معرفی
Mahsa Hosseini is an Assistant Professor in Supply Chain Management & Data Analytics at the Odette School of Business, University of Windsor. She holds a Ph.D. from the Rotman School of Management (University of Toronto), an MBA, and a B.Sc. in Industrial Engineering from Sharif University of Technology. Her research focuses on operations management challenges in service operations, online platforms, sharing economy systems, and fairness/diversity considerations in algorithmic decision-making.
Education:
- Ph.D., Operations Management, Rotman School of Management, University of Toronto (2023)
- MBA, Sharif University of Technology
- B.Sc., Industrial Engineering, Sharif University of Technology
Her work addresses dynamic optimization problems such as car-sharing network relocations and diverse recommendation algorithms. Key contributions include developing dynamic relocation policies improving car-sharing efficiency by 23% and analyzing satiation effects in recommendation systems.
Awards:
- 2023 Fellowship in Management, University of Toronto
- 2023 Doctoral Completion Award, University of Toronto
Dr. Hosseini has presented research at major conferences including INFORMS and CORS. Her advisory experience includes teaching roles at Rotman and industry positions in business intelligence and market segmentation planning. Current research explores long-term impacts of algorithmic fairness in digital platforms and dynamic resource allocation strategies.
