Research Interests

My research focuses on addressing critical challenges in power systems, renewable energy integration, and engineering education. Below are my primary areas of interest:

Renewable Energy Integration in Power Systems

  • Developing control strategies to enhance the stability and reliability of renewable energy-based systems.
  • Investigating the impact of high renewable energy penetration and distributed generation on power system stability.
  • Designing voltage source converters (VSCs) for weak-grid systems to optimize performance and mitigate instability.

Smart Grids and Power Electronics

  • Advancing the role of power electronic compensators for voltage and frequency regulation in smart grids.
  • Creating autonomous control strategies for AC/DC microgrids, incorporating energy storage systems to improve grid resilience.
  • Developing multi-physics sensor arrays for power electronic prognostics, with applications in electric vehicles and grid infrastructure.

Engineering Education and Pedagogy

  • Exploring the impact of digital learning technologies on student engagement and learning outcomes.
  • Innovating in assessment methodologies, particularly digital assessments, to enhance accessibility and inclusivity.
  • Investigating curriculum design approaches that link learning outcomes across modules to create coherent academic pathways.

My research has led to significant contributions in the form of publications, collaborative projects, and student supervision. Currently, I am supervising a PhD project focusing on weak-grid instability in future power systems, aiming to develop robust control parameters for VSCs to ensure stability and reliability in highly renewable environments.

Additionally, I am committed to advancing teaching practices through evidence-based approaches, with a particular emphasis on integrating digital tools into engineering education.

Current Research Grant

Transforming Feedback Consistency and Usefulness with LLMs (2025–2026)
Funded by Imperial College London’s Excellence Fund for Learning and Teaching Innovation (~£65,000). This project focuses on enhancing the clarity, consistency, and usefulness of student feedback through the application of large language models (LLMs). As Principal Investigator, I lead the project in collaboration with colleagues across the College and supervise a Research Assistant appointed for its duration.