My research integrates Multiphysics simulation, advanced material characterisation and data-driven modelling for advanced manufacturing processes, including laser welding and additive manufacturing. I specialise in modelling complex transport phenomena, including heat transfer, fluid flow (CFD), phase change, mass transfer, and thermo-mechanical deformation, to enable the prediction of material behaviour and the optimisation of key process parameters, providing a foundation for intelligent manufacturing process control and improved efficiency. My work combines rigorous experimental validation using techniques such as SEM, EBSD, DIC, and XRD, with physics-informed simulations to predict microstructural evolution and mechanical response. More recently, I have incorporated AI and vision-based algorithms for defect detection and scenario generation, enabling the development of AR-enhanced, feedback-driven repair and rework systems for next-generation digital manufacturing
My research integrates Multiphysics simulation, advanced material characterisation and data-driven modelling for advanced manufacturing processes, including laser welding and additive manufacturing. I specialise in modelling complex transport phenomena, including heat transfer, fluid flow (CFD), phase change, mass transfer, and thermo-mechanical deformation, to enable the prediction of material behaviour and the optimisation of key process parameters, providing a foundation for intelligent manufacturing process control and improved efficiency. My work combines rigorous experimental validation using techniques such as SEM, EBSD, DIC, and XRD, with physics-informed simulations to predict microstructural evolution and mechanical response. More recently, I have incorporated AI and vision-based algorithms for defect detection and scenario generation, enabling the development of AR-enhanced, feedback-driven repair and rework systems for next-generation digital manufacturing