I am joining the LOOM with a focus on advanced digital twin technologies. I was awarded the prestigious Marie Skłodowska-Curie Actions Fellowship in 2022 and conducted related research at Liverpool John Moores University from 2022 to 2024. Since 2024, I have continued my research at the University of Liverpool, further advancing work in intelligent reliability, predictive maintenance, and digital twin technologies.

My research focuses on data-driven reliability analysis, health condition assessment, and predictive maintenance of energy equipment and complex engineering systems. I integrate sensor monitoring data, machine learning methods, and engineering reliability theory to develop intelligent models for fault diagnosis, remaining useful life prediction, and maintenance decision-making in real-world industrial applications.

In LOOM, I will carry out advanced research in digital twins, data-driven reliability, and predictive maintenance, working collaboratively with team members to advance trustworthy intelligent operation and maintenance technologies for energy systems and complex engineering assets.