Dr. Hossein Mirzaee, University of Saskatchewan, Canada
Dr. Hossein Mirzaee is a passionate researcher in the field of operations management, with expertise spanning green supply chain optimization, uncertainty modeling, and game theory applications. He holds a PhD in Operations Management from the University of Saskatchewan, where his work has been recognized for advancing sustainability in supply chain systems. With a strong academic foundation and professional experience both in academia and industry, Hossein brings a rare combination of analytical rigor, programming expertise, and real-world insight to his work. 🌍📈
👤 Profile
Scopus
🎓 Education
Dr. Mirzaee earned his PhD in Operations Management from the University of Saskatchewan (2019–2023), where he focused on green supply chain management, uncertainty control, and game theory-based models. Prior to that, he completed an MSc in Industrial Engineering at Kharazmi University (2015–2017), with research on optimization and metaheuristics. His academic journey began with a BSc in Industrial Engineering from Razi University (2011–2015), where he delved into project management and operations research.
💼 Experience
Dr. Mirzaee has diverse academic and industry experience. As a Graduate Research Assistant at the University of Saskatchewan, he implemented exact and metaheuristic algorithms in Python and GAMS to optimize green supply chains. He applied game-theoretical models using NashPy to reduce carbon emissions and handle regulatory conflicts. His teaching roles include sessional lecturer and co-instructor in operations and statistics, where he led tutorials and designed assessments. Outside academia, he served as Operations Manager at Europcar Iran and worked at the National Iranian Oil Refining and Distribution Company, contributing to equipment maintenance planning.
🔬 Research Interests
Dr. Mirzaee’s research interests lie at the intersection of green supply chain management, optimization, and game theory. He explores uncertainty modeling through stochastic, fuzzy, and robust optimization techniques. His recent studies address challenges like carbon cap-and-trade, supply chain disruption during pandemics, and sustainable decision-making models. He is also intrigued by approximation algorithms and metaheuristics in large-scale supply chain systems.
🏆 Awards & Recognition
Dr. Mirzaee was entrusted with leadership as President of the Iranian Students’ Council at the University of Saskatchewan (2020–2021), where he organized cultural and academic events. As a respected peer reviewer for journals like Computers & Industrial Engineering and Maritime Policy & Management, he has been acknowledged for his constructive insights and contributions to academic quality enhancement.
📚 Publication Top Notes
A preemptive fuzzy goal programming model for generalized supplier selection and order allocation with incremental discount. Computers & Industrial Engineering,
A robust optimization model for green supplier selection and order allocation in a closed-loop supply chain considering cap-and-trade mechanism.
A three-player game theory model for carbon cap-and-trade mechanism with stochastic parameters.
Resilient green supply chain design to mitigate the ripple effect: A two-stage stochastic optimization model (To be submitted)
Sustainable Entrepreneurship: A Systematic Review and Call for Pivoting toward SDGs
An evolutionary game theory model to solve the conflicts between cap-and-trade — In preparation