معرفی
Saman Lagzi is an Assistant Professor of Operations at the Kenan-Flagler Business School, University of North Carolina at Chapel Hill. His research integrates data analytics into business decision-making with specialized focus on revenue management, pricing, and healthcare operations management through mathematical modeling and optimization techniques.
His educational background includes:
- PhD in Operations Management and Statistics from Rotman School of Management, University of Toronto (2022)
- MMath in Combinatorics and Optimization from University of Waterloo (2016)
- M.Eng in Industrial and Systems Engineering from Auburn University (2014)
- B.Sc. in Industrial Engineering from Sharif University of Technology (2012)
Dr. Lagzi's research bridges theoretical optimization methods with practical business applications, specializing in linear/integer programming, robust optimization, and approximation algorithms to solve complex operational challenges. His work particularly targets healthcare sector efficiency improvements through data-driven pricing strategies and revenue management systems, while advancing machine learning applications in operations management.
His scientific recognition includes multiple Canadian Operations Research Society awards, Rotman Teaching Award (2022), and substantial research funding from TD Management Data and Analytics Lab and Sandra Rotman Centre for Health Sector Strategy.
- Finalist, Jeff McGill Student Paper Award (2022)
- Runner-up, Canadian ORS Best Student Paper Competition (2022)
- Ontario Graduate Scholarship (2020-2021)
- TD Lab Grants totaling $12,000 (2021-2023)
- Sandra Rotman Centre Grant ($15,000) (2021-2022)
Dr. Lagzi has secured significant research funding including $15,000 from Sandra Rotman Centre for Health Sector Strategy and $12,000 from TD Management Data and Analytics Lab for his operations research projects. His publications appear in top-tier journals like Management Science and Journal of Operations Management, where he translates complex optimization frameworks into actionable business solutions. As an educator, he teaches operations management, data analytics, and machine learning courses while mentoring students in quantitative decision-making methodologies.
