Meysam Rabiee

Meysam Rabiee is an Assistant Professor of Business Analytics at the University of Colorado Denver Business School. He earned his PhD in Operations & Business Analytics from the University of Oregon. His office is located in BUS 4004.

Professor Rabiee's research develops decision support systems applying analytics to social good challenges. Primary domains include healthcare operations optimization, sustainable supply chain management, and multi-criteria group decision frameworks. Methodological expertise spans mathematical modeling, evolutionary algorithms, and machine learning applications.

Recent publications demonstrate expanding focus on explainable AI approaches and circular economy frameworks. Healthcare applications progress from ambulance logistics to occupational risk management systems, while supply chain work increasingly integrates sustainability and resilience considerations.

• Robin & Roger Best Teaching Award (2021, 2022)
• Robin & Roger Best Research Award (2022)

Laboratory affiliations weren't specified, but research involves collaborative frameworks for group decision-making in supply chain and healthcare contexts.