Projects per year
Personal profile
Research profile
Shuai Zhao (M'19-SM'24) received the B.S., M.S., Ph.D. degrees in electronic and information engineering from Northwestern Polytechnical University, Xi'an, China, in 2011, 2014, 2018, respectively. He was a Visiting Researcher with the University of Toronto, Canada, from 2014 to 2016, and with the University of Texas-Dallas, USA, in 2018. From 2018 to 2022, he was a Postdoc with AAU Energy, Aalborg University, Denmark, where he is currently an Assistant Professor.
He has been focusing on artificial intelligence and system informatics in power electronics, particularly in physics-informed machine learning, digital twin, condition & health monitoring, and reliability engineering. He has published more than 80 technical papers, with his paper on AI applications in power electronics being highly cited with over 80,000 downloads. Dr. Zhao currently serves as an Associate Editor of IEEE Transactions on Vehicle Technology and e-Prime Elsevier. He was a Guest Editor for IEEE Journal of Emerging and Selected Topics in Industrial Electronics. He leads multiple research projects including the Villum Experiment grant and European Horizon Marie Skłodowska-Curie Actions project on physics-informed AI applications in power electronics. Dr. Zhao has delivered more than 20 invited tutorials and seminars at IEEE conferences/workshops and universities worldwide.
Teaching profile
- Ph.D. course “Artificial intelligence and advanced data analytics in power electronics”, 3 ECTS, since 2022.
- Ph.D. course “Reliability in power electronics systems”, 4 ECTS, since 2020.
- Master course "Machine learning and condition monitoring", since 2024.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph.D., Northwestern Polytechnical University Xian
Award Date: 1 Dec 2018
External positions
Associate Editor of IEEE TVT, IEEE
Keywords
- Electronics
- Communication and Informatics
- Computer Science
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Collaborations from the last five years
Dive into details by clicking on the dots.
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Phy-caliper: Discovering Unknown Physics for Calibrating Predictive Maintenance in Power Electronics
Zhao, S. (PI) & Frøstrup, S. (Project Coordinator)
01/01/2025 → 31/12/2026
Project: Research
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TEAMING: e‐powerTrain prEdictive mAintenance using physics inforMed learnING
Zhao, S. (PI), Wang, H. (Project Participant), Blaabjerg, F. (Project Participant), Sangwongwanich, A. (Project Participant), Bahman, A. S. (Project Participant) & Frøstrup, S. (Project Coordinator)
01/01/2024 → 31/12/2027
Project: Research
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ALL2GaN: Affordable smart GaN IC solutions as enabler of greener applications
Iannuzzo, F. (PI), Bahman, A. S. (Project Participant), Novak, M. (Project Participant), Sangwongwanich, A. (Project Participant), Zhao, S. (Project Participant) & Frøstrup, S. (Project Coordinator)
Horizon - Chips Joint Undertaking
01/05/2023 → 30/04/2026
Project: Research
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AI-Power: Artificial Intelligence for Next-Generation Power Electronics
Blaabjerg, F. (PI), Wang, H. (CoPI), Sahoo, S. (Project Participant), Zhao, S. (Project Participant), Zhang, Y. (Project Participant), Novak, M. (Project Participant) & Frøstrup, S. (Project Coordinator)
01/09/2022 → 31/08/2027
Project: Research
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Non-invasive Condition Monitoring of Traction Inverters
Wang, H. (PI), Peng, Y. (Project Participant) & Zhao, S. (Project Participant)
01/08/2020 → 01/08/2022
Project: Research
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An overview of artificial intelligence applications for power electronics
Zhao, S., Blaabjerg, F. & Wang, H., Apr 2021, In: IEEE Transactions on Power Electronics . 36, 4, p. 4633-4658 26 p., 9200511.Research output: Contribution to journal › Review article › peer-review
Open AccessFile512 Citations (Scopus)5699 Downloads (Pure) -
Generative Physics Informed Machine Learning Method for DC-Link Capacitance Estimation
Qie, T., Zhang, X., Xiang, C., Zhao, S., Jiang, C., Iu, H. H. C. & Fernando, T., 2025, (Accepted/In press) In: IEEE Transactions on Industrial Electronics.Research output: Contribution to journal › Journal article › Research › peer-review
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A Robust Data-driven Fault Detection Framework for Traction Dual Rectifiers
Deng, Q., Zhao, S., Gou, B., Ge, X., Feng, X. & Wang, H., 20 May 2024, 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia). IEEE (Institute of Electrical and Electronics Engineers), p. 4481-4486 6 p. 10567256Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
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Artificial intelligence–assisted data-driven control of power electronics systems
Zhao, S., Blaabjerg, F. & Wang, H., 1 Jan 2024, Control of Power Electronic Converters and Systems: Volume 4. Elsevier Editora, Vol. 4. p. 219-239 21 p.Research output: Contribution to book/anthology/report/conference proceeding › Book chapter › Research › peer-review
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Artificial-Intelligence-Enabled Lifetime Estimation of Photovoltaic Systems Considering the Mission Profile of the DC-AC Inverter
Oviedo, S., Davari, M., Zhao, S. & Blaabjerg, F., 2024, SoutheastCon 2024. IEEE Signal Processing Society, p. 598-603 6 p. (Conference Proceedings - IEEE SOUTHEASTCON).Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review
1 Citation (Scopus)
Activities
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IEEE (External organisation)
Zhao, S. (Member)
1 Jun 2024Activity: Memberships › Membership of committees, commissions, boards, councils, associations, organisations, or similar
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Tutorial: Artificial Intelligence-assisted Applications in Power Electronics
Wang, H. (Lecturer), Zhang, Y. (Lecturer) & Zhao, S. (Lecturer)
17 May 2024Activity: Talks and presentations › Conference presentations
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IEEE Transactions on Vehicular Technology (Journal)
Zhao, S. (Editor)
Sept 2023Activity: Editorial work and peer review › Journal editor › Research