Teaching domains
Nafe Moradkhani is a researcher currently working as a Postdoctoral researcher at the Center of Excellence in Supply Chain Innovation and Transportation (CESIT), KEDGE Business School, France. Specializing in Computer Science and Supply Chain, his research integrates data-driven optimization, machine learning, and supply chain analytics to address challenges in urban logistics. Before his current position, Moradkhani completed his Ph.D. at IMT Mines Albi & Georgia Institute of Technology, where his doctoral thesis combined physics-based principles with advanced modeling, simulation, and machine learning techniques for system performance management. His academic journey began in Iran, where he obtained a Master of Science in Computer Software Engineering from the University of Tehran, and a Bachelor of Science in Computer Science from Sharif University of Technology. With publications in renowned journals and participation in international conferences, his research contributes to advancing the academic understanding of supply chain and logistics, while also influencing industry practices. Moradkhani's dedication to integrating scientific and methodological approaches reflects his commitment to fostering interdisciplinary innovation and excellence in supply chain management and optimization.