Assistant Professor, Industrial Engineering
Data-driven stochastic modelling; optimal control; queueing theory; service and healthcare operations.
Vahid Sarhangian holds a PhD in Operations Management from the Rotman School of Management, University of Toronto (2015). Before joining MIE, he was a Postdoctoral Research Scholar at the division of Decision, Risk, and Operations at Columbia Business School (2015-2017). Professor Sarhangian’s primary research interests are in data-driven modelling and optimal control of stochastic processing networks that arise in healthcare and service delivery systems. His current research focuses on supply chain management of blood products, and developing analytical models of patient flow in hospitals with the goal of reducing patients’ waiting times and improving health outcomes.