Cigdem Gurgur

Cigdem Z. Gurgur is Associate Professor of Decision and System Sciences at Purdue University. She is a data and management science expert with experience in optimization models under uncertainty and decision support systems development with algorithmic theory design. Dr. Gurgur’s work utilizes meta-analytics, computational models, and artificial intelligence techniques for resource allocation and applies mathematical programming integrating financial and operational risk assessment. She conducts interdisciplinary research geared toward solving complex technical and societal challenges within sustainable supply chain management, healthcare operations, medical wire and device manufacturing, and technology and innovation. Dr. Gurgur’s most recent work encompasses blockchain technologies in advancing applied research for data science and the United Nations (UN) Sustainable Development Goals. She has consulted with companies such as Lockheed Martin Space Systems, Fort Wayne Metals Research Products Corporation, and S&P Global. Dr. Gurgur is Area Editor for Data Technologies and Analytics in Data & Policy. Her research has been published in major journals such as Naval Research Logistics, The Engineering Economist, Journal on Applied Analytics, Journal of the Operational Research Society, Renewable Energy: An International Journal, and International Journal of Energy Sector Management. Previously, she was on the faculty at Colorado School of Mines and held an NSF fellowship in environmentally benign manufacturing. Dr. Gurgur is member of international academic communities, including European Operational Research and System Dynamics Societies. She earned a master’s of science degree in management science from the University of Warwick, UK, through a British Council scholarship; a master’s of science degree in applied and mathematical statistics from Rutgers University; and a PhD in industrial and systems engineering from Rutgers University. She can be reached at cgurgur@purdue.edu.