Dr. Amin Reza Kalantari Khalil Abad | Engineering | Best Researcher Award
Iran University of Science and Technology | Iran
Dr. Amin Reza Kalantari Khalil Abad is a distinguished researcher and Lecturer in Industrial Engineering at Iran University of Science and Technology, Tehran, specializing in system optimization and sustainable supply chain design. He earned his Ph.D. in Industrial Engineering from Iran University of Science and Technology (2024), focusing on designing resilient horticultural supply chains under pest disruption, and holds an M.Sc. in Industrial Engineering (System Optimization) from Kharazmi University and a B.Sc. from Meybod University, Iran. His research expertise spans decision-making, operations research, mathematical modeling, and optimization, with emphasis on sustainable, resilient, and circular supply chain networks under uncertainty. Dr. Amin Reza Kalantari Khalil Abad has extensive teaching experience as a lecturer and teaching assistant in logistics, supply chain management, operations research, and software applications including GAMS and MiniTab. He has published six high-impact journal articles, including in the Journal of Environmental Management (2025), Journal of Industrial Information Integration (2025), Computers & Chemical Engineering (2024, 2023), Journal of Cleaner Production (2024), and Applied Soft Computing (2023). His work has been cited 57 times by 51 documents, achieving an h-index of 5 according to Scopus. Recognized as Top Ph.D. Student in Education (2021–2022) and Research (2023–2024), he also serves as a reviewer for leading journals and international conferences. Through his innovative research integrating optimization techniques, sustainable development, and supply chain resiliency, Dr. Amin Reza Kalantari Khalil Abad has significantly contributed to advancing both academic knowledge and practical applications, making him a highly deserving candidate for the Best Researcher Award.
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Featured Publications
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Alizadeh, M., Kalantari Khalil Abad, A. R., Jahani, H., & Makui, A. (2023). Prevention of post-pandemic crises: A green sustainable and reliable healthcare supply chain network design for emergency medical products. Journal of Cleaner Production, 139702. https://doi.org/10.1016/j.jclepro.2023.139702
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Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Toward circular economy for pomegranate fruit supply chain under dynamic uncertainty: A case study. Computers & Chemical Engineering, 178, 108362. https://doi.org/10.1016/j.compchemeng.2023.108362
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Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2022). Green closed-loop supply chain network design with stochastic demand: A novel accelerated Benders decomposition method. Scientia Iranica, 29(5), 2578–2592. https://doi.org/10.24200/sci.2022.55657
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Kalantari Khalil Abad, A. R., Barzinpour, F., & Pishvaee, M. S. (2023). Green and reliable medical device supply chain network design under deep dynamic uncertainty: A novel approach in the context of COVID-19 outbreak. Applied Soft Computing, 110964. https://doi.org/10.1016/j.asoc.2023.110964
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Kalantari Khalil Abad, A. R., & Pasandideh, S. H. R. (2021). Green closed-loop supply chain network design: A novel bi-objective chance-constraint approach. RAIRO-Operations Research, 55(2), 811–840. https://doi.org/10.1051/ro/2021035