Junnan Yang, an Associate Research Fellow, graduated from Zhejiang University with a bachelor's and master's degree in Mechatronics, and obtained a Ph.D. in Electronic Engineering from the University of Technology Sydney. He served as a postdoctoral researcher at the University of Technology Sydney (2019.11-2022.6) and La Trobe University in Melbourne (2022.7-2024.5). He has published multiple papers in highly influential top-tier journals such as IEEE Transactions on Wireless Communication and IEEE Transactions on Cognitive Communication, with over 200 citations. As a major participant, he was responsible for several Australian government natural fund projects and the Laurent Fellowship project, including research tasks on UAV swarm security and privacy protection, the integration of blockchain and federated learning, and the trusted AI architecture design for 6G networks. Currently, his research focuses on the design of multi-layer federated learning network structures and robust aggregation algorithms for explainable artificial intelligence, as well as the security and privacy research of intelligent civil aviation systems. His research interests encompass the fields of 6G networks, intelligent transportation, intelligent civil aviation, cybersecurity, and artificial intelligence.