Mohsen Emadikhiav

Education

• PhD (2020) Operations and Information Management, University of Connecticut
• MS (2015) Industrial Engineering and Management, Linkoping University
• BS (2013) Industrial Engineering, Iran University of Science and Technology

Research Interests

• Business Analytics, Optimization, Machine Learning, Transportation and Logistics, Auctions and Market Design

Intellectual Contributions

• Emadikhiav, Mohsen; Day, Robert. Walrasian Pricing for Combinatorial Markets with Compact-Bidding Languages: An Application to Truckload Transportation (forthcoming), Information Systems Research
• Shi, Chenbo; Emadikhiav, Mohsen; Lozano, Leonardo; Bergman, David. (2024). Constraint Learning to Define Trust Regions in Optimization over Pre-Trained Predictive Models, INFORMS Journal on Computing, 36(6), 1382-1399
• Emadikhiav, Mohsen; Bhattacharjee, Sudip; Day, Robert; Bergman, David. (2024). A Decision Support Framework for Integrated Lane Identification and Long-term Backhaul Collaboration using Spatial Analytics and Optimization, Decision Support Systems, 180, Article: 114186
• Baghersad, Milad; Emadikhiav, Mohsen; Huang, Derrick; Behara, Ravi. (2023). Modularity Maximization to Design Contiguous Policy Zones for Pandemic Response, European Journal of Operational Research, 304(1), 99-112
• Emadikhiav, Mohsen; Bergman, D.; Day, R.. (2020). Consistent routing and scheduling with simultaneous pickups and deliveries, Production and Operations Management, 29(8), 1937-1955
• Mazdeh, M.; Emadikhiav, Mohsen; Parsa, I.. (2015). A heuristic to solve the dynamic lot sizing problem with supplier selection and quantity discounts, Computers and Industrial Engineering, 85, 33-43
• Parsa, I.; Emadikhiav, Mohsen; Mazdeh, M.; Mehrani, S.. (2013). A multi supplier lot sizing strategy using dynamic programming, International Journal of Industrial Engineering Computations, 4(1), 61-70
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