Before joining Buckinghamshire New University in 2025, I worked as a Research Fellow at Brunel University of London, contributing to major international projects in artificial intelligence, predictive modelling, and sustainable energy. I led work on the EU Horizon 2020 Dig_IT project, developing hazard prediction and optimisation tools for digital mining, and contributed to the InnovateUK WAVES programme on hydrogen-based energy systems for zero-emission vessels. Earlier in my career, I spent nearly a decade as a Senior Engineer in Malaysia’s power generation sector, leading large-scale electrical and instrumentation projects.

I studied for my PhD in Electrical and Electronic Engineering at Brunel University of London, my Master’s in Engineering Management at Universiti Tenaga Nasional, and my bachelor’s in Electrical Engineering at Universiti Sains Malaysia. My specialist area of research is system engineering, AI-driven optimisation, predictive modelling and event-based data analytics for sustainable energy systems and industrial operations. It is interesting because it combines real-time data, machine learning, and engineering practice to solve critical challenges in energy efficiency and safety.

I am a member of the Institution of Engineering and Technology (IET), the Malaysia Board of Technologists (MBOT), and an Associate Fellow of the Higher Education Academy (AFHEA).

My specialist knowledge has led me to work with European industry partners such as mining companies in Norway, Finland, Spain, and Italy, on projects including hazard prediction models and optimisation tools for digital mining, as well as with UK-based initiatives on hydrogen fuel technologies.

My greatest career highlight to date is developing AI-driven optimisation tools that reduced mining operation costs by 25%, creating early warning hazard prediction models that have enhanced safety in large-scale industrial environments, and developing Event Modeller Data Analytics (EMDA) tools that enable real-time predictive modelling for complex engineering systems.