Dr Cagatay Iris BSc, MSc, PhD, FHEA

Personal Statement

Dr. Çağatay Iris has been an Associate Professor (Senior Lecturer) in Operations and Supply Chain Management at the University of Liverpool Management School (ULMS), joined the school in August 2019. Prior to joining ULMS, Çağatay was a postdoctoral research fellow at Nanyang Technological University in Singapore. Çağatay obtained a PhD in Management Science from Technical University of Denmark in 2016 and a MSc in Industrial Engineering in 2012.

Dr Iris is the Director of Studies (DoS) for the MSc in Business Analytics and Big Data (BABD) since 2022 and teaches both on campus and online.

Çağatay (Pronunciation: Chaatai) has research interests in transportation and logistics (including freight transportation, next-generation ports, shipping, hinterlands, urban logistics, crowdshipping), shared economy, and energy management. He mostly uses mathematical modelling and data analytics methods to improve performance of these systems. His research papers are published in journals such as Transportation Research Part B: Methodological, OMEGA: The International Journal of Management Science, Transportation Research Part E: Logistics and Transportation Review, Transportation Research Part D: Transport and Environment, Renewable and Sustainable Energy Reviews, Computers & Industrial Engineering, etc.

Dr. Iris is an editorial board member of Transportation Research Part E: Logistics and Transportation Review since 2017 and Multimodal Transportation since 2022. He has participated in projects funded by Danish Maritime Fund and EU such as Smart Load, Danish Maritime Cluster. He has also participated in the organization of Maritime Public Leaders Programme of Maritime and Port Authority (MPA) of Singapore. He has been involved in industrial projects with maritime industry, distribution centres and automotive industry.

News from Dr Iris:
We organise a special issue on - Resilient Supply Chain and Logistics Operations under Pandemic Disruptions: Modelling, Optimization and Data Analytics - at Computers & Industrial Engineering journal (IF: 7.2) and I am serving as one of the guest editors. We encourage submissions of contribution that provide rigorous model development, decision-making tools and case studies based on optimization approaches, artificial intelligence, and data-driven methods on resilient supply chain and logistics operations: Call for papers released on 15 August 2022