TPC Chair
Singapore University of Technology and Design, Singapore
With the rapid evolution of sixth-generation (6G) and beyond wireless systems, future networks are expected to provide ubiquitous connectivity and integrated sensing, localization, and navigation services across spaceborne, aerial, terrestrial, maritime, and underwater environments. Space-air-ground-ocean integrated networks (SAGOINs), which incorporate terrestrial infrastructures, unmanned aerial vehicles, high-altitude platforms, satellite networks, and underwater/maritime communication nodes into a unified framework, have emerged as a promising architecture for future wireless systems. Owing to their broad coverage, flexible deployment, heterogeneous resource availability, and multi-layer networking capabilities, SAGOINs are widely regarded as a key enabler for next-generation intelligent communication and sensing services.
Despite these advantages, SAGOINs introduce substantial challenges for signal processing and system design. The network is inherently heterogeneous and highly dynamic, with nodes across terrestrial, aerial, spaceborne, maritime, and underwater domains exhibiting distinct mobility patterns, propagation characteristics, coverage conditions, hardware constraints, and service capabilities. In particular, aerial and spaceborne platforms may induce fast time-varying channels, large Doppler shifts, frequent beam switching, and non-stationary propagation environments, while maritime and underwater domains further exacerbate attenuation, scattering, and channel uncertainty. Meanwhile, future SAGOINs are expected to support multiple functionalities, including communication, sensing, localization, navigation, computing, and potentially wireless power transfer. These requirements call for accurate, robust, and low-complexity signal processing techniques to ensure reliable system operation.
Array signal processing and signal parameter estimation provide fundamental tools for addressing these challenges. Key signal parameters, such as direction of arrival/departure, time delay, Doppler frequency, angle-delay-Doppler characteristics, channel state information, user location, and mobility-related parameters, play a central role in beamforming, beam tracking, channel estimation, localization, integrated sensing and communications, and network-level coordination. Advanced techniques, including high-resolution direction finding, adaptive and robust beamforming, wideband and near-field array processing, sparse and gridless estimation, Bayesian inference, distributed estimation, tracking, and learning-assisted signal processing, can significantly improve the performance of SAGOIN-based wireless systems.
However, existing studies often focus on isolated links, simplified channel models, single-function system designs, or quasi-static deployment scenarios. The joint consideration of heterogeneous network architectures, highly dynamic propagation environments, multi-dimensional parameter estimation, multi-node cooperation, limited onboard or edge processing resources, and cross-layer network coordination remains insufficiently explored. Moreover, the coupling among communication, sensing, localization, and computation in SAGOINs raises new challenges in waveform design, transceiver optimization, resource allocation, synchronization, interference management, and real-time implementation.
Against this background, this workshop aims to provide a focused forum for researchers and practitioners to exchange recent advances, identify open challenges, and discuss future research directions in advanced array signal processing and parameter estimation for SAGOINs. The workshop will emphasize both fundamental theories and practical applications, including robust estimation under dynamic propagation environments, angle-delay-Doppler domain signal processing, beamforming and beam tracking, distributed and cooperative sensing, integrated sensing and communications, and AI-enhanced signal processing for future wireless networks. By bringing together researchers from signal processing, wireless communications, satellite and aerial networks, radar sensing, localization, and machine learning communities, the workshop is expected to promote interdisciplinary collaboration and contribute to the development of intelligent, reliable, and high-performance 6G SAGOIN systems. We solicit high-quality original research papers on topics including, but not limited to:
Xinlei Shi (IEEE Member) received the Ph.D. degree from Nanjing University of Aeronautics and Astronautics, China, in September 2025. From 2024 to 2025, he has conducted a Visiting Research at the Future Communication Program, Singapore University of Technology and Design, Singapore. Since 2026, he has been an Associate Professor at Nantong University, China. He has served as Principal Investigator for one research project funded by the Laboratory for Microwave Spatial Intelligence and Cloud Platform. His research interests include source localization, array signal processing, and DOA estimation. He is serving as a reviewer for internationally renowned journals and conferences, including IEEE JSTSP, IEEE TCOM, IEEE Sensors Journal, IEEE TCSII, EUSIPCO, IEEE GlobeCom, et al.
Jiajun He (IEEE Member) received the Ph.D. degree from The City University of Hong Kong, Hong Kong SAR, China, in 2024. Since June 2024, he has been a Research Fellow at Queen's University Belfast (QUB), Belfast, U.K. He was the recipient of the Marie Curie Postdoctoral Fellowship from the European Union in 2025. He is serving as an Editor for IEEE Trans. Communication, Physical Communication (Elsevier), and Digital Signal Processing (Elsevier). At QUB, he is currently working on the physical implementation of CF-mMIMO ISAC prototypes under the UK EPSRC TITAN. He has served as Principal Investigator (PI) for two research projects funded by HK Tech 300 and HKSTP. He also served as Delivery Lead for a Northern Ireland (NI) Proof-of-Concept project focused on the commercialization of the ISAC prototype. His research interests include source localization, radar signal processing, cell-free massive MIMO, embedded system design, and machine learning.
Hing Cheung So (IEEE Fellow) was born in Hong Kong. He received the B.Eng. degree from the City University of Hong Kong and the Ph.D. degree from The Chinese University of Hong Kong, both in electronic engineering, in 1990 and 1995, respectively. From 1990 to 1991, he was an Electronic Engineer with the Research and Development Division, Everex Systems Engineering Ltd., Hong Kong. During 1995–1996, he was a Postdoctoral Fellow with The Chinese University of Hong Kong. From 1996 to 1999, he was a Research Assistant Professor with the Department of Electronic Engineering, City University of Hong Kong, where he is currently a Professor. His research interests include detection and estimation, fast and adaptive algorithms, multidimensional harmonic retrieval, robust signal processing, source localization, and sparse approximation. He has been on the editorial boards of IEEE Signal Processing Magazine (2014–2017), IEEE Transactions on Signal Processing (2010–2014), Signal Processing (2010–), and Digital Signal Processing (2011–). He was also Lead Guest Editor for IEEE Journal of Selected Topics in Signal Processing, special issue on "Advances in Time/Frequency Modulated Array Signal Processing" in 2017. In addition, he was an elected member in Signal Processing Theory and Methods Technical Committee (2011–2016) of the IEEE Signal Processing Society where he was chair in the awards subcommittee (2015–2016).
Li You (IEEE Senior Member) received the B.E. and M.E. degrees from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2009 and 2012, respectively, and the Ph.D. degree from Southeast University, Nanjing, in 2016, all in electrical engineering. From 2014 to 2015, he has conducted a Visiting Research at the Center for Pervasive Communications and Computing, University of California Irvine, Irvine, CA, USA. Since 2016, he has been with the Faculty of the National Mobile Communications Research Laboratory, Southeast University, where he is currently a Full Professor. His research interests lie in the general areas of communications, signal processing, and information theory, with the current emphasis on massive MIMO communications. Dr. You received the National Excellent Doctoral Dissertation Award from the China Institute of Communications (CIC) in 2017, the Young Elite Scientists Sponsorship Program (2019-2021) by the China Association for Science and Technology (CAST), the URSI Young Scientist Award in 2021, the National Natural Science Foundation of China for Outstanding Young Scholars in 2023, and the First Prize of Science and Technology Award of China Institute of Communications in Year 2023. He served as the Signal Processing for Communications Symposium Co-Chair for IEEE Globecom 2026 and the Wireless Communications Symposium Co-Chair for IEEE ICC 2023. He is currently on the editorial board of IEEE Signal Processing Letters.
Chuang Zhang (IEEE Member) received the B.S. and Ph.D. degrees from Jilin University, China, in 2021 and 2026, respectively. He was a Visiting Ph.D. Student at the Singapore University of Technology and Design from 2024-2025. He also contributed to the development of Aqua-Psim, a semi-physical simulation testbed for underwater acoustic networks based on NS-3, which has evolved into a de facto standard for experimental evaluation in underwater acoustic networking. He is currently a Post-Doctoral Research Fellow with the College of Computer Science and Technology, Jilin University. His research interests include array-based beamforming optimization, secure communications, AI for low-altitude wireless networks. He has served as a reviewer for IEEE TMC, IEEE TWC, IEEE TCOM, IEEE JSTSP, IEEE ComMag, IEEE TNSE, IEEE IoT-J, IEEE OJ-COMS, IEEE TNSM, EAAI, IEEE TCYB, and IEEE TVT.
Xin Lai (IEEE Member) received the B.S. and Ph.D. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2020 and 2026. He is currently with Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology (HKUST), as a post-doctoral research fellow. His research interests include array signal processing, MIMO radar, reconfigurable intelligent meta-surface, and polar code.
Marie Siew (IEEE Member) is currently a Faculty Early Career Award (FECA) Fellow/Lecturer at the Singapore University of Technology and Design. She was a post-doctoral researcher in the department of Electrical and Computer Engineering department, Carnegie Mellon University from 2021-2023. She received the B.Sc. degree in Mathematical Sciences from Nanyang Technological University (NTU), Singapore in 2016, and the Ph.D. degree from the Singapore University of Technology and Design (SUTD) in 2021. Her research interests are in the areas of edge computing, network economics, federated learning, wireless network optimization, and LLM agent optimization. Dr Siew received the Best Poster Awards at IEEE ICDCS 2024 and ACM/IEEE IPSN 2023, the Early Career Award 2024 and the SUTD Presidential Postdoctoral Fellowship 2024, both under the Singapore MOE START Scheme. She received the A*Star Computing and Information Science Scholarship (2019-2020)/ A*Star Graduate Scholarship (2017-2019), the A*Star Undergraduate Scholarship (2012-2016) from the Agency for Science, Technology and Research Singapore, and was in the NTU CN Yang Scholars' Programme from 2012 to 2016.
Xudong Dong (IEEE Member) received the M.S. degree in applied mathematics from the Guilin University of Electronic Technology, Guilin, China, in 2020, and the Ph.D. degree in communication and information systems with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2024. He is currently working at Hangzhou Dianzi University. His research interests include target detection and tracking, array signal processing, deep learning, signal classification, and impulsive noise. He is serving as the Session Chair of the 13th International Conference on Information and Communication Networks (ICICN 2025) and the 3rd International Conference on Networks, Communications and Intelligent Computing (NCIC 2025), Youth Editorial Board Member of the core journal Telecommunications Science, Reviewing Editor of Springer Nature Editorial Academy, and a reviewer for internationally renowned journals including IEEE SPL, IEEE TVT, IEEE TIM, IEEE CL, IEEE WCL, IEEE TWC and IEEE TSP.
Xiaoyu Wang (IEEE Member) received the B.S. degree from Jilin University, Changchun, China, in 2015, the M.S. degree from Harbin Engineering University, Harbin, China, in 2018, and the Ph.D. degree from Jilin University, Changchun, China, in 2024. She is currently a Lecturer at the College of Engineering, Ocean University of China, Qingdao, China. Her research interests include active sonar detection, array signal processing, and underwater acoustic communications. She has received the Second Prize of Shandong Provincial Award for Technological Invention. She has served as Principal Investigator for projects funded by the Shandong Provincial Natural Science Foundation (Youth Program), the Science and Technology on Underwater Acoustic Laboratory, and a key cultivation project under the national defence basic strengthening program. She also serves as a reviewer for internationally renowned journals including IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, and Neurocomputing.
Submission details refer to the ICAIT 2026 website: https://www.icait.org/submission.html