Research into detecting roller element bearing faults using wavelet decomposition and unsupervised machine learning, eliminating the need for application-specific equipment configuration. Co-authored with Dr Muhammad Usman Hadi at Ulster University and submitted to Elsevier.
Applied AI
A part-time PhD at Ulster University investigating how reinforcement learning and digital twin methodologies can be applied to real-world industrial process control, with a focus on the gap between academic theory and practical adoption in safety-critical environments.
Industrial AI
A research-led optimisation study investigating how hydraulic simulation, energy screening, and particle swarm optimisation can be combined to improve pump scheduling in water-treatment intake systems, with the aim of reducing energy use while preserving hydraulic feasibility, resilience, and practical compatibility with existing plant control.
Digital Twin Optimisation
