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About Davood
Dr. Davood Shiri is Associate Professor of Supply Chain Analytics at the University of Leeds Business School, within the Analytics, Technology and Operations Division. He holds a PhD in Industrial Engineering and Operations Management from Koç University, Istanbul, Türkiye (2019), an MSc in Industrial Engineering from Sharif University of Technology, Tehran, Iran (2014), and a BSc in Industrial Engineering from the same institution (2012). Prior to his current role, he served as Lecturer in Operations Management and Decision Sciences at the University of Sheffield. Earlier positions include Academic Research Associate at Koç University (2020-2021), Assistant Professor at Bilgi University (2020-2021), Postdoctoral Researcher at Koç University (2019-2020), and Research and Teaching Assistant at Koç University (2014-2019).
Shiri's research specializes in online optimization and decision-making under uncertainty, with applications in humanitarian logistics, healthcare operations, sustainable supply chains, network models, and disaster operations management. He has published in leading journals such as Transportation Research Part B: Methodological and European Journal of Operational Research. Key publications include "An online optimization approach to post-disaster road restoration" (Transportation Research Part B: Methodological, 2021), "Weighted online minimum latency problem with edge uncertainty" (European Journal of Operational Research, 2021), "Online routing and scheduling of search-and-rescue teams" (OR Spectrum, 2020), "Online optimization of first-responder routes in disaster response logistics" (IBM Journal of Research and Development, 2020), and "Online failure diagnosis in interdependent networks" (SN Operations Research Forum, 2021). He is a member of the Centre for Technology, Operations and Supply Chain Analysis and engages in international collaborations funded by the Eureka ITEA4 programme and Horizon Europe. His work has received over 300 citations on Google Scholar.