The low-altitude economy (LAE), driven by UAV-assisted space-air-ground integrated networks (SAGIN), IoT proliferation, and terrestrial infrastructure saturation, is emerging as a cornerstone of next-generation aerial systems. LAE transcends traditional terrestrial networks by orchestrating unmanned and manned aircraft—including UAVs and eVTOLs—to enable transformative applications such as smart logistics, precision agriculture, and emergency response. This ecosystem uniquely integrates aerial platforms as reconfigurable base stations, relays, and charging hubs, demanding ultra-reliable, low-latency integrated sensing, communications, and computing (ISAC) to address dynamic operational challenges. As 6G wireless networks evolve, artificial intelligence (AI) has become pivotal in bridging the gap between LAE’s theoretical potential and practical deployment. AI-driven ISAC frameworks synergize cognitive network optimization, federated learning-enhanced environmental perception, and adaptive edge computing to overcome spectrum scarcity, mobility constraints, and heterogeneous service requirements. For instance, multi-agent reinforcement learning (MARL) algorithms optimize UAV trajectory planning and spectrum allocation, while lightweight AI models deployed at the edge prioritize latency-critical tasks like collision avoidance. This workshop explores foundational principles, cutting-edge innovations, and socio-economic implications of AI-empowered 6G-ISAC for LAE. Attendees will engage with topics spanning AI-enhanced cognitive networks, federated sensing architectures, and human-in-the-loop safety protocols, supported by real-world case studies and digital twin validations. By fostering interdisciplinary dialogue, this initiative aims to catalyze scalable, ethical, and economically viable LAE ecosystems aligned with global smart city agendas.
Topics (Including but not limited to)
- AI-empowered integrated communication, sensing, and computing for LAE transport networks | 面向低空经济运输网络的AI赋能集成通信、感知与计算技术
- AI-empowered resource management and optimisation for LAE communication networks | 面向低空经济通信网络的AI赋能资源管理与优化
- AI-empowered wireless charging system design and optimisation for LAE application | 面向低空经济应用的AI赋能无线充电系统设计与优化
- AI-empowered testbed and real-world evaluation of LAE systems | 面向低空经济系统的AI赋能测试平台与实际场景评估
- AI-empowered model design, deployment, and assessment for digital twin-enabled LAE applications | 面向数字孪生驱动的低空经济应用的AI赋能模型设计、部署与评估
- AI-empowered UAV detection, positioning, and navigation optimisation for LAE applications | 面向低空经济应用的AI赋能无人机检测、定位与导航优化
- AI-empowered swarm technology for LAE application scenarios | 面向低空经济应用场景的AI赋能群体智能技术
- AI-empowered security and privacy model design in LAE scenarios | 面向低空经济场景的AI赋能安全与隐私模型设计
- AI-empowered structure and protocol designs for LAE communication and networking systems | 面向低空经济通信与网络系统的AI赋能结构与协议设计
- AI-empowered semantic communication for LAE communication networks | 面向低空经济通信网络的AI赋能语义通信技术
Chair: Asst. Prof. Bintao Hu, Xi’an Jiaotong-Liverpool University, China
Bintao Hu (Member, IEEE) is an Assistant Professor at the School of Internet of Things, Xi’an Jiaotong-Liverpool University, Suzhou, China. He received his B.Eng. degree in telecommunications engineering from Xiangtan University, Xiangtan, China, in 2015, M.Sc. degree in Data Communications in 2017 and Ph.D. degree in Electronic and Electrical Engineering in 2022, both from the University of Sheffield, UK. He attended the European Commission Decade project with Ranplan, Barcelona, Spain, in 2018. He received the best paper award in SMC-IoT 2023, the best oral presentation award in IEEE/ACIS ICIS 2023, and the best workshop organisation award in SMC-IoT 2023. He served as a Chair/Co-Chair of many international workshops such as IEEE VTC-Spring 2025, IEEE ICCCN 2025, IEEE VTC-Fall 2024, IEEE RFIT 2024, IEEE ICCCN 2024, etc. He served as the TPC member for many international flagship conferences such as IEEE WCNC 2025/2024, IEEE VTC-Fall 2024, IEEE PIMRC 2025/2024, IEEE VTC-Fall 2023, etc. He also served as a reviewer for many journals and international conferences, such as IEEE Transactions on Network Science and Engineering, Vehicular Communications, IEEE WCNC 2025/2024, VTC-Fall 2023, IEEE VTC-Fall 2019, etc. His current research interests include low-altitude economy communications, D2D/V2X/U2X communications, MEC, ISAC, space-air-ground integrated networks, digital twins, federated learning, and AI.
Co-chair: Assoc. Prof. Jianbo Du, Xi’an University of Posts and Telecommunications, China
Jianbo Du (Member, IEEE) received her Ph.D. in communication and information systems from Xidian University, Xi'an, Shaanxi, China, in 2018. She was a visiting scholar at Carleton University, Canada, in 2019. She is now an associate professor with the School of Communication and Information Engineering, Xi'an University of Posts and Telecommunications. She has published more than 70 research papers in leading journals and flagship conferences and 7 of them are ESI Top 1% highly cited papers, and her papers have been cited more than 2,900 times on Google Scholar. She was selected as the Top 2% world top scientists in 2022-2024. She hosts many projects including National Natural Science Foundation of China General Project and Youth Project. She serves as the editor of IEEE Wireless Communications Letters and IEEE Open Journal of Vehicular Technology, the guest editor of IET Communications, etc. She serves as the TPC chair/session chair of many international conferences/workshops such as 5th ECNCT 2023, IEEE VTC 2025 Spring, IEEE VTC 2024 Fall, IEEE ICCC 2024, IEEE GBC 2024, U.com 2024, IEEE ICCT 2023, SMC-IoT 2023, WCSP 2019, IEEE ICCC 2020, etc. She also serves the TPC member of many conferences, and the reviewer for more than 30 leading journals. She has been awarded the excellent reviewer of IEEE TCOM, IEEE TNSE, and IEEE CL in 2021 and 2022, and the excellent reviewer of Science China - Information Science in 2023. She received Xi'an Natural Science Excellent Academic Paper Award in 2020, Second Prize of the Science and Technology Progress Award of the China Institute of Communications in 2023, Second Prize of the Excellent Scientific and Technological Research Achievements Award of Shaanxi Higher Education Institutions in 2023, the best paper reward of 11th international conference on Mobile Networks and Management in 2021, and the best workshop organisation award in SMC-IoT 2023. Her research interests include mobile edge computing, blockchain, space-air-ground integrated networks, deep reinforcement learning, resource allocation, etc., and their applications in wireless communications.
Co-chair: Asst. Prof. Zhicai Zhang, Hainan University, China
Zhicai Zhang (Member, IEEE) received the Ph.D. degree from the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China, in 2014. He is currently an Assistant Professor with the School of Computer Science and Technology, Hainan University, Haikou, China. From September 2017 to September 2018, he was with Carleton University, Ottawa, ON, Canada, as a Visiting Scholar. His research interests include edge intelligence, distributed machine learning, and blockchain. He received the Best Paper Award at IEEE Globecom’20 and has served as the Technical Program Committee member of IEEE ICC (2021-2025), and VTC (2021-2024). Dr. Zhang serves/served as a reviewer for several journals, including IEEE JSAC, IEEE IoTJ, IEEE TGCN, and IEEE Communications Magazine.
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