Saeed Zolfaghari

Saeed Zolfaghari is a Professor in the Department of Mechanical, Industrial, and Mechatronics Engineering at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also serves as Vice-President, Administration and Operations, demonstrating strong leadership in both academic and administrative domains. He holds a PhD from the University of Ottawa and is a licensed Professional Engineer (PEng).

• BSc: Isfahan University of Technology (1988)
• MSc: Iran University of Science and Technology (1991)
• PhD: University of Ottawa (1997)

His research lies at the intersection of operations research, management science, and industrial engineering, with a focus on simulation modeling, loyalty programs, and productivity improvement. He investigates how businesses can design effective loyalty strategies and optimize operational systems using analytical and simulation-based models.

His recent publications reveal a consistent trend in applying quantitative methods to real-world business problems, especially in evaluating the profitability of customer reward programs, optimizing scheduling in digital cinema, and improving supply chain decisions through multi-objective modeling. His work often employs game theory, goal programming, and efficiency analysis to solve complex industrial challenges.

Scientific Awards:

• Fellow, Engineering Institute of Canada (2021)
• IIE Global Faculty Advisor Award (2012)
• Service Award, Canadian Operational Research Society (2011)
• Teaching Excellence Award, FEAS, Ryerson University (2007)
• Practice Prize Award, Canadian Operational Research Society (2006)

Dr. Zolfaghari actively supervises graduate students and has contributed significantly to both theoretical and applied research. His work has been supported by recognition from professional societies, indicating strong impact in operations research and industrial engineering. He continues to contribute to innovation in system design and business analytics.

He is affiliated with research initiatives in operations modeling and industrial optimization, likely leading or contributing to a research group focused on decision analytics and simulation. His administrative role further amplifies his influence on institutional research strategy and innovation.