Hossein Baharmand

Hossein Baharmand is Associate Professor of Project and Supply Chain Management at the Department of Working Life and Innovation, University of Agder (UiA). He received his PhD in information and communication technology in 2018 at UiA. His has solid background in the field of engineering (MSc in Industrial Engineering and BSc in Mechanical Engineering). He is also affiliated as International Research Fellow at Humanitarian Logistics (HUMLOG) Institute, Hanken School of Echonomics, Finland.

Hossein has published articles in Tansportation Research Part E, Annals of Operations Research, International Journal of Disaster Risk Reduction, and Technology in Society. He won the Jose Maria Sarriegi Award 2020 for the best academic research article on Disaster Management from the Fundación Aon España and the Catastrophe Observatory, Spain. He also won the Best Doctoral Thesis Award 2019 for his dissertation from the Hanken School of Economics. At present he is leading the research project CONTRA (COVID19 Network Technology based Responsive Action) funded by the Research Council of Norway in 2020. 

At UiA Hossein is supporting the study programme Industriell økonomi og teknologiledelse (INDØK) where he is teaching the Project Management and Planning course (IND-416). He has been an active member of the International Society for Informations Systems for Crisis Response and Management since 2015. Hossein was the Publication chair the 2015 ISCRAM conference. He has also organized the EURO-HOpe mini-conference in 2019 and co-chaired  conference tracks. Currently Hossein serves as the Publications and Academic Standards Chair on the ISCRAM's Board of Directors. 

Hossein is following (and cotributing to) multiple research leads about using emerging technologies such as blockchain technology, Internet of Things, and Artificial Intelligence to improve humanitarian operations.

Methodologically Hossein has experience and expertise in using qualitative methods (e.g., structured/semi-structured interviews, surveys, field observation, and content analysis) as well as quantitative methods (e.g., questionnaires, multi-criteria/attribute decision analysis, multi-objective programming, and Monte Carlo Simulation).