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Gita Taherkhani

Assistant Professor, Supply Chain Management


Dr. Taherkhani is an assistant professor in the Information Systems and Supply Chain Management Department in Quinlan School of Business at Loyola University Chicago.  She received her Ph.D. degree in Management Sciences at the University of Waterloo.

Prior to joining Loyola University Chicago, she was a postdoctoral research fellow in the Interuniversity Research Centre on Enterprise Networks, Logistics, and Transportation (CIRRELT) and the School of Management at the University of Quebec in Montreal. 

Her main research area is in supply chain management analytics, in particular developing both deterministic and stochastic models and solution algorithms for data-driven decision problems at strategic, tactical, and operational levels arising in transportation, logistics, and telecommunications. She studies these problems from both the analytical and empirical perspectives. 

In 2020, her Ph.D. dissertation was granted the second best INFORMS SOLA Dissertation Award and INFORMS AAS Dissertation Award.

Education

  • PhD in Management Sciences, University of Waterloo, Canada
  • MSc in Industrial Engineering, Koç University, Istanbul, Turkey
  • BSc in Industrial Engineering, Sharif University of Technology, Tehran, Iran

Research Interests

Applications:

  • Supply Chain Management
  • Intelligent Transport Systems
  • Logistics and Telecommunications Systems
  • Business Analytics

Methodologies:

  • Mixed-Integer Programming
  • Stochastic Optimization
  • Decomposition Methods for Large-Scale Optimization

Courses Taught

  • Introduction to Operations Management
  • Supply Chain Analytics
  • Operations Management
  • Supply Chain Modeling
  • Decision Strategy
  • Introduction to Optimization 
  • Engineering Economics
  • Quantitative Data Analysis

Awards

  • Honorable mention in the INFORMS SOLA Best Student Paper Award, Anaheim, USA, Fall 2021
  • 2nd place in the INFORMS SOLA Dissertation Award, USA. Fall 2020
  • 2nd place in the INFORMS AAS Best Dissertation Award, Seattle, USA. Fall 2019
  • 2nd place in the INFORMS SOLA Best Student Paper Award, Seattle, USA. Fall 2019