Special Session: RIS, IoT, AI Methods, and Applications in Reliable and Covert Communication, Signal Processing of Image Recognition, Health Diagnosis, etc

With the rapid development and cross-integration of the Internet of Things (IoT) and  artificial intelligence (AI) technologies, IoT can integrate monitored entities, wireless communication,  AI, signal processing, and health status assessment into an intelligent network system.  Therefore, advanced IoT, RIS, MIMO and AI technologies are widely used in the fields of unmanned platform, structure, power  system,  and  intelligent  medical,  such  as  IoT  network  protocols,  RIS and  MIMO based wireless communication  security,  intelligent  signal processing  of terminal-cloud-edge  collaboration,  unknown   class  recognition  in  small  sample  scenarios,  AI  image  processing and intelligent medical system, and other applications.  This special session focuses on the methods and applications of IoT, RIS, MIMO and AI in reliable and covert Communication, signal processing of Image recognition, Health Diagnosis, etc,  shares  new  ideas  and  achievements,  and  discusses  the  current challenges and possible solutions in these fields with relevant experts, scholars, and engineers around the world.

Related topics:

  1. RIS, MIMO and AI Methods in Reliable and Covert Communication
  2. Intelligent  networking  methods   such  as  distributed  resource  allocation  and routing for IoT
  3. Intelligent anti-interference method based on deep learning for Adhoc network
  4. Advanced Edge Computing Approaches for IoT
  5. AI-based recognition method for unknown classes in small-sample scenes
  6. Intelligent patrol of terminal-cloud-edge collaboration in the power system
  7. Application of advanced IoT and AI technology in smart power grid
  8. Application of large language model in intelligent medical system
  9. Application of intelligent image recognition in power system, structural diagnosis system, automatic driving system, and intelligent medical system

This topic focuses on various wireless communication technologies and signal processing technologies related to IoT and artificial intelligence for industrial applications such as unmanned platforms, intelligent power, intelligent medical, intelligent fault diagnosis, etc. This topic not only focuses on the novelty of the relevant technical methods in these application areas, but also focuses on the practicability and value of the application of the relevant methods in the industrial field. Therefore, it is necessary to construct a special topic to provide a platform for scholars and engineers to explore theoretical methods and engineering applications in these specialized fields, and to promote the industrial application of advanced theoretical methods.

Submission Deadline: June 10, 2024
Notification: July 05, 2024
Registration: July 20, 2024
Submit Method:
1, submit it via the link: http://confsys.iconf.org/submission/icicsp24 (after entering the link, click on the corresponding topic)
2, send your manuscript to icicsp@vip.163.com with subject "Submit+Special Session-6+Paper Title". (请通过邮件发送稿件,邮件题目:Submit+Special Session-6+Paper Title)


Haitao Xiao is an associate professor and doctoral supervisor at the School of Information and Communication Engineering, Xi 'an Jiaotong University, and a visiting researcher at Waseda University. He received the Ph.D. degree from Waseda University, Japan. He was selected into the "Overseas Talent Introduction Project of the International Exchange Program" of the Ministry of Social Security of China in 2018, and won the winning award of the "Source Creation Cup" Innovation and Creativity Competition of JKW in 2022. He is committed to the research of intelligent wireless communication and data computing fields such as smart antennas, intelligent mobile Ad hoc networks, intelligent reliable communications, satellite signal processing and positioning, intelligent fault diagnosis and damage diagnosis.

Limeng Dong was born in Xi’an China. He received the bachelor’s, master’s, and Ph.D. degrees from the School of Electronics and Information, Northwestern Polytechnical University, Xi’an, China, in 2012, 2015, and 2019, respectively. From 2015 to 2017, he was a Visiting Ph.D Student with the School of Elec trical Engineering and Computer Science, University of Ottawa, ON, Canada. From 2019 to 2021, he was a Postdoctoral Researcher with the Ministry of Educa tion Key Lab for Intelligent Networks and Network Security, School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China. He is currently an Asso ciate Professor with the School of Electronics and Information, Northwestern Polytechnical University. His research interests include physical layer security of MISO, MIMO, cognitive radio, cell-free communications and reconfigurable intelligent surface aided wireless communications.

Di Zhang currently is an Associate Professor at Zhengzhou University, he is also a Visiting Scholar of Korea University. He is serving as an area editor of KSII Transactions on Internet and Information Systems, has served as the guest editor of IEEE Wireless Communications and IEEE Network. He received the First Prize Award for Science and Technology Progress of Henan Province in 2023, the First Prize Award for Science and Technology Achievements from Henan Department of Education in 2023, and the ITU Young Author Recognition in 2019. His research interests are the wireless communications and networking, especially the short packet communications and its applications.

Jinxiong Zhao is currently the Deputy Director of Digitalization and Communication Technology Institute of State Grid (Gansu Electric Power Company) Electric Power Science Research Institute. Served as an enterprise lecturer at the National Confidentiality College of Northwestern Polytechnical University and a researcher at the National and Local Joint Engineering Laboratory of New Networks and Detection Control. In 2019, was selected as the preferred expert in the "Longdian Youth Lecturer Team". In 2022, was awarded the title of Outstanding Science and Technology Worker in Lanzhou City, selected as a Youth Science and Technology Support Talent in Gansu Province, standing member of the 13th Committee of the Lanzhou Youth Federation, and member of the 11th Committee of Gansu Youth Federation in 2023.His research interests include AI technology in smart power grid, intelligent communication, signal processing, et..

Harutoshi Ogai is a Professor of Information, Production, and Systems with Waseda University. He was born in Kitakyushu, Japan, and acquired the Ph.D. degree from Tokyo Institute of Technology. He was the director of the Automated Driving Joint Research Center of the Kitakyushu Industry-university-research Cooperation Association and Waseda University. His research interests include Process Control, Process Modeling and Simulation, Process Analysis and Data Mining, signal process, Automatic Control, and Bridge Diagnosis.


Yutian Wu received the B.E. degree in computer science and software engineering from Southeast University, China, in 2017, the M.E. and Ph.D. degree from Waseda University, Japan, in 2018 and 2022. She has published more than tens of academic papers in important academic journals and conference. Since 2023, she has been a lecturer at School of Automation and Electrical Engineering, University of Science and Technology Beijing, China. She has presided over the scientific research program supported by Youth Program of National Natural Science Foundation of China, and is mainly engaged in theory of deep learning, computer vision and application of 3D scene understanding in autonomous driving system.