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W13: Integrated sensing, communication, computing and control for low-altitude intelligent networking - VTC2025-Fall Chengdu

Workshop 13 has been merged with Workshop 24 to form the workshop titled “Emerging THz Sensing, Communication, Computing and Control Technology for Future Wireless Networks“.

W13: Integrated sensing, communication, computing and control for low-altitude intelligent networking

Co-Organizer: Ming-Min Zhao, Zhejiang University, China
Co-Organizer: Min Li, Zhejiang University, China
Co-Organizer: Qingqing Wu, Shanghai Jiaotong University, China
Co-Organizer: Osvaldo Simeone, King’s College London, UK

Technical Program Committee:
Beixiong Zheng, South China University of Technology, China
Changsheng You, Southern University of Science and Technology, China
Chunshan Liu, Hangzhou Dianzi University, China
Fotios Stavrou, Eurecom, France
Jinbei Zhang, Sun Yat-sen University, China
Lawrence Ong, University of Newcastle, Australia
Wanchun Liu, The University of Sydney, Australia
Weidong Mei, University of Electronic Science and Technology of China, China
Xiaoling Hu, Beijing University of Posts and Telecommunications, China
Xidong Mu, Queen’s University Belfast, UYong Zeng, Southeast University, China
Zhiqiang Wei, Xi’an Jiaotong University, Chinav

Abstract: The rapid emergence of low-altitude intelligent networking, driven by UAVs, aerial mobility, and smart infrastructure, demands the synergistic integration of sensing, communication, computing, and control (ISCCC) to enable safe, efficient, and autonomous operations. Advances in AI, edge computing, 5G/6G, and distributed control systems have propelled ISCCC as a transformative paradigm for applications, such as drone delivery, air traffic management, precision agriculture, and urban surveillance, etc. However, harmonizing these functionalities in dynamic, resource-constrained aerial environments poses significant challenges, including real-time data processing, latency-critical decision-making, spectrum coexistence, and cross-domain security.

This half-day workshop explores cutting-edge innovations and practical solutions for ISCCC in low-altitude intelligent networks. Topics will address the co-design of sensing-communication waveforms, edge-AI-driven resource orchestration, distributed computing architectures, and intelligent control frameworks tailored for UAV swarms and aerial networks. Aiming to bridge academia and industry, the event will foster discussions on overcoming technical bottlenecks, unlocking new business models, and shaping regulatory policies to accelerate the sustainable growth of the low-altitude economy. Researchers and practitioners are invited to share insights on advancing ISCCC technologies toward scalable, resilient, and intelligent aerial ecosystems.

Co-Organizer’s Bios:

Ming-Min Zhao

Ming-Min Zhao (Senior Member, IEEE) received the B.Eng. and Ph.D. degrees in information and communication engineering from Zhejiang University, in 2012 and 2017, respectively. From 2015 to
2016, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, USA. From 2017 to 2018, he worked as a Research Engineer with
Huawei Technologies Co., Ltd. From 2019 to 2020, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, National University of Singapore. Since 2018, he has been
working with Zhejiang University, where he is currently an Associate Professor with the College of Information Science and Electronic Engineering. His research interests include algorithm design and analysis for advanced MIMO, signal processing for communication, channel coding, and machine learning for wireless communications. He was the recipient of the IEEE Communications Society Katherine Johnson Young Author Best Paper Award in 2024.

Min Li

Min Li (Member, IEEE) received the B.E. degree in telecommunications engineering and the M.E. degree in information and communication engineering from Zhejiang University, Hangzhou, China, in 2006 and 2008, respectively, and the Ph.D. degree in electrical engineering from Pennsylvania State University, State College, PA, USA, in 2012. He was a Postdoctoral Fellow with the School of
Engineering, Macquarie University, Sydney, Australia, from 2012 to 2016 and from 2018 to 2019, and with the School of Electrical Engineering and Computing, The University of Newcastle, Callaghan, Australia, from 2016 to 2018. Since 2019, he has been a ZJU100 Young Professor with the College of Information Science and Electronic Engineering, Zhejiang University. His research interests include network information theory, millimeter-wave cellular communications, integrated sensing and communication systems, and covert wireless communication. He has received the Young Rising Star Award by the Information Theory Society of Chinese Institute of Electronics in 2021. He was an Exemplary Reviewer of IEEE TRANSACTIONS ON COMMUNICATIONS in 2018 and 2021. He was the TPC Chair for the 18th Australian Communications Theory Workshop (AusCTW) and is the Publicity Chair for 2025 IEEE Information Theory Workshop (ITW).

Qingqing Wu

Qingqing Wu (Senior Member, IEEE) is an Associate Professor with Shanghai Jiao Tong University. His current research interest includes intelligent reflecting surface (IRS), unmanned aerial vehicle
(UAV) communications, and MIMO transceiver design. He has coauthored more than 100 IEEE journal papers with 40+ ESI highly cited papers, which have received more than 34,000 Google citations. He has been listed as the Clarivate ESI Highly Cited Researcher since 2021.

He serves as an Associate/Senior/Area Editor for IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Communications Letters, IEEE Wireless
Communications Letters. He is the Lead Guest Editor for IEEE Journal on Selected Areas in Communications. He is the workshop co-chair for IEEE ICC 2019-2023 and IEEE GLOBECOM 2020. He is the Founding Chair of IEEE Communications Society Young Professional committee in Asia Pacific Region and Chair of IEEE VTS Drone Committee.

Osvaldo Simeone

Osvaldo Simeone (Fellow, IEEE) received the M.Sc. (Hons.) and Ph.D. degrees in information engineering from the Politecnico di Milano, Milan, Italy, in 2001 and 2005, respectively. From 2006 to  2017, he was a Faculty Member with the Electrical and Computer Engineering (ECE) Department, New Jersey Institute of Technology (NJIT), where he was with the Center for Wireless Information Processing (CWiP). He is currently a Professor of information engineering. He co-directs the Centre for Intelligent Information Processing Systems, Department of Engineering, King’s College London, where he also runs the King’s Communications, Learning and Information Processing Laboratory. He is also a Visiting Professor with the Connectivity Section, Department of Electronic Systems, Aalborg University. His research interests include information theory, machine learning, wireless communications, neuromorphic computing, and quantum machine learning. He is a fellow of IET and EPSRC. He was a co-recipient of the 2022 IEEE Communications Society Outstanding Paper Award, the 2021 IEEE Vehicular Technology Society Jack Neubauer Memorial Award, the 2019 IEEE Communication Society Best Tutorial Paper Award, the 2018 IEEE Signal Processing Best Paper Award, the 2017 JCN Best Paper Award, the 2015 IEEE Communication Society Best Tutorial Paper Award, and the Best Paper Award of IEEE SPAWC 2007 and IEEE WRECOM 2007. He was awarded the Open Fellowship by EPSRC in 2022 and the Consolidator grant by European Research Council (ERC) in 2016.