Dong Xuzhu is the dean, second level professor, and doctoral supervisor of the School of Electrical and Automation at Wuhan University. He has in-depth research in the fields of smart grid, high voltage technology, equipment condition assessment, and digital substation technology.

Cai Li, Professor, focusing on researching lightning physics and protection. He has served as secretary general of the fourth International Symposium on Electrical Insulation and Discharge Calculation in Power Equipment, a member of the WG C4.57 working group of the International Council on Large Electric Systems, a member of IEEE PES Substation Satellite Committee -China.

Yi Liu is a Professor at School of Electrical and Electronics Engineering (SEEE) in Huazhong University of Science and Technology (HUST). He was an Academic Visitor at Loughborough University, UK. His research spans pulsed power, and high voltage and insulation technology.

Guodong Meng, professor at Xi'an Jiaotong University, leader of the " Insulation and Discharge for Micro&nano Scale" Youth Innovation Team. His research interests are electrical insulation theory and application, advanced sensing and power equipment condition monitoring technology.

Changbin Hu, Professor, Doctoral Supervisor, Special Session Chair of EENES2024, Director of Experimental Center of School of Electrical and Control Engineering, Member of the distributed Energy Committee of the Chinese Society of Automation, member of the Standardization Technical Committee of the National Ocean Energy Conversion Equipment, member of the IEEE PES DC transmission and distribution System Simulation Technology Sub-committee, member of the IEEE PES Distribution Sub-Committee in China.

Wanjun Huang is now an associate professor with the School of Automation Science and Electrical Engineering, Beihang University, China, and an associate researcher with the Shenzhen Institute of Beihang University, China. Her research interests include voltage stability, optimal power flow, distribution network reconfiguration, and the application of machine learning in power systems.