Sardar M. N. Islam

Sardar M.N. Islam has lived, studied, worked and travelled (extensively) in different countries over a long period of time. He adopts a global and humanistic approach in his research and academic works. In his research, he has undertaken rigorous scientific studies of universal and emerging issues in several disciplines. Currently, he is a Professor at Victoria University's Institute for Sustainable Industries and Liveable Cities. He was a Professor of Business, Economics and Finance from 2007 to 2017, and has had many years of academic work experience in teaching, supervision, and multi-disciplinary research. He has published extensively across a broad range of disciplines. His research has attracted international acclaim, leading to a number of appointments as distinguished visiting professor, visiting professor or adjunct professor in artificial intelligence, accounting, industrial engineering, finance, economics and management in several different countries. Professor Islam has also received a many invitations to address international conferences as a keynote speaker. He has published articles in leading international journals including: Review of Quantitative Finance and Accounting, Journal of Optimisation Theory and Applications Journal of Management and Industrial Optimisation Annals of Operations Research, Applied Mathematical Modelling, Economic Modelling Journal of Modelling in Management. He has published a large number of research books in artificial intelligence and digitalisation, game theory, operations research, supply chian management, accounting, finance, business, economics and law. Each of these books makes significant scientific contributions to the literature. These books are published by prestigious publishers and the majority of his books are published in highly regarded book series. The following are the areas of his interest and expertise for supervision and mentoring of, and collaboration with, students and colleagues/professors: Artificial intelligence, machine learning and data analytics Game theory, agency theory and mechanism design Finance Advanced econometrics Economics/health economics Accounting and corporate governance Management science/applied quantitative methods (applied operations research methods, applied econometrics, structural equation modelling, etc.) Supply chain management/applied industrial engineering/operations management, engineering analytics and management Business and Marketing Analytics Law.