Supervision

I supervise research across explainable AI, generative AI, affective computing, biomedical analytics, complex systems and software architecture. My supervision record includes 3 completed PhDs, 1 current PhD, 26 completed M.Sc. dissertations, 4 current M.Sc. projects and 35+ undergraduate final-year projects.

PhD supervision

Completed

• Muhammad Muneeb Saad (2025) — Generative AI training challenges, mode collapse and biomedical image augmentation. His research produced work in Artificial Intelligence Review and Biomedical Signal Processing and Control and was recognised through the Lero Director’s Prizes.
• Urja Pawar (2024) — Model-agnostic explainable AI, neighbourhood-based explanation evaluation and decision support. Outputs include work in IEEE Open Journal of the Computer Society and PMLR.
• Ryan Donovan (2023) — Affective computing and multimodal modelling of relationships between personality traits and basic emotions. This work has contributed to publications including the Journal of Personality.

Current

• Zachary Dair — Complex adaptive systems, psychophysiological data and personalised analytics, including dataset-agnostic ECG signal-quality assessment.

Selected M.Sc. supervision

2025

• Nathan Ben David Pattison — Dynamic Video Targeted Temporal Inpainting via Gaussian Splatting (M.Sc. Artificial Intelligence)
• Yash Sandeep Modi — Co-evolutionary Level Generation and Agent Development: A Hybrid GAN-RL Architecture for Ensuring Playable Game Content (M.Sc. Artificial Intelligence)
• Shane Ward — SDCS-X: Enabling Open and Modular Software-Defined Control Systems in Discrete Manufacturing (M.Sc. Software Architecture & Design)
• Amal Zackaria — Architectural Models for Master Data Management in Data Mesh (M.Sc. Software Architecture & Design)
• Ahmed Ghanem — VolumeScaler Controller (M.Sc. Software Architecture & Design)
• Felipe Tuyama de Faria Barbosa — Assessing Playability of Automated Piano Transcriptions with Heuristic Metrics Based on Music Theory (M.Sc. Software Architecture & Design)

Earlier selected projects

• Marwen Battikh (2024) — A Developer-Friendly RBAC-Enabled Micro Frontend Framework with Dynamic Discovery Support
• Mickael Mania (2024) — Addressing the Exploration-Exploitation Dilemma in Adaptive Software Systems
• James Mahoney (2024) — Thread Pool Starvation Detection in Containerised Environments
• David Garcia Lopez (2024) — Performance Analysis of Rust, C++ and C# in High-Load Transactional Systems
• Declan Williamson (2022) — WebTransport: An Initial Assessment
• Gyanendar Manohar (2022) — InceptionCaps: A Performant Glaucoma Classification Model for Data-Scarce Environments

Selected undergraduate supervision

• Eleonora Blazhko (2026) — Image-based Survival Prediction of Lung Cancer; Best Poster, AI in Health 2026, Imperial College London
• Christopher O’Grady (2024) — An Exploration into Algorithmic Traders and Risk in the Stock Market
• WeiXuan Leong (2024) — Towards Open Source: Refactoring and Migrating Legacy Systems as Open-Source Solutions
• Conor Pasley (2024) — Improving the Communication of Large Language Models through Socio-Economic Personas
• Matthew Byrne (2023) — Technology-Enabled Care: Fall Prediction in Elder Care Facilities
• Jonathon Mahony (2023) — Tyre Mate: Tread-Depth Estimation on a Mobile Device