Amirhossein Salamirad
PhD Student
Supply Chain & Operations
Contact
Education:
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M.Sc. 2023Mathematics University of British Columbia
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M.Sc. 2020Industrial Engineering Sharif University of Technology
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B.Sc. 2017Industrial Engineering Ferdowsi University
Biography
My research focuses on operations optimization and supply chain management, with a particular emphasis on addressing disruptions in online platforms. My past work has applied robust optimization and machine learning to challenges like inventory management and supply chain resilience, resulting in several published papers on topics such as risk mitigation and healthcare optimization. Currently, I’m integrating empirical and analytical models to tackle operational issues in (potentially) digital food delivery platforms, aiming to enhance their efficiency and robustness in dynamic environments.
Selected Works & Activities
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Zohdi, M., Rafiee, M., Kayvanfar, V., & Salamiraad, A. (2022). Demand forecasting based machine learning algorithms on customer information: an applied approach. International Journal of Information Technology, 14(4), 1937-1947.
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Salamirad, A., Kheybari, S., Ishizaka, A., & Farazmand, H. (2023). Wastewater treatment technology selection using a hybrid multicriteria decision‐making method. International Transactions in Operational Research, 30(3), 1479-1504.
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Kheybari, S., Ishizaka, A., & Salamirad, A. (2023). A new hybrid risk-averse best-worst method and portfolio optimization to select temporary hospital locations for Covid-19 patients. Journal of the Operational Research Society, 74(2), 509-526.
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Kheybari, S., Monfared, M. D., Salamirad, A., & Rezaei, J. (2023). Bioethanol sustainable supply chain design: A multi-attribute bi-objective structure. Computers & Industrial Engineering, 180, 109258.
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Naji Nasrabadi Yazd, S. A., Salamirad, A., Kheybari, S., & Ishizaka, A. (2023). An efficiency-based aggregate production planning model for multi-line manufacturing systems. Operations Management Research, 16(4), 2008-2024.