Rate My Professor Gita Taherkhani

Dr. Taherkhani's research specializes in supply chain management analytics, focusing on developing deterministic and stochastic models along with solution algorithms for data-driven decision problems at strategic, tactical, and operational levels in transportation, logistics, and telecommunications. Her applications encompass intelligent transport systems, business analytics, airline passenger and freight transportation networks, express shipment and postal delivery, truckload and less-than-truckload transportation, and other industries benefiting from transportation network structures. She addresses realistic optimization problems such as scheduling, network design, and facility location, incorporating sustainability issues, and examines them from both analytical and empirical perspectives. Key methodologies include mixed-integer programming, stochastic optimization, and decomposition methods for large-scale optimization. Her contributions have earned several accolades, including an honorable mention in the INFORMS SOLA Best Student Paper Award (Anaheim, USA, Fall 2021), second place in the INFORMS SOLA Dissertation Award (USA, Fall 2020), and second place in both the INFORMS AAS Best Dissertation Award and INFORMS SOLA Best Student Paper Award (Seattle, USA, Fall 2019). Notable publications include "Robust Stochastic Models for Profit-Maximizing Hub Location Problems" (Transportation Science, 2021), "Demand-Driven Hub Network Design Under Uncertainty for Less-Than-Truckload Carriers" (2026), "Sustainable Hub Location Under Uncertainty" (2024), "Strategic Expansion of Freight Transportation Hub Networks Under Demand Uncertainty" (2024), and "Tactical Capacity Planning in an Integrated Multi-Stakeholder Freight Transportation System" (2022).