计算、通信、感知、量子技术国际会议将于2022年8月5日-7日在福建厦门召开，诚挚邀请大家投稿至workshop 23：Information Theory, Coding, Security and Intelligence Architecture of Networks for Space, Air, Ground and Sea Applications ，投稿截止日期为2022年5月20日。请将投稿主题命名为： ”paper title_workshop 23”然后将文章投至ccpqt_paper@126.com。高质量的录用稿件将被推荐到SCI期刊发表。

【IEEE/CPS】 

Workshop 23：Information Theory, Coding, Security and Intelligence Architecture of Networks for Space, Air, Ground and Sea Applications 

Summary：

The purposes are to investigate the fundamental subjects in space, air, ground and sea networks and their integrated versions such as space-air-ground integrated network (SAGIN) and space-air-ground-sea integrated network (SAGSIN), including but not limited to the following topics: Network architecture; Network performance analysis based on stochastic geometry; Security defense technology; Network protocols; Space optical communication technology; Satellite mobile communications technology; Ships communication technology; Wireless communications; Unmanned aerial vehicle；Information Theory and Coding; Signal processing; Physical layer security; Artificial intelligence; Network Applications.

Keywords：

Networks for Space-Air-Ground-Sea, Optical and Wireless communications, Stochastic Geometry, Information Theory, Signal Processing, AI.

Chair： Jinchuan Tang (汤金川)

Guizhou University

Dr Jinchuan Tang obtained his PhD in Engineering Science from Oxford University. He is working as a full professor in big data and computer science at Guizhou University. There, he supervises 12+ MRes and PhD students. He is an external reviewer for Master and PhD candidates’ theses in areas such as computer science and wireless communications for many top universities in China. He is a review editor at Frontiers in Signal Processing, a reviewer of many IEEE/IET journals, and a member of IEEE Communications society as well as Computer Society. He also teaches courses in Big Data, Internet of Things (IoT), and Convex Optimization at Guizhou University. He is interested in topics including generative adversarial networks (GANs), deep neural networks (DNNs), privacy protection, federated learning, metaverse, blockchain, big data, information theory and coding, wireless communications, D2D communications, UAV communications, signal processing, stochastic geometry, physical layer security, parallel computing

Co-chair： Long Zhang

Pengcheng Laboratory

Long Zhang received the doctoral degree in Engineering Science from the University of Oxford in 2019. He is currently a research assistant professor in Pengcheng Laboratory and was selected into Peacock Program for Overseas High-Level Talents Introduction in Shenzhen. He is the author or coauthor of 20 papers. He has served as reviewer in international academic journals, including: IEEE/OSA Journal of Lightwave Technology, Optical Express, Applied Optics, IEEE Photonics Journal. His research interests include wireless communication, free-space optical wireless communication, Lidar and digital signal processing.