This topic focuses on the challenges of information sensing and processing in dynamic and complex environments, exploring issues related to high-adversity and strong-interference information sensing and processing in nonlinear dynamic settings. It seeks end-to-end technical solutions ranging from multimodal sensing and reliable data transmission to cognitive computing and edge intelligence. Centered on the four interconnected pillars of "sensing, transmission, computing, and cognition," the topic promotes in-depth discussions on data fusion, real-time situational awareness, distributed architectures, and human-machine interaction. By breaking traditional disciplinary boundaries, it aims to accelerate the transformation of theoretical research into practical solutions for key fields such as ocean engineering, aerospace, intelligent driving, and non-invasive medical diagnostics.

Related topics:
• Covert communication in cognitive satellite aerial terrestrial integrated networks;
• Underwater information sensing and processing;
• Underwater acoustic communication;
• Underwater networks;
• Signal enhancement and analysis;
• Intelligent Digital Chips and Systems;
• Radar informatiom processing;
• UAV detection and tracking;
• Wireless communication;

The manuscript should be submitted via the submission link (http://www.easychair.org/conferences/?conf=icsip2026), or to  icsip2016@vip.163.com before the submission deadline (April 5, 2026).

Special Session Chairs:

Prof. Chao LI, the Institute of Acoustics of the Chinese Academy of Sciences, China

Professor Li Chao graduated from the University of Burgundy Europe, France. In 2017, he was selected for the Chinese Academy of Sciences' "Hundred Talents Program" and joined the Institute of Acoustics of the Chinese Academy of Sciences. He currently serves as a Professor and Ph.D. Supervisor, and has long been engaged in research in the field of underwater acoustic signal processing. He has published 50 SCI/EI papers and one academic book in English, been granted three national patents, and won a national technological invention award. He has led eight provincial/ministerial-level or higher projects/phases, with cumulative funding of 14.7493 million yuan. He serves as the Chief Designer for the National Major Special Project on Ocean Engineering and has participated in 13 projects, including national major special projects and key national research and development programs. He has organized and participated in 12 major ocean scientific expeditions, serving as Chief Scientist/Commander in nine of them. He established an international scientific research and talent joint training program, which received funding from the China Scholarship Council and the "Future Partners" Program of the Bureau of International Cooperation, Chinese Academy of Sciences.

Prof. Yougan CHEN, Xiamen University, China

Dr. Chen has received the B.S. degree from Northwestern Polytechnical University (NPU), Xi’an, China, in 2007, and the Ph.D. degree from Xiamen University (XMU), Xiamen, China, in 2012, all in communication engineering. He visited the Department of Electrical and Computer Engineering, University of Connecticut (UCONN), Storrs, CT, USA, from November 2010 to November 2012. Since 2013, he has been with the College of Ocean and Earth Sciences, XMU, where he is currently a Full Professor of applied marine physics and engineering. He has authored or coauthored more than 100 peer-reviewed journal articles/conference papers and holds more than 40 China patents. His research interest includes the application of electrical and electronics engineering to the oceanic environments, with recent focus on cooperative communication and artificial intelligence for underwater acoustic channels. Dr. Chen has served as the Secretary for IEEE ICSPCC 2017 and the TPC Member for IEEE ICSPCC 2019-2025. He received the Technological Invention Award of Fujian Province, China, in 2017. He has served as the Technical Reviewer for many journals and conferences, such as IEEE Journal of Oceanic Engineering, IEEE Transactions on Communications, IEEE Access, Sensors, IET Communications, and ACM WUWNet Conference. He has been serving as an Associate Editor for IEEE Access, since 2019, the Editorial Board Member for the Journal of Electronics and Information Technology, since 2021, and the Editorial Board Member for the Journal of Signal Processing, since 2022.

Dr. Hailun CHU, Ocean University of China, China

Dr. Hailun Chu holds a PhD in Signal and Information Processing from the University of Chinese Academy of Sciences and currently serves as a Lecturer at Ocean University of China. His primary research focuses on the interdisciplinary study of underwater acoustic signal processing and machine learning, encompassing underwater acoustic signal detection, signal enhancement, noise suppression, and target detection in low signal-to-noise ratio environments. He has led and participated in two projects funded by the Shandong Provincial Natural Science Foundation and one project supported by the National Key Laboratory Fund.

Dr. Zili QIN, the Institute of Acoustics of the Chinese Academy of Sciences, China

Dr. Qin, male, PhD in Signal and Information Processing, Institute of Acoustics, University of Chinese Academy of Sciences. His research primarily focuses on the interdisciplinary field of underwater acoustic signal processing and machine learning, concentrating on underwater acoustic signal detection, noise suppression, active detection, and image pattern recognition within complex marine environments.