Forskningsprofil

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. He received the AAAI/IAAI Deployed application award in 2026, Top Paper Award of IEEE Power Electronics Magazine in 2025, and the Second Place Prize Paper Award of IEEE Transactions on Power Electronics in 2024. Dr. Zhao currently serves as an Associate Editor of IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Transactions on Industry Applications, and IEEE Transactions on Vehicle Technology. 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.

Undervisningsprofil

• 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.
• Master course "AI for Energy Systems", since 2025.