معرفی
Reem Khir is an Assistant Professor at Purdue University's Edwardson School of Industrial Engineering specializing in supply chain optimization and logistics systems. Her research develops mathematical models and machine learning approaches for complex transportation and production systems.
Education credentials:
- PhD in Industrial Engineering (Supply Chain Engineering) from Georgia Tech (2022)
- MS in Industrial Engineering from Georgia Tech (2018)
- MS in Engineering Management from Qatar University (2014)
- BS in Industrial and Systems Engineering from Qatar University (2011)
Research focuses on optimization under uncertainty in logistics networks, machine learning for constrained optimization problems, and data-driven decision frameworks. Application areas include parcel delivery systems, trucking networks, and energy infrastructure planning.
Publications demonstrate methodological contributions to dynamic load planning, robust sortation operations, and hybrid optimization-learning approaches. Recent work integrates explainable AI with traditional optimization techniques for enhanced decision support in logistics.
Laboratory affiliations include Purdue's industrial engineering research groups. Industry collaborations appear focused on express logistics and energy systems.
