Rate My Professor Gita Taherkhani

Dr. Taherkhani's research specializes in supply chain management analytics, focusing on deterministic and stochastic models along with solution algorithms for data-driven decision-making at strategic, tactical, and operational levels in transportation, logistics, and telecommunications. She addresses these challenges from analytical and empirical viewpoints, incorporating sustainability aspects in scheduling, network design, facility location, and hub location problems. Her work applies to airline passenger and freight networks, express shipment, postal delivery, truckload and less-than-truckload transportation. Key publications include 'Demand-Driven Hub Network Design Under Uncertainty for Perishable Goods' (Transportation Science, 2026, with Hao Li, Mike Hewitt, Sibel A. Alumur), 'Robust Stochastic Models for Profit-Maximizing Hub Location' (Transportation Science, 2021), 'Accelerating Benders Decomposition: Theory and Implementation' (2022), and 'An Alternative Approach to Address Uncertainty in Hub Location-Allocation Problems' (2023). Additional honors encompass honorable mention for the INFORMS SOLA Best Student Paper Award (2021) and second place in the same competition (2019). She teaches courses such as Introduction to Operations Management, Supply Chain Analytics, Operations Management, Supply Chain Modeling, Decision Strategy, Introduction to Optimization, Engineering Economics, and Quantitative Data Analysis.