Muhammad Abdus Salam
Assistant Professor, Department of Management Information Systems (MIS) · Noakhali Science and Technology University (NSTU)
Research Interests
Human-AI Interaction, AI Commercialization, Digital Engagement, AI-Business Applications, FinTech, Artificial Intelligence
Biography
Muhammad Abdus Salam, known professionally as “Salam Shadhin,” is an award-winning academic and researcher. He is an Assistant Professor of Management Information Systems (MIS) at Noakhali Science and Technology University (NSTU). His research interests encompass topics related to Human-AI Interaction, AI Commercialization, Digital Engagement, AI-Business Applications, and FinTech. His research advances understanding of artificial intelligence and emerging technologies from commercial, social, and ethical perspectives, emphasizing real-world industry needs, responsible governance, digital literacy, community engagement, and sustainable innovation. His work highlights how the strategic design and deployment of AI and emerging technologies can enhance human–technology interaction, foster consumer trust, and generate transformative value across markets and society.
Education
He was awarded the “Best Paper Award” at the 4th International Conference on Business, Economics, and Finance (ICBEF 2023) held at Universiti Brunei Darussalam, “Best Extended Abstract Award” at the 9th World Business Ethics Forum (WBEF 2025) hosted by City University of Macau, as well as the “PhD Colloquium Award 2025,” organized by the UBD School of Business and Economics (UBDSBE). He is currently pursuing a PhD at the UBDSBE, Universiti Brunei Darussalam (UBD). He has published widely in scholarly journals and proceedings and coauthored several books through broad international...
Recent Scopus Publications
- Unraveling the dynamics of mobile wallets in promoting cashless tourism in Bangladesh: implementation of UTAUT2 model
- Green FinTech Innovations: Empowering Inclusive Development and Advancing Towards the Sustainable Economy
- The Transformative Prospects of AI-Powered Virtual Influencers in Digital Consumer Engagement and Marketing Strategies
- Towards an AutoML-Based Data Analytical Framework for Predicting Bankruptcy in Industrial Sector
- High-performance work systems, organizational identification, trust in leader, perceived organizational support and healthcare professionals' turnover intention
Links
- ORCID https://orcid.org/0000-0001-9599-632X
- Google Scholar https://scholar.google.com/citations?user=BAoQ-AoAAAAJ
- Scopus https://www.scopus.com/authid/detail.uri?authorId=56489975200