The spatial web is a key paradigm of the future internet in which physical spaces, devices, people, and artificial intelligence (AI) agents are tightly interconnected through a common standard. A fundamental challenge is the seamless integration of physical and digital realities, which requires communication infrastructure capable of dynamic, context-aware, and highly reliable connectivity across diverse platforms, including smartphones, sensors, robots, headsets, and vehicles. This workshop will examine the role of flexible, conformal, and reconfigurable antenna systems in enabling such infrastructures. Various flexible antenna systems will be examined, including Fluid Antenna Systems (FAS), Movable Antennas (MA), Pinching Antenna Systems (PASS), Reconfigurable Intelligent Surfaces (RIS), and Holographic MIMO systems (HMIMO), as enablers of high-bandwidth and low-latency links in dense three-dimensional environments. A key focus will be on exploiting additional spatial degrees of freedom through controlled antenna motion, orientation control, and intelligent surface reconfiguration to deliver robust, adaptive connectivity for immersive experiences without relying on large numbers of conventional radio-frequency chains.
The workshop aims to bridge advances in spatial channel modeling, flexible antenna design, theoretical performance analysis, and adaptive system optimization for practical implementations in wearables, extended reality headsets, smart vehicles, drones, and built environments. The workshop will investigate how structural deformation, such as pinching and bending, combined with adaptive repositioning of radiating and dielectric elements, can alleviate millimeter-wave and terahertz propagation challenges, including high path loss, blockage by users and objects, and rapidly varying line-of-sight conditions, while supporting fine-grained spatial coverage of users and devices. Moreover, the workshop will consider how flexible antenna systems integrate with emerging spatial web standards, edge computing architectures, and open protocols that connect communication service providers with heterogeneous ecosystem partners. By bringing together researchers and practitioners from electromagnetics, materials science, networking, wireless communications, and robotics, the workshop will foster interdisciplinary collaboration toward physically conformal, spatially agile, and environment-aware antenna and network solutions that can support persistent, high-fidelity digital overlays on the physical world.
Original research articles are solicited in, but not limited to, the following topics:
Yalin Liu is a senior lecturer at the School of Science and Technology, Hong Kong Metropolitan University. She received her Ph.D degree from Macau University of Science and Technology in 2022. From Jan. 2022 to May 2022, she worked as a research assistant at the Education University of Hong Kong. Her research interests include Space-Air-Ground Integrated Networks, IoT, Blockchain-enabled wireless networks, Web 3.0, Movable Antenna systems, ISAC, and AI solutions for Networks. Dr. Liu has led projects worth over HKD 12.4 million as project PI and Co-I, successfully securing 8 grants from the Hong Kong RGC and HKMU R&D. She has published widely papers in top-tier journals and conferences including IEEE JSAC, IEEE TVT, IEEE Network, IEEE ICC, IEEE GLOBECOM and IEEE WCL. She received the Katie Shu Sui Pui Charitable Trust – Outstanding Research Publication Award in 2025. Her invention "Facilitating Emotion Classification Based on Non-Intrusive Learner Data via Deep Neural Networks" was awarded a Gold Medal in iCAN 2022. Dr. Liu has served as a TPC member for some conferences such as IEEE WCNC and IEEE VTC, and as a reviewer for various IEEE journals, including TGCN, TCCN, TCOM, TITS, IoTJ, and COMMAG.
Yulei Wang (M'24, IEEE) is currently a Lecturer with South-Central Minzu University, Wuhan, China. He received the Ph.D. degree from Macau University of Science and Technology, Macau, China, in 2024. From July to December 2024 and from August to September 2025, he was a Research Assistant and a Research Associate, respectively, with Hong Kong Metropolitan University, Hong Kong, China. His research interests include pinching-antenna systems, backscatter communications, and channel modeling for next-generation wireless networks. Dr. Wang has authored and coauthored multiple journal and conference papers, including publications in IEEE TVT, IEEE IoTJ, IEEE WCL and IEEE VTC. He is the principal investigator of research projects funded by the Hubei Provincial Natural Science Foundation of China and the Fundamental Research Funds for the Central Universities. Dr. Wang has served as a TPC Member for several international conferences, including IEEE WOCC 2025. He also serves as a reviewer for a number of leading IEEE journals, including IEEE TWC, IEEE TCOM, IEEE TCCN, IEEE TVT, and IEEE IoTJ.
Daniel Ka Chun So received the BEng (Hons) degree in Electrical and Electronics Engineering from the University of Auckland, New Zealand, and the PhD degree in Electronics Engineering from the Hong Kong University of Science and Technology (HKUST). He joined the University of Manchester as a Lecturer in 2003 and is now a Full Professor. He is the Deputy Head of Department of Electrical & Electronic Engineering and was the Discipline Head of Education in 2019-2024. His research interests include green communications, NOMA, beyond 5G and 6G networks, pinching antenna systems, machine learning and federated learning, massive MIMO, cell-free mMIMO, RIS, and SWIPT. He served as a Senior Editor of IEEE Wireless Communication Letters in 2020-2024 and an Editor in 2016-2020. He also served as an Editor of IEEE Transactions on Wireless Communications between 2017-2023. He is currently an Editor of IEEE Transactions on Green Communications and Networking. He also served as a symposium co-chair for a number of IEEE ICC, Globecom, and VTC. He was the chair of the Green Cellular Networks Special Interest Group in the IEEE ComSoc Green Communications and Computing Technical Committee in 2020-2024.
Ming Zeng (SM, IEEE) is an Associate Professor and a Canada Research Chair at the department of Electrical and Computer Engineering, Université Laval, Canada. He has published more than 160 articles and conferences in first-tier IEEE journals and proceedings, and his work has been cited over 6700 times per Google Scholar. His research interests include resource allocation for beyond 5G systems, and machine learning empowered optical communications. He serves as an Associate Editor of the IEEE Transaction on Communications and IEEE Wireless Communications Letters, and a TPC chair for IEEE WCNC 2027.
Beixiong Zheng is currently a Professor with the School of Microelectronics, South China University of Technology. He received his B.Eng. and Ph.D. degrees from the South China University of Technology, Guangzhou, China, in 2013 and 2018, respectively. He was a Research Fellow with the Department of Electrical and Computer Engineering, National University of Singapore from 2019 to 2022. From 2015 to 2016, he was a Visiting Student Research Collaborator with Columbia University, New York, NY, USA. His recent research interests include 5G/6G wireless communications, rotatable antenna (RA), intelligent reflecting surface (IRS), and signal processing. Dr. Zheng has served as the Lead Guest Editor for the IEEE JSAC, and currently serves as an Editor for the IEEE TWC and the IEEE CL. He was the recipient of the IEEE Communications Society Asia-Pacific Best Young Researcher Award in 2025, the IEEE Communications Society Heinrich Hertz Award for Best Communications Letter in 2022, and the IEEE Communications Society Best Tutorial Paper Award in 2023. In addition, he was listed as the Highly Cited Researchers by Clarivate, the Highly Cited Chinese Researchers by Elsevier, and the World's Top 2% Scientist by Stanford University and Mendeley Data.
Submission details refer to the ICAIT 2026 website: https://www.icait.org/submission.html