Machine Learning • AI in FinTech • Applied Data Science • Econometrics
Interdisciplinary researcher combining advanced machine learning techniques with domain expertise in FinTech, digital health, and maritime analytics. Programme Leader for Data Science & AI programmes at Bournemouth University.
Currently accepting PhD enquiries
5 current, 1 completion
Including major KTP grant
Books, journals, conferences
Active collaborations
Measuring academic influence and real-world application
Across major academic databases
Demonstrating sustained research impact
Publications with 10+ citations
International research collaborations
Academic and industry recognition
Ranked among top researchers globally in Sustainable Development & Energy (Stanford/Elsevier 2024)
Research directly influencing UK financial crime detection systems and healthcare AI deployment
Consulted on AI regulation and digital transformation strategies in finance and healthcare
Developing cutting-edge deep learning architectures for financial crime detection. Tab-AML system outperforms traditional rule-based approaches in transaction monitoring.
Learn more →Leading major UKVI Knowledge Transfer Partnership deploying AI solutions in the UK care sector. Transforming operational efficiency and care delivery through data science.
View projects →Supervising industry-funded PhD projects in vessel performance optimisation and police well-being interventions. Real-world AI applications with measurable impact.
See supervision →Leading multiple BSc Data Science & Analytics programmes. Building industry-aligned curriculum and preparing the next generation of data scientists.
View programmes →Feedback from PhD students, industry partners, and research collaborators
Dr Adedoyin's expertise in AI and financial systems was instrumental in developing our anti-money laundering solution. His ability to bridge academic research with real-world applications is exceptional.
Under Dr Adedoyin's supervision, I've developed both technical skills and research independence. His mentorship style balances guidance with autonomy, pushing me to achieve more than I thought possible.
Recent achievements, publications, and research milestones
Our paper "Tab-AML: A Transformer based transaction monitoring model for anti-money laundering" has been accepted for presentation at the IEEE Conference on Artificial Intelligence 2025. This work introduces a novel deep learning architecture for financial crime detection.
View Publication →Successfully secured and launched a Knowledge Transfer Partnership with Nourish Care Limited, deploying AI solutions to transform health and social care delivery. Project runs through 2027.
Learn More →Presented keynote on "AI and Machine Learning in Financial Crime Prevention" at the UK FinTech Innovation Summit, discussing transformer models and their applications in AML systems.
Research impact continues to grow with total citations surpassing 8,663, h-index of 47, and i10-index of 86. Work cited across 10+ countries globally.
View Publications →Seeking motivated PhD candidates in Machine Learning, FinTech AI, and Digital Health Analytics. Fully-funded studentships available through industry partnerships.
Apply Now →Launched collaborative research project applying machine learning to maritime operations analytics and predictive maintenance systems for shipping industry partners.
Stay updated with my latest research and activities
Get in TouchIEEE Conference on Artificial Intelligence (CAI 2025)
IEEE Conference on Artificial Intelligence (CAI 2025)
Future Generation Computer Systems, 159, 161-171
Technological Forecasting and Social Change, 185, 122044
I am actively seeking motivated PhD candidates with strong quantitative backgrounds in computer science, mathematics, economics, or engineering. I also welcome collaboration with industry partners and research institutions on funded projects.