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W4: Advanced Techniques in Synergetic Digital Twins and Pervasive Intelligence for ISAC in Next-Gen Vehicular Networks - VTC2025-Fall Chengdu

VTC2025-Fall Chengdu > Program > Workshops Currently Available > W4: Advanced Techniques in Synergetic Digital Twins and Pervasive Intelligence for ISAC in Next-Gen Vehicular Networks

W4: Advanced Techniques in Synergetic Digital Twins and Pervasive Intelligence for ISAC in Next-Gen Vehicular Networks

Co-Organizer: Yu Cheng, Illinois Institute of Technology, USA
Co-Organizer: Tom H. Luan, Xi’an Jiaotong University, China
Co-Organizer: Fengye Hu, Jilin University, China

TPC Co-chairs:
Qihao Li, Jilin University, China
Qiang (John) Ye, University of Calgary, Canada
Hongliang Zhang, Peking University, China
Mushu Li, Lehigh University, USA
Yanglong Sun, Jimei University, China
Zhuang Ling, Jilin University, China

Workshop Publicity Co-chairs:
Junling Li, Southeast University, China
Haixia Peng, Xi’an Jiaotong University, China

Abstract: As vehicular systems evolve toward ultra-autonomous, hyper-connected ecosystems, the fusion of sensing and communication into unified integrated sensing and communication (ISAC) architectures is critical to address escalating demands for real-time responsiveness, environmental cognition, and adaptive coordination. These networks face multifaceted challenges: dynamic topographies in urban or remote environments, signal interference from high-density vehicle-to-everything (V2X) interactions, and the need for ultra-reliable, low-latency data exchange to support applications like autonomous platooning, collision avoidance, and immersive in-vehicle services. Here, digital twins (DTs) emerge as transformative tools, creating dynamic virtual replicas of vehicular systems—from individual sensors to entire traffic ecosystems—to enable real-time simulation, predictive analytics, and lifecycle optimization. When coupled with Pervasive Intelligence, which embeds AI/ML-driven decision-making across edge devices and cloud platforms, this synergy unlocks proactive resource allocation, energy-efficient routing, and self-healing network capabilities. However, integrating these paradigms introduces complexities, such as harmonizing heterogeneous sensor data streams (lidar, radar, V2X) into precise DTs models, ensuring algorithmic efficiency in distributed edge environments, and balancing computational load across resource-constrained vehicular nodes. These challenges necessitate the design of frameworks, technologies and protocols to ensure reliable operation across both physical and virtual infrastructure components. The integration of DTs and pervasive intelligence with sensing and communication systems represents a strategic advancement that enhances vehicular networks ‘ capabilities beyond conventional data transmission and environmental monitoring. The event will explore innovations in adaptive ISAC waveform design, federated learning for privacy-preserving vehicular intelligence, and edge-native synergetic DT and pervasive intelligence that optimize 6G-enabled vehicular networks.

This workshop aims to explore the integration of DTs and pervasive intelligence to drive advancements in next-generation vehicular networks, focusing on enhancing energy efficiency, ultra-reliable communications, and ultra-low latency. By addressing key challenges and presenting innovative solutions, it offers a platform for experts to collaborate on accelerating digital transformation in the Internet of Vehicles (IoV) and intelligent transportation systems. Topics of interest include, but are not limited to:

  • Scalable Architectures for Digital Twin Deployment in Vehicular Networks
  • Advanced AI/ML Solutions for Automated Vehicular Network Management
  • Digital Twin-Driven Intelligence for Real-Time Vehicular Network Optimization
  • Pervasive Intelligence in Self-Organizing and Adaptive Vehicular Systems
  • Sustainable Vehicular Network Designs Leveraging Digital Twin Frameworks
  • Enhanced Security and Privacy Mechanisms for DT-Based Vehicular Architectures
  • Interoperability Standards for Harmonizing DT and AI Technologies in Transportation
  • Real-Time Analytics and Edge Computing in Vehicular Digital Twin Integration
  • Novel Applications and Personalized Services Powered by DT in Connected Vehicles
  • Predictive Maintenance and Fault Detection Using DTs in Automotive Systems
  • IoT-Driven Applications of Digital Twins in Intelligent Transportation Systems
  • Big Data Management and Analytics for Digital Twin Integration in Vehicular Contexts
  • Virtualized Network Slicing for Customized Digital Twin Services for Vehicles
  • Intelligent Drone/UAV-Enabled Traffic Monitoring Powered by DT and AI
  • Cross-Domain Innovations Enabled by DT in Smart Mobility and Beyond

Biographies of Workshop Organizers:

Yu Cheng is a Full Professor with the Department of Electrical and Computer Engineering, Illinois Institute of Technology, USA. He received the B.E. and M.E. degrees in Electrical Engineering from Tsinghua University, Beijing, China, in 1995 and 1998, respectively, and the Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, Waterloo, Ontario, Canada, in 2003. From September 2004 to July 2006, he was a postdoctoral research fellow in the Department of Electrical and Computer Engineering, University of Toronto, Ontario, Canada. Since August 2006, he has been with the Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, Illinois, USA, and he is now a full Professor. His research interests include wireless network performance analysis, network security, cloud computing, big data, integration of heterogeneous networks, and machine learning. He received a Postdoctoral Fellowship Award from the Natural Sciences and Engineering Research Council of Canada (NSERC) in 2004, and a Best Paper Award from the conferences QShine 2007 and ICC 2011, and the Best Paper Runner-Up Award from ACM MobiHoc 2014. He received the National Science Foundation (NSF) CAREER AWARD in 2011 and IIT Sigma Xi Research Award in the junior faculty division in 2013. He served as a Co-Chair for the Wireless Networking Symposium of IEEE ICC 2009, a Co-Chair for the Communications QoS, Reliability, and Modeling Symposium of IEEE GLOBECOM 2011, a Co-Chair for the Signal Processing for Communications Symposium of IEEE ICC 2012, a Co-Chair for the Ad Hoc and Sensor Networking Symposium of IEEE GLOBECOM 2013, a Co-Chair for Communication and Information System Security Symposium of IEEE ICC 2016, and a Technical Program Committee (TPC) Co-Chair for WASA 2011, ICNC 2015, and IEEE/CIC ICCC 2015. He is a founding Vice Chair of the IEEE ComSoc Technical Subcommittee on Green Communications and Computing. He is an Associated Editor for IEEE Transactions on Vehicular Technology. He was an IEEE ComSoc distinguished lecturer in 2016-2017. He is an IEEE Fellow.

Tom H. Luan is a Full Professor with the School of Cyber Science and Engineering, Xi’an Jiaotong University, China. He received the B.Eng. degree from Xi’an Jiaotong University, Xi’an, China, in 2004, the M.Phil. degree from The Hong Kong University of Science and Technology, Hong Kong, in 2007, and the Ph.D. degree from the University of Waterloo, Waterloo, ON, Canada, in 2012. He has authored/co-authored more than 200 technical papers in journals and conference proceedings, and has received one U.S. patent. His research mainly focuses on content distribution and media streaming in vehicular ad hoc networks and peer-to-peer networking, and the protocol design and performance evaluation of wireless cloud computing and edge computing. Dr. Luan served the TPC chair of EAI CPScom’2021, EAI Tridentcom’2021 and symposium chairs of ICNC 2014, 2015.

Fengye Hu is a full professor in the College of Communication Engineering, Jilin University. He received the B.S. degree from the Department of Precision Instrument, Xi’an University of Technology (China) in 1996, and the M.S. and Ph.D. degrees in communication and information systems from Jilin University, China, in 2000 and 2007, respectively. He served as a visiting scholar in electrical and electronic engineering from Nanyang Technological University (NTU), Singapore, in 2011. His current research interests include wireless body area networks, wireless energy and information transfer, energy harvesting, cognitive radio, and space-time communication. He is an Editor of IEEE TVT, IEEE IOTJ, and China Communications, and served as an Editor of IET Communications.

Qihao Li is an Associate Professor with the College of Communication Engineering, Jilin University, China. He received the M.Sc. degree in Information and Communication Technology from University of Agder, Norway, in 2013 and Ph.D. degree in the Department of Electrical and Computer Engineering from the University of Oslo, Norway, in 2019. In 2016, he was a visiting researcher at the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. In 2020, he was a postdoctoral fellow with the Department of Electrical and Computer Engineering from University of Waterloo, ON, Canada. His current research focuses on industrial IoT, digital twin, optimal control and optimization, wireless network security and localization. He servers as Associate Editor of IEEE Internet of Things Journals, and Guest Editor of MPDI Future Internet Journals. He served as the Publication, Program Co-chairs for IEEE Globecom’ 24, IEEE CIC/ICCC’23/24, and members of TPC for IEEE Globecom’19-24, IEEE ICC’19-24, IEEE CIC ICCC’17-24, EuCAP’2019, BDEC-SmartCity’18.

Qiang (John) Ye received the PhD degree in Electrical and Computer Engineering from the University of Waterloo, ON, Canada, in 2016. Since Sept. 2023, he has been an Assistant Professor with the Department of Electrical and Software Engineering, Schulich School of Engineering, University of Calgary, AB, Canada. Before joining UCalgary, he worked as an Assistant Professor with the Memorial University of Newfoundland, NL, Canada from Sept. 2021 to Aug. 2023 and with the Minnesota State University, Mankato, USA, from Sept. 2019 to Aug. 2021, respectively. He was with the Department of Electrical and Computer Engineering, University of Waterloo as a Postdoctoral Fellow and then a Research Associate from Dec. 2016 to Sept. 2019. He has published around 80 research articles on top-ranked journals and conference proceedings. He is/was the General, Publication, Program Co-chairs for different reputable international conferences and workshops, e.g., IEEE ICCC’23, CANAI’23, IEEE VTC’22, IEEE INFOCOM’22, and IEEE IPCCC’21. He serves as Associate Editors of various top-tier IEEE Transactions/Journals, e.g., IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, IEEE Internet of Things Journal, and IEEE Open Journal of the Communications Society. He also serves/served as the IEEE Vehicular Technology Society (VTS) Region 7 Chapter Coordinator (2024) and the Regions 1-7 Chapters Coordinator (2022-2023), and the IEEE Communications Society Southern Alberta Chapter Vice Chair (2024). Dr. Ye received the Best Paper Award in the IEEE/CIC International Conference on Communications in China (ICCC) in 2024 and the IEEE Transactions on Cognitive Communications and Networking Exemplary Editor Award in 2023. Dr. Ye has been named among the World’s Top 2% Scientists in 2023 and 2024 (by Stanford/Elsevier). He is a Senior Member of IEEE.

Hongliang Zhang is an Endowed Boya Young Fellow Assistant Professor with School of Electronics, Peking University, Beijing, China. He received B.S. and Ph.D. degrees at the School of Electrical Engineering and Computer Science at Peking University, in 2014 and 2019, respectively. His current research interests include intelligent surfaces, aerial access networks, and Internet of Things. He received the best doctoral thesis award from Chinese Institute of Electronics in 2019. He is also the recipient of 2024 IEEE/CIC ICCC Best Demo Award, 2023 IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award, 2021 IEEE Comsoc Heinrich Hertz Award for Best Communications Letters, and 2021 IEEE ComSoc Asia-Pacific Outstanding Paper Award. He has served as a TPC Member and a workshop co-chair for many IEEE conferences. He is the winner of the Outstanding Leadership Award as the publicity chair for IEEE EUC in 2022. He is currently an Editor for IEEE Internet of Things Journal, IEEE Transactions on Vehicular Technology, IEEE Communications Letters, and IET Communications. He is an exemplary editor for IEEE Communications Letters in 2023.

Mushu Li is an Assistant Professor in the Department of Computer Science and Engineering at Lehigh University, USA. She received the Ph.D. degree in Electrical and Computer Engineering from the University of Waterloo, ON, Canada, in 2021. She was a Postdoctoral Fellow at Toronto Metropolitan University (from 2022 to 2024) and the University of Waterloo (from 2021 to 2022). Her research interests include machine learning for communications and networking, cloud and multi-access edge computing, Intelligent Internet of Things (IoT), and next-generation (6G) wireless networks. She has served as an associate editor for Peer-to-Peer Networking and Applications since 2023. Dr. Li received the Best Land Transportation Paper Award from the IEEE Vehicular Technology Society in 2024, the NSERC Postdoctoral Fellowship in 2022, and the NSERC Canada Graduate Scholarship in 2018.

 

Yanglong Sun received the Ph.D. degree from Xiamen University, China, in 2022, received the B.S. degree and M.S degree from Zhengzhou University, China, in 2011 and 2014 respectively. He is currently an assistant professor at Navigation  College, Jimei University. He was a Visiting Ph.D. Student at the Broadband Communications Research (BBCR) Laboratory, Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada, from 2018 to 2019. His research interests include vehicular ad hoc networks, resource allocation in IoV, mobile 5G networks, and intelligent transportation systems.

Zhuang Ling is an associate professor in the College of Communication Engineering, Jilin University, China. He received the B.S. and Ph.D. degrees in the College of Communication Engineering, Jilin University, China, in 2016 and 2021, respectively. He was a visiting Ph.D. student with the Department of Electrical and Computer Engineering at the University of Houston in 2019. His research interests include passive internet of things, backscatter communications, energy harvesting, age of information, and distributionally robust optimization.

Junling Li received the B.S. degree from Tianjin University, Tianjin, China, and the M.S. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2013 and 2016, respectively. In 2020, she received the Ph.D. degree from the Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada. She was a Joint Postdoctoral Research Fellow at Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), University of Waterloo, and the Chinese University of Hong Kong, Shenzhen from 2020 to 2022. She is currently an Associate Professor in the National Mobile Communications Research Laboratory at Southeast University, Nanjing, China. Dr. Li received the Best Paper Awards from ICCC 2019 and ICCT 2023. Her research interests include digital twin, machine learning, 6G channel measurements and modeling, network function virtualization, and vehicular networks.

Haixia Peng received the first Ph.D. degree in computer science from Northeastern University, Shenyang, China, in 2017, and the second Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 2021.,From August 2021 to June 2022, she was an Assistant Professor with the Department of Computer Engineering and Computer Science, California State University Long Beach, Long Beach, CA, USA. She is currently an Associate Professor with the School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, China. Her research interests include satellite-terrestrial vehicular networks, multiaccess edge computing, resource management, artificial intelligence, and reinforcement learning. She serves/served as a TPC Member of IEEE VTC-fall 2016 and 2017, IEEE ICCEREC 2018, IEEE Globecom 2016–2022, and IEEE ICC 2017–2022 Conferences and serves as an Associate Editor for the Peer-to-Peer Networking and Applications

 

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