Open Positions:

In each year, I have some open position for master students and Ph.D. Student. If you are interested in AI for Power System are welcome to contact me via email😊.

➤ Undergraduates with programming skills are welcome to join for scientific research and academic competitions. During my undergraduate studies, I also participated in the National Mathematical Modeling Contest and the MCM/ICM (both winning awards) and published papers in Chinese EI-indexed journals. Therefore, I have some experience with competitions and research training during the undergraduate period.

➤ Students from interdisciplinary backgrounds (e.g., mathematics/communications/computer science) are also encouraged and welcome to contact me via email. We can arrange a tea chat. Based on your interests and goals, we can plan your direction and development path together.

➤ I strongly recommend/support students within the research group to apply for overseas funding or CSC (I have many years of experience in Europe and am also familiar with overseas funding) for exchanges abroad (even short-term) during your master's or doctoral studies, such as to the University of Hong Kong, TU Dortmund (Germany), Aaborg University (Denmark), EPFL (Switzerland), and the neighboring Tokyo Institute of Technology (my previous research group). If you are interested in other schools, I can also help you send emails and build connections.

Personal Profile:

Wenlong Liao is currently a researcher at the School of Electrical Engineering, Southeast University. He has been selected for national high-level young talent programs, the EU Marie Skłodowska-Curie Fellowship, the Japan JSPS Fellowship, the German DAAD Artificial Intelligence Fellowship (AI-net Fellow), and is recognized as a top 2% scientist globally by Stanford University in 2025. His main research areas include: artificial intelligence, anomaly behavior analysis of load data, load/wind/solar power forecasting, distribution network operation optimization considering renewable uncertainty, and distribution network cybersecurity (such as false data injection attack identification). In the past five years, he has published 17 high-level papers as first or corresponding author in IEEE Transactions journals, including 3 ESI Highly Cited Papers. He has led projects funded by the Danish OTTO Foundation, the University of Leicester Startup Fund, the German DAAD Fund, the Japan JSPS Fund, and others. Awards received include the IEEE SmartGridComm 2025 Outstanding PhD Thesis Award, the MPCE Journal Outstanding Young Scholar Award, two MPCE Journal Best Paper Awards, two High Voltage Technology Journal Best Paper Awards, the IEEE ACPEE Best Student Paper Award, and one Best Paper Award and one Best Oral Presentation Award at the CIYCEE conference. He serves as an Associate Editor for the journals PCMP and IET RPG. He has conducted research visits and exchanges at the University of Hong Kong, Tokyo Institute of Technology (Japan), and TU Dortmund (Germany).

Education:

2013.09-2017.06: China Agricultural University, Mathematics and Applied Mathematics, Bachelor (Dual Degree, Supervisor: Prof. Zhencai Shen)

2013.09-2017.06: China Agricultural University, Electrical Engineering, Bachelor (Supervisor: Prof. Dechang Yang)

2017.09-2020.06: Tianjin University, Electrical Engineering, Master (Supervisor: Prof. Shouxiang Wang)

2020.10-2023.06: Aalborg University, Denmark, Energy Technology, PhD (Supervisor: Prof. Birgitte Bak-Jensen, Member of the Danish Academy of Technical Sciences, Recipient of the Danish Knight's Cross)

Work Experience:

2023.08–2025.03: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, Postdoctoral Researcher (Supervisor: Prof. Fernando Porté-Agel)

2025.04–2026.02: University of Leicester, UK, Lecturer/Assistant Professor (Permanent Position)

2026.02–Present: Southeast University, Researcher

Visiting Experience:

2022.09–2023.02: University of Hong Kong, Joint PhD Training (Supervisor: Prof. Yi Wang), funded by the Danish Otto Mønsteds Fond.

2023.12–2023.12: TU Dortmund University, Germany, Visiting Scholar (Supervisor: Prof. Christian Rehtanz, Member of the Brandenburg Academy of Sciences, IEEE Fellow), funded by the German DAAD AI-net Fellowship.

2025.07–2025.08: Tokyo Institute of Technology, Japan, Visiting Scholar (Supervisor: Prof. Takayuki Ishizaki), funded by the Japan JSPS.

2025.11–2025.12: TU Dortmund University, Germany, Visiting Scholar (Supervisor: Prof. Christian Rehtanz, IEEE Fellow), as a DAAD AI-net Fellow, funded by the second phase of the German DAAD AI-net project.

Teaching Experience:

2025.04-2025.07: Digital Fundamentals

2025.04-2025.07: Electric Circuits I

2025.09-2026.01: Analog Circuit

2025.09-2026.01: Electric Circuits II

Recent Representative Publications:

1) Anomaly Behavior Analysis of Load Data

[1] W. Liao, A. Takiddin, M. Tariq, S. Chen, L. Ge and Z. Yang, "Sample Adaptive Transfer for Electricity Theft Detection With Distribution Shifts," IEEE Transactions on Power Systems, vol. 39, no. 6, pp. 7012-7024, Nov. 2024.

[2] W. Liao, R. Zhu, T. Ishizaki, Y. Li, Y. Jia and Z. Yang, "Can Gas Consumption Data Improve the Performance of Electricity Theft Detection?," IEEE Transactions on Industrial Informatics, vol. 20, no. 6, pp. 8453-8465, June 2024.

[3] W. Liao, R. Zhu, L. Ge, D. Cao and Z. Yang, "Mitigating Class Imbalance Issues in Electricity Theft Detection via a Sample-Weighted Loss," IEEE Transactions on Industrial Informatics, vol. 21, no. 2, pp. 1754-1763, Feb. 2025.

2) Energy Forecasting

[1] W. Liao, Z. Yang, X. Chen, and Y. Li, "WindGMMN: Scenario Forecasting for Wind Power Using Generative Moment Matching Networks," IEEE Transactions on Artificial Intelligence, vol. 3, no. 5, pp. 843-850, Oct. 2022.

[2] W. Liao, J. Fang, L. Ye, B. Bak-Jensen, Z. Yang, and F. Porte-Agel, "Can We Trust Explainable Artificial Intelligence in Wind Power Forecasting?," Applied Energy, vol. 376, pp.1-11, Dec. 2024 (Invited to receive a special interview and report from EPFL, Switzerland, and widely covered by world-renowned science communication media such as Wind Daily, eeNews Europe, and Science-Switzerland).

[3] W. Liao, S. Wang, B. Bak-Jensen, J. R. Pillai, Z. Yang, and K. Liu, "Ultra-short-term Interval Prediction of Wind Power Based on Graph Neural Network and Improved Bootstrap Technique," Journal of Modern Power Systems and Clean Energy, vol. 11, no. 4, pp. 1100-1114, Jul. 2023 (MPCE Journal 2023 Best Paper Award).

3) Distribution Network Optimization Considering Renewable Uncertainty

[1] W. Liao, B. Bak-Jensen, J. R. Pillai, Y. Wang, and Y. Wang, "A Review of Graph Neural Networks and Their Applications in Power Systems," Journal of Modern Power Systems and Clean Energy, vol. 10, no. 2, pp. 345-360, Mar. 2022 (ESI Highly Cited Paper; MPCE Journal 2022 Best Paper Award).

[2] W. Liao, S. Wang, B. Bak-Jensen, J. Pillai, and Z. Yang, " Robust Reactive Power Scheduling of Distribution Networks Based on Modified Bootstrap Technique", Journal of Modern Power Systems and Clean Energy, vol. 12, no. 1, pp. 154-166, Jan. 2024.

[3] W. Liao, B. Bak-Jensen, J. Pillai, Z. Yang, Z. Li and D. Yang, "Stochastic Day-ahead Optimal Scheduling of Active Distribution Networks with Renewable Energy Sources and Electric Vehicles," 8th Asia Conference on Power and Electrical Engineering (ACPEE), Tianjin, China, 2023, pp. 564-571 (Best Student Paper Award)

Honors and Awards:

1. CSEE JPES 10th Anniversary High Impact Paper Award, CSEE JPES, 2026.

2. Outstanding PhD Thesis Award, Awarded by IEEE SmartGridComm, 2025.

3. Best paper Award, Awarded by Journal of Modern Power System and Clean Energy, 2025.

4. Best Student Paper Award, Awarded by the 8th Asia Conference on Power and Electrical Engineering, 2023.

5. Best paper Award, Awarded by Journal of Modern Power System and Clean Energy, 2023.

6. The Excellent Young Scholar, Awarded by the Journal of Modern Power Systems and Clean Energy, 2023.

7. Best Paper Award, Awarded by the 2nd China International Youth Conference On Electrical Engineering, 2021.

8. Best Presentation Award, Awarded by the 2nd China International Youth Conference On Electrical Engineering, 2021.

9. Excellent Reviewer, Power System and Clean Energy Journal, 2025.

10. Excellent Paper Award, High Voltage Technology Journal, 2023 & 2025.

11. Second Prize, "Huawei Cup" 14th China Graduate Mathematical Modeling Contest, 2017.

12. Honorable Mention, Mathematical Contest in Modeling/Interdisciplinary Contest in Modeling (MCM/ICM), 2016.

13. First Prize (Beijing), National Undergraduate Mathematical Modeling Contest, 2015.

Software Copyrights:

1. Electric Vehicle Charging Load Spatial Distribution Optimization Software V1.0 (Rank 1/3), 2016SR103207, Software Copyright Registration.

2. Power Economic Environmental Load Dispatch Software V1.0 (Rank 1/3), 2016SR103200, Software Copyright Registration.

3. Distributed Generation Siting, Sizing, and Power Flow Calculation Software V1.0 (Rank 2/4), 2016SRBJ0652, Software Copyright Registration.

Others (Professional Services, etc.):

1. 2023–Present: IEEE/IET Member.

2. 2024–Present: Associate Editor,Protection and Control of Modern Power Systems.

3. 2025–Present: Associate Editor,IET Renewable Power Generation.

4. 2025–Present: Member, Japan JSPS Chinese Alumni Association.

5. Session Chair, IEEE 2nd International Symposium on the Application of Artificial Intelligence in Electrical Engineering (AAIEE 2026).

6. Session Chair, IEEE 9th International Electrical and Energy Conference (CIEEC 2026).

7. Session Chair, IEEE 2nd International Conference on Power and Integrated Energy Systems (ICPIES 2026).