Mohammad Hassan Shakil
About
Mohammad Hassan Shakil is a PhD Research Fellow in Business Administration at the Norwegian University of Science and Technology (NTNU), Norway, and a Visiting Researcher at the Smith School of Enterprise and the Environment, University of Oxford. Before joining NTNU, he served as an Assistant Professor at East Delta University, Bangladesh, and as an Assistant Lecturer/Tutor at Taylor’s University (AACSB-accredited), Malaysia, from 2018 to 2021.
He has been recognized among the Top 2% of scientists worldwide in the 2024 Stanford–Elsevier global ranking for his research contributions in Economics & Business and Environmental Sciences. His research focuses on the application of artificial intelligence and machine learning in ESG.
Publications
2026
-
Shakil, Mohammad Hassan;
Pollestad, Arne Johan;
Kyaw, Khine;
Munim, Ziaul Haque.
(2026)
Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI.
Journal of Environmental Management (JEM)
Academic article
2025
-
Shakil, Mohammad Hassan;
Pollestad, Arne Johan;
Kyaw, Khine Aye Myat.
(2025)
Environmental, social and governance controversies and systematic risk: A machine learning approach.
Finance Research Letters
Academic article
2024
-
Shakil, Mohammad Hassan.
(2024)
Environmental, social and governance controversies: A bibliometric review and research agenda.
Finance Research Letters
Academic article
Journal publications
-
Shakil, Mohammad Hassan;
Pollestad, Arne Johan;
Kyaw, Khine;
Munim, Ziaul Haque.
(2026)
Board gender diversity and emissions performance: Insights from panel regressions, machine learning, and explainable AI.
Journal of Environmental Management (JEM)
Academic article
-
Shakil, Mohammad Hassan;
Pollestad, Arne Johan;
Kyaw, Khine Aye Myat.
(2025)
Environmental, social and governance controversies and systematic risk: A machine learning approach.
Finance Research Letters
Academic article
-
Shakil, Mohammad Hassan.
(2024)
Environmental, social and governance controversies: A bibliometric review and research agenda.
Finance Research Letters
Academic article