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Hamed Farrokhiasl (Hamed F. Asl)

Hamed Farrokhiasl (Hamed F. Asl)

Assistant Professor
(920) 442-7858
farrokhh@uwgb.edu
WH 470C
Supply Chain Management

Interests

Electric Vehicle Logistics; Sustainable Urban Logistics; Optimization and Metaheuristics; Mathematical Modeling; Quantum Computing for Optimization

Links

Biography

Hamed Farrokhiasl (Hamed F. Asl) is an Assistant Professor of Supply Chain Management in the Austin E. Cofrin School of Business at UW-Green Bay. His research focuses on vehicle routing, electric vehicle logistics, and optimization methods for sustainable urban logistics. He develops mathematical models and solution algorithms for problems such as delivery routing, waste collection, and perishable goods distribution. Several of his projects use real operational data from the Green Bay area. He is also involved with the Wisconsin Quantum Alliance and studies how quantum computing can support logistics decisions.

Education

  • Ph.D., Management Science, University of Wisconsin–Milwaukee (UWM), 2026
  • M.S., Industrial Engineering, University of Tehran, 2015
  • MicroMasters, Statistics and Data Science, Massachusetts Institute of Technology (MIT), 2024
  • B.S., Industrial Engineering, K.N.T.U, 2008

Selected Publications

  • Rabbani, M., Heidari, R., Farrokhi-Asl, H., & Rahimi, N. (2018). Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types. Journal of Cleaner Production, 170, 227-241.
  • Rabbani, M., Saravi, N. A., Farrokhi-Asl, H., Lim, S. F. W., & Tahaei, Z. (2018). Developing a sustainable supply chain optimization model for switchgrass-based bioenergy production: A case study. Journal of Cleaner Production, 200, 827-843.
  • Farrokhi-Asl, H., Makui, A., Jabbarzadeh, A., & Barzinpour, F. (2020). Solving a multi-objective sustainable waste collection problem considering a new collection network. Operational Research, 20(4), 1977-2015.
  • Rabbani, M., Sadati, S. A., & Farrokhi-Asl, H. (2020). Incorporating location routing model and decision making techniques in industrial waste management: Application in the automotive industry. Computers & Industrial Engineering, 148, 106692.

For a full list, please see Google Scholar‬.

Student Research Opportunities:

Students interested in logistics, optimization, or data-driven supply chain projects are welcome to contact him to discuss research opportunities.