Funded projects • Industry partnerships • PhD supervision • Applied impact
Funding Body: UKVI Knowledge Transfer Partnership
Duration: 2025-2027
Industry Partner: Nourish Care Limited
Role: Co-Principal Investigator & Academic Supervisor
This substantial industry-academia collaboration deploys AI and data science solutions to transform care delivery in the UK health and social care sector. The project focuses on operational efficiency, quality assurance, and resident outcome improvement through machine learning applications.
Funding Body: Bournemouth University & Hampshire and Isle of Wight Constabulary
Duration: 2023-2026
Industry Partner: Hampshire and Isle of Wight Constabulary
Role: Principal Supervisor
Fully funded PhD studentship developing AI-driven digital health interventions for managing physical and mental well-being of police officers. Direct application in UK blue light services with policy impact potential.
Funding Body: Bournemouth University & Clearwater Dynamics
Duration: 2022-2025
Industry Partner: Clearwater Dynamics
Role: Principal Supervisor
Industry-sponsored PhD studentship applying machine learning to maritime sensor data for operational efficiency optimisation. Focus on fuel consumption modelling, predictive maintenance, and emissions reduction.
I actively supervise doctoral candidates working on applied problems at the intersection of machine learning, economics, and industry-relevant data science. My supervision philosophy emphasises rigorous methodology, practical impact, and industry engagement. I welcome enquiries from prospective students with strong quantitative backgrounds.
Transformer-based architectures for financial crime detection
In Progress (2022-2026)Predictive interventions for emergency services well-being
In Progress (2023-2026) • FundedML-driven vessel performance optimisation
In Progress (2022-2025) • Industry-sponsoredTechnology diffusion and innovation policy
In Progress (2021-2025)Care sector efficiency through data science
In Progress (2025-2028) • KTP-fundedThesis: Climate Policy Design Through Quantitative Analysis
Outcome: Successful completion (2024), multiple publications
I am currently accepting PhD enquiries in:
Ideal candidate profile: Strong quantitative background (Computer Science, Mathematics, Economics, Engineering, Physics), programming experience (Python/R), interest in applied research with real-world impact, motivation to engage with industry partners.
Please review my publication record and current projects before making contact. Include a brief research proposal and CV in your initial email.
Conference presentations, seminars, and invited talks
📍 Singapore
Presenting research on "Human-Centered AI in FinTech: A Conceptual Model and Strategic Research Agenda" exploring responsible AI design in financial technology applications.
📍 London, UK
Keynote address on "The Future of AI in Financial Crime Prevention: From Rule-Based Systems to Deep Learning" discussing transformer architectures for anti-money laundering.
📍 London, UK (Hybrid)
Invited talk on "Machine Learning Applications in Digital Health: From Emergency Services to Social Care" sharing insights from the £250k KTP project.
📍 Southampton, UK
Led hands-on workshop for maritime industry professionals on implementing predictive analytics for vessel performance optimisation and emissions reduction.
Interested in inviting me to speak at your event?
Get in Touch