Biography

I am a Lecturer in Future Power Systems in the Department of Electronic and Electrical Engineering at the University of Bath. I obtained my BEng in Electrical and Electronic Engineering through a 2+2 joint programme between the University of Manchester and North China Electric Power University. I then joined the CDT in Power Networks at the University of Manchester, where I completed my PhD in Power System Dynamics (thesis published by Springer). Following two years of postdoctoral research as a Research Associate at the University of Manchester and Imperial College London, I started my lectureship in September 2025.

I have worked closely with system operators and industry partners, including NESO, Energinet, and AEMO, on solving real-world, cutting-edge challenges in practical power systems. My work primarily focuses on understanding the dynamic impact of large-scale integration of power-electronic-interfaced technologies. I am an active member of the IET, IEEE, and CIGRE, and regularly review papers for leading international journals and conferences. You can find my publications on Google Scholar.

I am expecting a fully funded PhD scholarship to become available this year (ideally September) in the area of data-driven diagnostics for the dynamic behaviour and stability analysis of future power-electronics-dominated power systems, with a particular focus on physics-informed AI.

The scholarship is expected to be open to both home and international students. Interested candidates are welcome to contact me by email for further details.

Research Interests

My research addresses power system security and stability challenges arising from power-electronic-dominated power systems. As renewable generation, storage, and flexible demand are increasingly integrated through new power-electronic-interfaced technology, I aim to develop analysis and control frameworks that enable secure, stable, and reliable operation of future low-carbon power systems.

My research is structured around three closely connected themes:

• Stability of power-electronic-dominated power systems

Compared with conventional synchronous machines, power-electronic-interfaced technologies differ fundamentally in structure and dynamic behaviour. While they offer fast responses and significant operational flexibility, insufficient understanding of their system-level impact can introduce new stability threats. I am therefore working in developing systematic methods to examine and quantify how emerging power-electronic devices influence overall system dynamics and security, using a range of analytical, numerical, and data-driven techniques.

• Hybrid model- and data-driven stability analysis of converter-based systems

Stability analysis power electronic-dominated power system is challenging because the power electronic’s dynamics are largely governed by complex control algorithms that are often proprietary and lack transparency. Purely data-driven or AI-based approaches, meanwhile, suffer from high data requirements, limited interpretability, and computational cost. To address this challenge, I develop hybrid stability analysis approaches that combine model-based, and AI-based methods. To address these limitations, I aim to develop hybrid stability analysis approaches that combine model-based and AI-based methods, enabling accurate and efficient stability online assessment and monitoring in real-world power systems with limited model visibility.

• Stability-oriented support services from distributed energy resources

As power systems evolve towards greater decentralisation, increasing amounts of generation and flexibility are connected at the distribution level through power-electronic interfaces. My research explores how distributed energy resources, including renewable generation, energy storage, and flexible demand, can be coordinated to provide stability-oriented supplementary services across multiple time scales. By exploiting the inherent flexibility of these resources, this work supports improved system resilience, enhanced stability margins, and reliable operation of future transmission and distribution integrated power systems.

I am actively looking for motivated and enthusiastic students and researchers who are interested in tackling research challenges in modern power systems. Key research areas include:

• The impact of emerging power-electronic-interfaced technologies on power system security, stability, and flexibility.

• Supplementary support services provided by power-electronic devices across multiple time scales.

• Data science and AI-based methods for stability analysis and dynamic monitoring of power-electronic-dominated power systems.

If you are interested, or would like to know more about potential PhD projects and what doctoral research involves, please feel free to get in touch.

I am expecting a fully funded PhD scholarship to become available this year (ideally September) in the area of data-driven diagnostics for the dynamic behaviour and stability analysis of future power-electronics-dominated power systems, with a particular focus on physics-informed AI.

The scholarship is expected to be open to both home and international students. Interested candidates are welcome to contact me by email for further details.