Esmat (Yasi) Sangari

Dr. Esmat (Yasi) Sangari serves as an Assistant Professor in Business Analytics and Information Systems. Her research focuses on applying operations research, game theory, and optimization algorithms to examine various aspects of supply chain design, planning, and operations management. She also works on pricing and price-matching strategies in omni-channel retail systems. More recently, she has extended her research to the open-source AI ecosystem, studying the adoption and popularity of AI models. The main goal of her research is to provide actionable insights that enhance profitability, improve efficiency, and support strategic decision-making for supply chain stakeholders and technology developers. She received her Ph.D. in Industrial Engineering and Management Sciences from Northwestern University, and her B.Sc. and M.Sc. in Industrial Engineering from the University of Tehran.

• Omni-channel retail management
• Supply chain and operations management
• Artifical intelligence
• Pricing and revenue management

• Northwestern University, PhD in Industrial Engineering and Management Sciences, 2021
• University of Tehran, MSc in Industrial Engineering, 2015
• University of Tehran, BSc in Industrial Engineering - Systems Analysis, 2013

• Lecturer in Supply Chain, Operations, and Technology, Olin Business School, Washington University in St. Louis

• Sangari, E., Abughoush, K. & Azarm, M. (2025). Unveiling the Dynamics of Open-Source AI Models: Development Trends, Industry Applications, and Challenges. Proceedings of the 58th Hawaii International Conference on System Sciences.
• Sangari, E., Jolai, F., & Sangari, M. S. (2024). A novel fuzzy finite-horizon economic lot and delivery scheduling model with sequence-dependent setups. Complex & Intelligent Systems, 1-23.
• Rabbani, M., Keyhanian, S., Aryaee, M., & Sangari, E. (2018). Solving an Integrated Sales-Leasing Problem With Remanufacturing and Inventory Shortage Using Differential Evolution. International Journal of Operations Research and Information Systems (IJORIS), 9(3), 1-26.
• Farrokhi-Asl, H., Tavakkoli-Moghaddam, R., Asgarian, B., & Sangari, E. (2017). Metaheuristics for a bi-objective location-routing-problem in waste collection management. Journal of Industrial and Production Engineering, 34(4), 239-252.
• Azadeh, A., Sangari, M. S., Sangari, E., & Fatehi, S. (2015). A particle swarm algorithm for optimising inspection policies in serial multistage production processes with uncertain inspection costs. International Journal of Computer Integrated Manufacturing, 28(7), 766-780.