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W7: Advanced Digital Twin and Pervasive Intelligence Integration for Next-Gen Vehicular Networks - VTC2025-Spring Oslo

VTC2025-Spring Oslo > Program > Workshops Currently Available > W7: Advanced Digital Twin and Pervasive Intelligence Integration for Next-Gen Vehicular Networks

Submission Deadline Extended to 13 March 2025

W7: Advanced Digital Twin and Pervasive Intelligence Integration for Next-Gen Vehicular Networks

Workshop Organizers

Workshop general Co-chairs
Octavia A. Dobre, Memorial University, Canada
Ning Zhang, University of Windsor, Canada
Tom H. Luan, Xi’an Jiaotong University, China
Josef Noll, University of Oslo, Norway

Workshop TPC Co-chairs
Qihao Li, Jilin University, China
Michael Cheffena, NTNU, Norway
Qiang (John) Ye, University of Calgary, Canada
Wen Wu, Peng Cheng Laboratory, China
Hongliang Zhang, Peking University, China
Mushu Li, Lehigh University, USA

Workshop Publicity Co-chair
Nan Chen, Tennessee Tech University, USA
Omar Alhussein, Khalifa University, UAE

Abstract: The incorporation of cutting-edge digital twin (DT) technology and pervasive intelligence holds the potential to revolutionize next-generation vehicular networks. This powerful combination facilitates the creation of highly adaptive, self-managing systems, where DTs—sophisticated digital representations of physical assets enriched with real-time data insights—collaborate with advanced AI and machine learning techniques to deliver intelligent and automated operations. By capitalizing on this synergy, next-gen vehicular networks can attain exceptional levels of performance, offering seamless real-time monitoring, predictive maintenance, and context-aware service optimization for dynamic transportation scenarios. These innovations promise significant advancements in areas such as connected and autonomous vehicles, intelligent traffic management, and integrated urban mobility systems. However, realizing this vision comes with substantial challenges. Vehicular networks must accommodate an unprecedented density of connected devices and diverse mobility use cases, requiring scalable and resilient DT frameworks to accurately replicate and manage dynamic physical environments. Integrating pervasive intelligence with DTs also raises critical concerns regarding data privacy, secure transmission, and the mitigation of sophisticated cyber-attacks in highly interconnected systems. Additionally, ensuring interoperability across DTs, AI-driven algorithms, and heterogeneous vehicular network components is a complex task, particularly in ecosystems incorporating multi-vendor hardware and software solutions. Addressing these issues demands innovative strategies that balance scalability, robust security, and cross-system compatibility while maintaining low latency and high reliability in vehicular environments. In summary, integrating advanced digital twins and pervasive intelligence into next-generation vehicular networks paves the way for transformative breakthroughs in transportation systems. This integration empowers networks to predict and adapt to shifting conditions in real-time, fostering safer, more efficient, and more sustainable mobility ecosystems. These advancements are crucial for the success of future autonomous transport frameworks, intelligent mobility solutions, and next-generation smart cities, where adaptive and resilient network infrastructures are indispensable.

The goal of this workshop is to delve into the transformative potential of integrating Digital Twins (DTs) and pervasive intelligence within the design and evolution of next-generation vehicular networks. By emphasizing the seamless fusion of these technologies, the workshop aims to uncover their contributions to achieving groundbreaking advancements in vehicular network performance, including exceptional energy efficiency, ultra-reliable communications, and ultra-low latency. The scope encompasses analyzing the challenges, pioneering solutions, and cutting-edge methodologies essential for the successful deployment and optimization of DTs and pervasive intelligence in future vehicular networks. A significant emphasis is placed on their role in accelerating digital transformation, enhancing the Internet of Vehicles (IoV), and enabling novel use cases across the automotive industry and intelligent transportation systems. This workshop offers a platform for experts and practitioners from academia, industry, and governmental organizations to collaborate, exchange innovative ideas, and present forward-thinking research and applications specific to vehicular networks. Through a blend of technical sessions, interactive discussions, and shared experiences, the workshop seeks to foster interdisciplinary innovation and shape the future trajectory of these transformative technologies within the vehicular domain.

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
  • Human-Centric Interfaces and Immersive Experiences in DT-Enhanced Vehicular Systems
  • Cross-Domain Innovations Enabled by DT in Smart Mobility and Beyond

Biographies of Workshop Organizers

Octavia A. Dobre (Fellow, IEEE) is a Professor and Tier-1 Canada Research Chair with Memorial University, Canada. She was a Visiting Professor with Massachusetts Institute of Technology, USA and Université de Bretagne Occidentale, France. Her research interests encompass wireless communication and networking technologies, as well as optical and underwater communications. She has (co-)authored over 500 refereed papers in these areas. Dr. Dobre serves as the VP Publications of the IEEE Communications Society. She was the inaugural Editor-in-Chief (EiC) of the IEEE Open Journal of the Communications Society and the EiC of the IEEE Communications Letters. Dr. Dobre was a Fulbright Scholar, Royal Society Scholar, and Distinguished Lecturer of the IEEE Communications Society. She obtained 8 IEEE Best Paper Awards including the 2024 Heinrich Hertz Award. Dr. Dobre is an elected member of the European Academy of Sciences and Arts, a Fellow of the Engineering Institute of Canada, a Fellow of the Canadian Academy of Engineering, and a Fellow of the Royal Society of Canada.

Ning Zhang is an Associate Professor and Canada Research Chair in the Department of Electrical and Computer Engineering at University of Windsor. He received the Ph.D. degree in Electrical and Computer Engineering in Jan. 2015, from University of Waterloo, Canada. After that, he was a postdoc research fellow at the University of Waterloo and University of Toronto, respectively. His research interests include connected vehicles, mobile edge computing, wireless networking, and security. He is a Distinguished Lecturer of IEEE ComSoc and a Highly Cited Researcher (Web of Science). He serves/served as an Associate Editor of IEEE Transactions on Mobile Computing, IEEE Communications Surveys and Tutorials, IEEE Internet of Things Journal, and IEEE Transactions on Cognitive Communications and Networking. He also serves/served as a TPC/General chair for numerous conferences. He received several Best Paper Awards from conferences and journals, such as IEEE Globecom, IEEE ICC, IEEE ICCC, IEEE WCSP, and Journal of Communications and Information Networks. He serves as the Vice Chair for IEEE Technical Committee on Cognitive Networks and IEEE Technical Committee on Big Data.

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.

Josef Noll is a professor at the University of Oslo (UiO) and Secretary General of the Basic Internet Foundation. His focus is on communication and IoT-/Information security, and especially digitalization based on free access to information for all. He was previously Senior Advisor and group leader at Telenor R&I where his group developed 3G/UMTS. He has also worked at the European Space Agency and SIEMENS. He is a reviewer of several EU projects and an evaluator of national and EU research programs. His focus is on sustainable innovations, based on digital inclusion for all.

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.

Michael Cheffena is a Professor at NTNU Gjøvik, Faculty of Engineering. He conducts research and teaching within the field of radio communications, signal processing for wireless communication systems, and sensors. His research activities are mainly centered on issues related to antenna and wave propagation for wireless communication systems and their system aspects. In recent years, he has also been interested in: i) Antennas and antenna sensors; ii) Millimeter wave and massive multiple-input and multiple-output (MIMO) techniques; iii) Cooperative communications; iv) Physical-layer security of wireless systems; v) Game theory for optimizing the security of wireless systems; and vi) Machine learning techniques for solving problems in wireless systems. He has a Ph.D in telecommunications (2008), M.Sc in signal processing for communication systems (2005) and B.Sc in computer science (2003).

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 has been named among the World’s Top 2% Scientists in 2023 and 2024 (by Stanford/Elsevier). He is a Senior Member of IEEE.

Wen Wu is an Associate Researcher at the Frontier Research Center, Peng Cheng Laboratory, Shenzhen, China. He received the Ph.D. degree in Electrical and Computer Engineering from University of Waterloo, Waterloo, ON, Canada, in 2019. He worked as a Post-doctoral Fellow with the Department of Electrical and Computer Engineering, University of Waterloo. He has authored/co-authored more than 90 journal and conference papers and has received two PCT patents. His research interests include 6G networks, network intelligence, and network virtualization. Dr. Wu received the World Top 2% Scientist Award, IEEE HITC Award for Excellence (Early Career Researcher), and IEEE CIC/ICCC Best Paper Award. He serves/served as an Editor/Guest Editor of Springer PPNA, Hindawi WCMC, China Communications, and Electronics. He also serves/served as a Track/Symposium Chair of IEEE VTC-Fall’23/24, IEEE Future Networks World Forum’24, EAI CollaborateCom’2021, and a TPC Co-Chair for several international workshops, including IEEE INFOCOM’22/23/24, IEEE ICCC’23, IEEE IPCCC’21 and HPCC’21. He is a Senior member of IEEE.

Hongliang Zhang (S’15-M’19) 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.

Omar Alhussein is an Assistant Professor with the Computer Science Department at Khalifa University, United Arab Emirates. He received his Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada, in 2020, his M.A.Sc. degree in Engineering Science from Simon Fraser University, Canada, in 2015, and his B.Sc. degree from Khalifa University, United Arab Emirates, in 2013. Prior to joining Khalifa University, Dr. Alhussein worked as a Senior Research Engineer with the Advanced Networking Team at Huawei Technologies Canada in Ottawa, from 2020 to 2023. With high-impact publications and award-winning patent applications, Dr. Alhussein has made impactful contributions to the fields of networking and AI. His research interests include network automation, network resource management and optimization, AI and networking, and wireless networks. He has received numerous awards during his industrial position with Huawei Technologies, such as an outstanding individual award and a quality research award. He serves as an Associate Editor for Springer PPNA.

Nan Chen is an Assistant Professor with the Department of Electrical and Computer Engineering, Tennessee Tech University. She received the PhD degree in the Department of Electrical and Computer Engineering from the University of Waterloo, Canada, in 2019. She Her research interests include digital twin platform development of smart cities, machine learning application in smart grid and vehicular network, resource allocation in electric vehicle-integrated smart grid and vehicular network. She is an associate editor for peer-to-peer networking and applications (PPNA).

 

For additional information, please visit: https://icons-research-group.github.io/ADT-NGVNet/

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