Dr. Fanfan Lin | Electrical Engineering | Young Scientist Award
Zhejiang University | China
Dr. Fanfan Lin is an accomplished researcher in electrical engineering whose academic and professional journey reflects a blend of technical expertise, international collaboration, and entrepreneurial leadership. She earned her joint Ph.D. in Power Engineering from Nanyang Technological University, Singapore, and the Technical University of Denmark, Copenhagen , supported by a four-year interdisciplinary research scholarship, with her doctoral thesis focusing on the dual active bridge converter design with artificial intelligence. Earlier, she completed her B.E. in Electrical Engineering and B.A. in English Language and Literature at Harbin Institute of Technology, China , and further enriched her academic background through an exchange program at Peter the Great St. Petersburg Polytechnic University, Russia. Professionally, Dr. Lin currently serves as a Postdoctoral Research Fellow and Assistant Professor at the Zhejiang University–University of Illinois Urbana-Champaign Institute, where she leads projects funded by the China Postdoctoral Science Foundation, the National Natural Science Foundation of China (Young Scientists Fund), and the Intellectual Property Fund of Zhejiang University. Her research interests center on power electronics design integrated with artificial intelligence and responsible AI for power systems, and her skills span advanced converter modeling, physics-informed machine learning, system optimization, and interdisciplinary innovation. Dr. Lin has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics, with several ESI highly cited papers and over 800 citations. She has been recognized with prestigious awards including the IEEE Industry Applications Society Prize Paper Award, NTU Graduate College Innovation and Entrepreneurship Award, and Geneva Inventions Silver Award, alongside multiple entrepreneurial and social impact recognitions. With her strong foundation in education, research, innovation, and global collaboration, Dr. Lin is highly deserving of the Young Scientist Award, as her expertise and leadership potential are set to significantly advance the future of power electronics and artificial intelligence in sustainable energy systems.
Featured Publications
Li, X., Lin, F., Rodríguez-Andina, J. J., Guerrero, J. M., Mantooth, H. A., & Ma, H. (2025). NeurPecs: Physics-informed AI-based adaptive circuit simulator for power converters. IEEE Transactions on Industrial Electronics. Advance online publication.
Dai, X., Zhou, R., Zhang, J., He, K., Lin, F., & Ma, H. (2025). SocNet: A physics-guided neural network for battery state-of-charge estimation robust to temperature variations and sensor noises. IEEE Transactions on Transportation Electrification. Advance online publication.
Lin, F., Li, X., Lei, W., Rodríguez-Andina, J. J., Guerrero, J. M., Wen, C., Zhang, X., & Ma, H. (2025, April). PE-GPT: A new paradigm for power electronics design. IEEE Transactions on Industrial Electronics. Advance online publication.
Li, X., Lin, F., Sun, C., Zhang, X., Ma, H., Wen, C., Blaabjerg, F., & Mantooth, H. A. (2025, February). A generic modeling approach for dual-active-bridge converter family via topology transferrable networks. IEEE Transactions on Industrial Electronics. Advance online publication.
Li, X., Lin, F., Wang, H., Zhang, X., Ma, H., Wen, C., & Blaabjerg, F. (2024). Temporal modeling for power converters with physics-in-architecture recurrent neural network. IEEE Transactions on Industrial Electronics. Advance online publication.