Teaching and Supervision

Teaching Experience

Machine Learning for Power System [lecture notes, coursework]

  • Course code: Smart Grid Technology (ELEC97077), MSc Future Power Networks (FPN)
  • Affiliation: Department of EEE, Imperial College London
  • Level: Master
  • Role: Lecturing, coursework preperation, demonstration, tutorial, and marking with Dr. Fei Teng.
  • Year: 2023-2024

Data Science and Digitalization in Energy Sector

  • Course code: MSc in Sustainable Energy Futures
  • Affiliation: Energy Futures Lab, Imperial College London
  • Level: Master
  • Role: Tutorial instructor and assessor with Dr. Daphne Tuncer.
  • Year: 2021-2025
  • Descrption: This is a master level short course where I work with the students on topic about data analysis and regulation on EVs, smart grid, and more.

Some of the topics of previous years include:

  • Tracking Europe’s electricity data: a longitudinal analysis of energy dynamics.
  • Exploring the development of a data-based federation of digital twins for smart building management.
  • Data privacy-by-design: implication for data-driven management of smart buildings.
  • Assessing current UK decarbonization progress through low carbon technology deployment.
  • Analysing electric vehicle usage – The case of commercial fleet operators. and more.

I have successfully supervised students for publiching their project works on various confernces including:

  1. T. Bunsantrakul, K. Christiaens, A. Duran, B. Owoka, M. S. Velasco Garcia, W. Xu, D. Tuncer, “Poster: Unveiling Urban Emissions from Bangkok Air Monitoring,” Extended Abstract, in the proceedings of the 2024 ACM Internet Measurements Conference, November 2024.
  2. A. Belcher, M. Esteva, A. Lam, R. Ramadhani, A. Rayhan, W. Xu, D. Tuncer “Assessing the Efficacy of IoT-based Forest Fire Detection: a Practical Use Case,” Technical report, arXiv, arXiv:2407.09117, July 2024.
  3. L. Barrera Cano, S. Raza, B. Sekibo, A. Siafaras, Q.Wolf, Z. Yin, W. Xu, and D. Tuncer, “A Comparative Perspective of Data Regulation Frameworks and their Implications for Connected Vehicles,”in the Proc. of ACM SIGCOMM 2022 Joint Workshops on (TAURIN+BGI ’22), Amsterdam, Netherlands, August, 2022.

Supervision

I have also been supervising several master and undergraduate students for their research (thesis) projects.

  • Ms. Alina Zhu (UG, 2024-2025) on topic about machine unlearning.
  • Mr. Renwei Liu (UG, 2024-2025) on topic about machine unlearning and poisoning attack.

I have been co-supervising several PhD students including:

  • Ms. Ying Yu (2024-now) on topic about efficient data-center operation with grid integration.
  • Mr. Le Fang (2023-now) on topic about learning for power system dynamics.
  • Mr. Wei Hong (2023-now) on topic about quantum computing for power system optimization.