Wangkun Xu
  • Home
  • Research
  • Software
  • Teaching
  • Supervision
  • News
  • Blog
  • About

On this page

  • PhD researchers
  • Master’s project research
  • Undergraduate thesis projects

Supervision

PhD, master’s, and undergraduate research supervision.

I supervise and support PhD, master’s, and undergraduate students working across power-system optimisation, machine learning, cybersecurity, and energy data science.

PhD researchers

Chenghao Lv (Official co-supervisor)

2026–Present · Decision-focused learning for power-system planning

Wei Hong (Unofficial co-supervisor)

2023–Present · Quantum computing for power-system optimisation

Related work: Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment (paper).

Le Fang (Unofficial co-supervisor)

2023–Present · Learning for power-system dynamics and uncertainty quantification

Related work: Flow-based Polynomial Chaos Expansion for Uncertainty Quantification in Power System Dynamic Simulation (paper)

Master’s project research

Freyr V. Einarsson

2026–Present · Learning for power-system optimization

Thesis: Data-driven AC optimal power flow with differentiable convex optimisation layers.

Group project supervision

Projects supervised through Data Science and Digitalisation in the Energy Sector have led to work on renewable-energy siting, environmental sensing, connected vehicles, and digital infrastructure.

  1. A. Pedraza, E. Geirsson, F. Adams, M. Ahmad, N. Dawda, W. Xu, Y. Yu, and D. Tuncer, “Assessing Land Eligibility for Solar Photovoltaic Deployment in the UK,” IEEE 60th International Universities Power Engineering Conference, 2025. Paper.
  2. Anthony, Belcher, Wangkun Xu, et al., “Assessing the Efficacy of IoT-Based Forest Fire Detection: A Practical Use Case,” arXiv:2407.09117, 2024.
  3. Bunsantrakul, Teeratat, Wangkun Xu, et al., “Poster: Unveiling Urban Emissions from Bangkok Air Monitoring,” ACM Internet Measurement Conference, 2024.
  4. Cano, L. Barrera, Wangkun Xu, et al., “A Comparative Perspective of Data Regulation Frameworks and Their Implications for Connected Vehicles,” ACM SIGCOMM Joint Workshops, 2022.

Undergraduate thesis projects

Machine unlearning via neural-network linearisation

Alina Zhu · 2024–2025

Thesis: Machine Unlearning via Neural Network Linearization and Influence Functions.

Machine unlearning under poisoning attacks

Renwei Liu · 2024–2025

Thesis: Effect of Poisoning Attack on Influence Function and the Performance of Different Machine-Unlearning Algorithms.

Back to top

© 2026 Wangkun Xu ·

 

Built with Quarto