Cigdem Gurgur


Cigdem Z. Gurgur is Associate Professor of Decision and System Sciences at Purdue University, and a member of Arthur D. Little’s AMP open consulting network. 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 (AI) 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 investigates responsible and trustworthy decision support development and the use of explainable AI methods and digital transformation in management and governance practices to deliver measurable financial, environmental, and social impacts. She has published recent research encompassing blockchain technologies in advancing the United Nations Sustainable Development Goals. 

Dr. Gurgur has consulted with companies such as Lockheed Martin Space Systems, Fort Wayne Metals Research Products Corporation, and S&P Global. She 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, Dr. Gurgur was on the faculty at Colorado School of Mines, and she held an NSF fellowship in environmentally benign manufacturing. She is a member of international academic communities, including European Operational Research and System Dynamics Societies. Dr. Gurgur 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