S. Davod Hosseini

Methodology: Operations Research [mathematical modeling, linear/(mixed-)integer/nonlinear programming, combinatorial optimization, stochastic programming, (distributionally) robust optimization, contextual optimization; decomposition, approximation, and metaheuristic algorithms for large-scale optimization], Data Science & Machine Learning

Applications: Decision-Making under Uncertainty and Risk in Transportation Planning & Logistics Management and in Healthcare Operations, with emphasis on Equity/Fairness, Sustainability, and Resilience

• Ph.D. in Management Science (2019)
  DeGroote School of Business, McMaster University (Hamilton, ON, Canada)
• M.Sc. in Industrial Engineering
  Amirkabir University of Technology (Tehran, Iran)
• B.Sc. in Industrial Engineering
  Mazandaran University of Science and Technology (Babol, Iran)