第十六届IEEE云计算技术与科学国际会议落幕

Core Insights - The 16th IEEE Cloud Computing Technology and Science International Conference (CloudCom2025) was recently held in Shenzhen, hosted by Shenzhen North University of Moscow, attracting over 200 top scholars, academicians, and industry experts to discuss advancements in cloud computing, edge computing, big data, and security privacy [1][2] Group 1: Key Presentations - Professor Abdallah Shami from Western University, Canada, delivered a keynote on "Automated Network Intelligence: Driving 5G and Future Development," emphasizing the critical role of artificial intelligence in the evolution of 5G and future networks [1] - Professor Xu Ke from Tsinghua University presented on "Secure Internet Architecture and Key Technologies," sharing forward-looking ideas for building safer and more reliable network architectures [1] - Academician Gong Jianya from Wuhan University discussed "Challenges and Thoughts on Intelligent Interpretation of Remote Sensing," highlighting the application and development trends of remote sensing technology in intelligent interpretation [1] - Academician Weihua Zhuang from the University of Waterloo focused on "6G Intelligent Network Management," exploring new opportunities and challenges in network management in the 6G era [1] Group 2: Additional Expert Contributions - The conference featured presentations from experts such as Professor Li Nan from the National University of Defense Technology, Professor Duan Lingjie from Hong Kong University of Science and Technology (Guangzhou), Professor Chen Jiachao from Sun Yat-sen University, and Professor Xu Ruifeng from Harbin Institute of Technology (Shenzhen), covering topics like 6G semantic communication, human-machine feedback learning, and AI applications in Web3 finance [2] - Over the three-day conference, multiple parallel sessions were held, addressing popular fields such as cloud scheduling optimization, federated edge learning, 5G and AI security, intelligent IoT, and large language models, discussing specific technical issues like emotion recognition, drone resource allocation, digital twins, and task offloading [2]