Dr. Mohammad Zoynul Abedin is a Senior Lecturer of Fintech and Financial Innovation at the Teesside University International Business School (TUIBS). He is an active researcher in the field of fintech, financial innovation, machine learning, business analytics, data mining, and big data analytics.

Dr. Abedin has more than fifteen years of experience in teaching, learning, scholarly and leadership activities in higher education globally. Before joining the TUIBS, Abedin served as an Associate Professor of Finance in Hajee Mohammad Danesh Science and Technology University, one of the leading public universities in Bangladesh. He started his professional career as a Lecturer in Finance at a reputed private university in Bangladesh.  

Dr. Abedin successfully completed a two-year long postdoctoral research on Machine Learning and Deep Learning Applications in Business Data Modelling under the talent hunt programme at the Dalian Maritime University, China. Earlier, Abedin received his Ph.D. in Neural Network Credit Scoring: Evidence from Business Applications from the School of Economics and Management (AACSB-accredited) of the Dalian University of Technology, China. Dr. Abedin completed a four-year BBA (Hons) and an MBA in Finance from the University of Chittagong, one of the top-ranked public universities in Bangladesh.

Area:   Fintech, Financial Innovation, Digital and Machine Learning in Finance and Accounting, Computational Finance and related areas, Computational Accounting and related areas

Issues: Big Data Analytics, Business Intelligence, Business Process Mining, Fintech, Financial Product Modelling, Financial Distress Prediction, Stock Market Data Analytics, Detection of Fraudulent Financial Reporting, Tax and Audit Data Forecasting, Credit Card Anomalies, Sales/Demand/Material Backorder Prediction, Fraud Detection in Financial Transaction, Insurance Risk Modelling, Time Series Data Forecasting, Foreign Exchange Market Data Modelling, Customer Relationship Management (Churn Prediction, Survival Analysis, Customer Lifetime value Management), Knowledge Mining from Social Media Data, Cloud Computing, Blockchain, Pattern Recognition.

Dr. Abedin is the author of more than 70 research papers that includes full-length manuscripts, conference papers, and book chapters. He served as a co-guest editor for the special issue of Machine Learning Technologies on Energy Economics and Finance in Times of Crisis: A COVID-19 Call in the Annals of Operations Research. Abedin's first edited book titled, The Essentials of Machine Learning in Finance and Accounting has been published by Taylor & Francis, UK in June 2021.

Dr. Abedin work has appeared in the IEEE Transactions on Industrial Informatics,  Annals of Operations Research, International Journal of Production Research, Information Systems Frontiers, International Journal of Finance & Economics, Research in International Business and Finance, Journal of Business Economics and Management, International Journal of Islamic and Middle Eastern Finance and Management, Journal of the Knowledge Economy, Journal of Credit Risk, Journal of Risk Model Validation, Complex & Intelligent Systems, Risk Management, IEEE Access, Environment, Development and Sustainability, Asia-Pacific Journal of Operational Research, International Journal of Artificial Intelligence Tools and elsewhere. 

Business Analytics, Digital Finance, Financial Technology, Financial Data Mining, Machine Learning, Mathematical Economics, Statistics for Managerial Decisions, Managerial Economics, Decision Analysis, Operations Research, Optimization, Management Science are some of Dr. Abedin's teaching portfolios. He is currently teaching on the post-graduate modules (MSc Accounting & Finance) in

• Finance Management (Module Leader)
• Production and Operations Management (Module Leader)

Abedin also supervises post-graduate dissertations.

Professional engagement

• BAFA: British Accounting and Finance Association
• FMA: Financial Management Association, USA

Editorial roles

• Guest editor, Decision Support Systems (ABS-3*, ABDC-A*) CfP: Explainable AI for Enhanced Decision Making
• Guest editor, Technological Forecasting & Social Change (ABS-3*) CfP: Big data analytics in high stake decision forecasting
• Lead guest editor, Journal of International Financial Markets, Institutions & Money (ABS-3*)
• Lead guest editor, Finance Research Letters (ABS-2*) 
• Co-guest editor, Annals of Operations Research (ABS-3*)
• Editorial Board Member, Journal of Global Information Management (JGIM), ABS-2, ABDC-A
• Editorial Board Member, International Journal of Financial Studies, ABDC-B

Co-organizer with University College London, University of Edinburgh Business School, RMIT University, and Northwest A&F University, China and scientific comittee member of the attached conference-

• The Impact of Fintech and Climate Change on Agricultural Finance and Investment

Working as an Academic committee member at 2nd Credit Scoring and Credit Rating Conference 2022 (CSCR II) and 2nd ISSAT International Conference on Data Science in Business, Finance and Industry.

• 2nd Credit Scoring and Credit Rating Conference 2022 (CSCR II)
• Credit Scoring and Credit Rating
• Data Science in Business, Finance and Industry

Edited books

• First edited book [Published]
• Second edited book [Published]
• Third edited book [Submission Open]

Dr. Abedin is an ad-hoc reviewer for a number of journals such as  Int. J. of Contemporary Hospitality Management, Applied Soft Computing, IEEE Access, Industrial Management & Data Systems, Plos One, Scientific Reports, Journal of Business Economics and Management, Management Decision, Asian Business & Management, Computational Economics, Int. J. of Islamic and Middle Eastern Fin. and Mgt., International Journal of Finance & Economics, Journal of Risk Model Validation, International Journal of Transport Economics, Mathematical Problems in Engineering, Sage Open, Data Technologies and Applications, Journal of Information Systems,  Global Finance Journal, and International Review of Financial Analysis. 

Abedin is welcoming Ph.D. students who are keen to do research in fintech and its related issues such as financial data analytics, cryptocurrency, financial data mining, machine learning, big data analytics, neurofinance, climate finance, business cyber security.

Current Ph.D. Project Supervision

• The complementary relationship of ethics and agility in the RegTech eco-system: evidence from Sub-Saharan Africa
• Relationship between cryptocurrency and growth of organized crimes: a case study of Nigeria
• Challenges of technological advancements in the banking and financial services industry: governance, threats, and risks