Wangkun Xu
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  • Experience
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About

I am a Research Associate in the Control and Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London. I work on the UK Electric Power Innovation for a Carbon-free Society Centre (UK-EPICS). I received my PhD in Electrical Engineering from Imperial College London in 2024.

My research focuses on the intersection of machine learning, optimisation, and system dynamics, with a particular focus on efficient, robust, and secure power-system operation and control under uncertainty and high penetrations of renewable energy.

Current position

Research Associate
Imperial College London

Contact

wangkun.xu18@imperial.ac.uk

Research profiles

Google Scholar · ORCID · GitHub

Experience

2024–Present

Research Associate, Control and Power Research Group, Imperial College London

Working with Assoc. Prof. Fei Teng and Prof. Mark J. O’Malley.

2024–Present

Guest Lecturer, Department of Electrical and Electronic Engineering, Imperial College London

Machine Learning and Data Science for Power Systems (MSc Future Power Network).

2024–Present

Guest Lecturer, Energy Futures Lab, Imperial College London

Data Science and Digitalisation in the Energy Sector (MSc Sustainable Energy Futures).

Aug–Oct 2025

Visiting Scholar, EI Lab, Department of Electrical Engineering, Tsinghua University

Hosted by Assoc. Prof. Ning Zhang.

2024

Deep Learning Research Intern, MediaTek Research, UK

Working with Prof. Guillaume Hennequin and Dr Alberto Bernacchia.

2019–2024

Postgraduate Teaching Assistant, Imperial College London

Energy Futures Lab and the Department of Electrical and Electronic Engineering.

Education

2024

PhD in Electrical Engineering, Imperial College London

Supervisors: Assoc. Prof. Fei Teng and Assoc. Prof. Imad M. Jaimoukha. Thesis: Blending Data and Model for Robust and Secure Power System Operations (thesis).

2019

MSc in Control Systems, Imperial College London

Distinction, top of cohort. Supervisor: Assoc. Prof. Imad M. Jaimoukha. Thesis: Robust Positively Invariant Sets for Model Predictive Control.

2018

BEng in Electrical and Electronic Engineering, University of Liverpool and Xi’an Jiaotong-Liverpool University

First-class honours, top of cohort. Supervisor: Dr Lin Jiang. Thesis: High-Efficiency Vector Control of Induction Motor Drives.

Awards

2025

Best Poster Award, 2nd International Summer School on IBR-Dominated Power Systems

Hosted by Tsinghua University, Beijing.

2019

EEE Department PhD Scholarship, Imperial College London

Fully funded scholarship awarded for distinguished performance in the MSc programme.

2018

William Rathbone Medal, University of Liverpool

Awarded for distinguished final-year academic performance (only one award per year).

2017

David Inglis Prize, University of Liverpool

Awarded to the most distinguished second-year student in the Department of Electrical and Electronic Engineering (only one award per year).

Academic service and memberships

  • Associate Fellow of the Higher Education Academy (AFHEA), 2025–Present
  • Committee Member, CIGRE UK Next Generation Network London Hub, 2025–Present
  • Member, IEEE and IEEE Power & Energy Society, 2022–Present
  • Member, Institution of Engineering and Technology, 2023–Present
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