- Mahmood Taghavi (Sep 2021-present; co-supervisor). Energy Efficiency and Emission Reduction Technology Integration through Digital Twin in Shipping. UiT.
- Veronica Jaramillo Jimenez (Feb 2020-present; co-supervisor). Tentative title: Big Data Analytics for Green Ships. USN.
- Karen Czachorowski (Aug 2018 -Sep 2021). Tentative title: Digital technology applied to the maritime offshore logistics. USN.
- Bahsalijeva, M. (2022). The impact of Flags of Convenience on the occupational health, safety and well-being of seafarers. USN.
- Hansen, K-k. F. (2022). Propulsion systems selection for maritime autonomous surface ships. USN.
- Johansson, A. (2022). Revisiting the link between port infrastructure quality, logistics performance, seaborne trade, and economic growth. USN.
- Sørli, M. (2022). Predicting ship accidents using automated machine learning. USN. (Co-supervised with Veronica J. J. and Hyungju K.)
- Mushahara, N. (2022). Governance model for green port management in the Norwegian context. USN. (Co-supervised with Mariia D.)
- Framnes, D. V. (2022). The effect of transport infrastructure quality on regional innovation. USN. (Co-supervisor)
- Gebray, M. Y. (2022). Technology roadmap for building a smart port. USN. (Co-supervisor)
- Gjergji, E. (2021). Tanker shipping freight market analysis. USN.
- Rashid, M. R. (2021). Long-term forecast of container port throughput. USN.
- Okoli, U. (2021). The impacts of COVID-19 on crew management. USN.
- Hasan, K. R. (2021). Alternative fuels for marine industry. USN.
- Nepal, B. (2020). Forecasting container throughput of transshipment and gateway ports using machine learning. USN.
- Balasubramaniyan, S. (2020). Blockchain adaptation strategy in Oil and Gas industry. USN.
- Padazopoulos, M. G. (2020, co-supervisor). Forecasting BDI Sub-Indices using Holt-Winters and Linear Regression Models. USN.
- Johannesen, H. (2020). Predictive analytics of dry bulk freight rates for the China-Brazil route. USN.
- Vemuri, S. (2020). Predictive analysis of the Southeast Asia Container Freight Index . USN.
- Raaness, H. (2020). Impacts of big data analytic capabilities on the triple bottom line: the case of Norwegian maritime cluster. USN.
- Ghimire, K. and Khanal, B. (2019). Passenger satisfaction with hybrid electric bus service in Norway: A PLS Structural Equation modelling approach. UiA.
- Bydall, E. (2018). Green port management practice and performance: The case of Kristiansand Port. UiA.
- Gundersen, V. B. (2022). The great fall in oil tanker freight rates and the outlook going forward. USN.
- Sukke, M. (2022). Technology Roadmap for Autonomous Feeder Loop Service. USN.
- Sheik, M. A. (2022). Impacts of COVID-19 on sustainability dimensions in the Norwegian logistics service industry. USN.
- Gundersen, L. A. (2022). Analysis of forecasting system design. USN.
- Hussein, M. M. (2022). Warehouse system re-design for improved efficiency. USN. (Co-supervised with Mariia D.)
- Ghalegolabi, M. (2022). Island supply chain network design simulation. USN. (Co-supervisor).
- Sandersen, M. (2021). Supply chain integration in shipping companies. USN.
- Mohammed, I. B. (2021). Impact of COVID-19 in supply chain operations. USN.
- Løkeberg, L. (2021). Digitalization in Norwegian ports. USN.
- Salama, R. (2021). Failure in automated warehouses. USN.
- Diriye, S. (2021). Covid-19 effects on maritime industry. USN.
- Singh, S. S. (2020). Seafarers’ awareness of cyber security on board. USN.
- Gundersen, L. A. Spring 2021. Supply Chain Management Bachelor Course. USN.
- Myre, J. L. Fall 2020. CROWDCUL Project. USN.
- Agana, J. A. Fall 2019. Research Methods PhD Course. UiA.
- Riss, A. A. Spring 2019. Research Methods Bachelor Course. UiA.
- Aden, A. Spring 2019. Research Methods Bachelor Course. UiA.
- Gjerd, H. E. Spring 2019. Research Methods Bachelor Course. UiA.
Bachelor Students: If you are a bachelor student in my department and interested in research which are in line with my research interest, I can offer you research training and supervise you later in your thesis. Also, depending on availability of fund, I would love to involve you in research projects.
Master Students: If you are a master student in my department and interested in research which are in line with my research interest, I can offer you research training and supervise you later in your thesis. Also, depending on availability of fund, I would love to involve you in research projects.
PhD Students: If you are a PhD student, doing research in line with my research interests and want to collaborate, I can offer you two alternatives regardless of geographical distance. First, I can co-author with you and provide some supervision via skype. Second, I can host you in my institution for a duration of 1-3 months to work under my supervision. In this case, your main supervisor must agree with your visit and you should have sufficient financial backup for your visit. In case your home institution do not provide financial support, you may apply for finding here.