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وبینار امور بین الملل: Distributionally Robust Optimization: Theory and Applications
Distributionally Robust Optimization: Theory and Applications
با سخنرانی جناب آقای دکتر Hamed Rahimian در 27 آبان ماه 1399
Hamed Rahimian is an Assistant Professor in the Department of Industrial Engineering in the College of Engineering, Computing and Applied Sciences at Clemson University. Before joining Clemson IE, he was a Postdoctoral Research Fellow in the Department of Industrial Engineering and Management Sciences at Northwestern University. He received his Ph.D. in Operations Research from the Department of Integrated Systems Engineering at The Ohio State University, with minors in Mathematics and Statistics, in 2018. He also received his M.Sc. degree in Industrial Engineering from The University of Arizona, in 2011, and his M.Sc. and B.Sc. degrees in Industrial Engineering from Sharif University of Technology, Tehran, Iran, in 2011 and 2008. Hamed is broadly interested in data-driven decision-making under uncertainty, by combining ideas from optimization and statistical learning theory, to develop new theory, tools, and algorithms with applications in scarce resources allocation in complex, uncertain, and risky environments, such as those arising in water resources allocation, energy, and healthcare. Methodologically, his research focuses on developing stochastic programming, risk-averse and distributionally robust optimization, and mixed-integer programming approaches to address large-scale problems. His Ph.D. research has been recognized by a Runner-Up prize in 2017 INFORMS Computing Society Student Paper Award and a 2nd Place prize in 2019 IISE Pristker Doctoral Dissertation Award.
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