis on mixed-integer programming, combinatorial optimization, polyhedral analysis, and graph- and network-based algorithms. Behnam develops theoretically grounded and computationally effective methods for large-scale optimization problems.

A major part of Behnam’s work addresses power-system optimization, including transmission expansion planning and optimal transmission switching, through improved mathematical formulations, graph-based methods, and cutting-plane algorithms. Behnam also studies network partitioning and logistics districting, combining mathematical modeling, structural analysis, algorithm design, and large-scale computational experiments.