IEEE MASS2025 Workshop

Digital Twin and Pervasive Intelligence for Sensing, Communication, and Computing in Next-Generation Wireless Systems

International Workshop at IEEE MASS2025

📍
Location Room: 580, Venue: Conviser Law Center (Chicago‑Kent College of Law) – Illinois Institute of Technology
🗓
Date 8 October 2025 · 09:00–12:00 (Chicago, USA)
🏢
Conference IEEE MASS 2025 (22nd International Conference on Mobile Ad‑Hoc and Smart Systems)
Welcome to DTPI‑NGWS!
0
0
0
0
  • 🗣️ Keynote 1: Communication in Digital Twin‑based Internet of Vehicles — Prof. Lin X. Cai
  • 🗣️ Keynote 2: Building on the Tactile Internet — Prof. Sharief Oteafy
  • 👥 General Co‑chairs: Vojislav Mišić · Tom H. Luan · Qiang (John) Ye
  • 👥 TPC Co‑chairs: Qihao Li · Katsuya Suto · Hongliang Zhang · Mushu Li · Wen Wu · Ran Zhang
  • 📣 Publicity: Jie Gao · Huaqing Wu · Lan (Emily) Zhang
  • 📍 Venue: Conviser Law Center, Room 580 (Illinois Institute of Technology)

Workshop Scope

Emerging paradigms such as Digital Twin (DT) and Pervasive Intelligence (PI) are redefining the capabilities of next-generation wireless systems by intelligently managing sensing, communication, and computing. These technologies are particularly impactful in dynamic wireless environments where real-time responsiveness, contextual awareness, and autonomous adaptation are critical. At the heart of this evolution is the integrated sensing, communication, and computing (ISCC), which serves as a foundational enabler for unified data acquisition and transmission. However, deploying such an integrated solution in highly dynamic and resource-constrained systems introduces multifaceted challenges, ranging from maintaining robust connectivity under fluctuating network topologies and environmental interference to managing massive streams of sensor data efficiently across distributed edge devices. To address these issues, DTs offer real-time virtual representations of physical systems that support simulation, prediction, and optimization. Meanwhile, PI applies context-aware distributed artificial intelligence (AI) and adaptive algorithms to dynamically manage network demand, resource allocation, and operational parameters. The synergistic integration of DT and PI for next-generation wireless systems transforms them from reactive entities to proactive and self-optimizing ecosystems, delivering improved efficiency, reliability, and scalability. Despite these advantages, integrating DTs and PI into next-generation sensing, communication, and computing infrastructures brings new technical and architectural challenges. These include the accurate modeling and synchronization of virtual-physical systems, scalable edge computing frameworks, real-time data processing, and cross-domain interoperability. Tackling these issues calls for novel frameworks, protocols, and methodologies to ensure cohesive operations across physical and digital layers.

This workshop aims to explore advanced techniques, architectures/frameworks, and applications for incorporating DT and PI into next-generation wireless systems. It seeks to foster multidisciplinary collaboration and highlight innovative research that pushes the frontiers of developing next-generation intelligent wireless solutions, with emphasis on energy/transmission/computing efficiency, ultra-reliable low-latency communication (URLLC), intelligent computing at the edge, and increased automation/adaptability/scalability. Topics of interest include, but are not limited to:

🚗

Digital Twin Architecture & Management

  • Integrated Sensing, Communication, and Computing Architectures
  • DT Modeling and Synchronization for Smart Systems
  • PI for Network Management and Optimization
  • Networking Protocols for Dynamic and Resource-Constrained Environments
🤖

Intelligent Systems & Applications

  • Distributed and Edge AI for Sensing-Driven Applications
  • Cross-Layer Design and Optimization in DT/PI-Driven Frameworks
  • Real-Time Context Awareness and Decision-Making Algorithms
  • URLLC in Smart Wireless Systems
🌐

Network & System Integration

  • Energy-Efficient and Intelligent Data Processing and Communication Techniques
  • DT/PI-Enabled Predictive Analytics for Network Adaptation
  • Adaptive Resource Management in Integrated Sensing, Communication, and Computing Systems
  • DT/PI-Assisted Security, Privacy, and Trust Architectures
🛰️

Advanced Vehicular Services

  • Scalability and Interoperability in Pervasive Intelligence Systems
  • Testbeds, Benchmarking, and Performance Evaluation for DT/PI-Enabled Systems
  • Novel Use Cases and Applications (e.g., autonomous vehicles, disaster response, industrial automation)
  • Cross-Domain Innovations in Smart Mobility and Beyond

Call for Papers

We invite high-quality original submissions addressing theoretical and practical aspects of digital twin and pervasive intelligence for sensing, communication, and computing in next-generation wireless systems. All accepted papers will be included in the IEEE MASS 2025 Conference Proceedings and will be published in IEEE Xplore digital library.

Important Dates

  • Paper Submission Deadline: July 25, 2025
  • Review Deadline: August 07, 2025
  • Notification of Acceptance: August 15, 2025
  • Final Paper Submission: August 20, 2025

Paper Submission

Submission requirements: 6-page paper (without overlength charge) and up to 3 additional pages are allowed with the purchase of additional page charges. For each accepted paper to be published in the IEEE MASS 2025 Proceedings and IEEE Xplore, at least one author is required to register and attend the conference. The paper must be presented by an author listed on the paper. Substitute presenters, due to unforeseen circumstances or verifiable excuses, must be authorized in advance by the TPC Chairs. Unauthorized substitute presentations will result in the paper not being added to the IEEE digital archive of the conference proceedings. We also strongly encourage the authors to apply for a visa, if needed, at their earliest convenience.

Submit Your Paper

Invited Keynote Speakers

Lin Cai

Lin Cai

Illinois Institute of Technology, USA

Sharief Oteafy

Sharief Oteafy

DePaul University, USA

Workshop Organization

General Co-chairs

Vojislav Mišić

Vojislav Mišić

Toronto Metropolitan University, Canada

Tom H. Luan

Tom H. Luan

Xi'an Jiaotong University, China

Qiang (John) Ye

Qiang (John) Ye

University of Calgary, Canada

Technical Program Committee Co-chairs

Qihao Li

Qihao Li

Jilin University, China

Katsuya Suto

Katsuya Suto

University of Electro-Communications, Japan

Hongliang Zhang

Hongliang Zhang

Peking University, China

Mushu Li

Mushu Li

Lehigh University, USA

Ran Zhang

Ran Zhang

University of North Carolina at Charlotte, USA

Publicity Co-chairs

Jie Gao

Jie Gao

Carleton University, Canada

Huaqing Wu

Huaqing Wu

University of Calgary, Canada

Lan (Emily) Zhang

Lan (Emily) Zhang

Clemson University, USA

Workshop Schedule

🗓️Date & Time: October 8, 2025 · 9:00–12:00 (local time)
📍Venue: Conviser Law Center (Chicago‑Kent College of Law), Illinois Institute of Technology
🏢Address: Conviser Law Center,565 W Adams St, Chicago, IL 60661 · Room: 580
09:00–09:10

Opening Remarks

Workshop Co‑chairs

09:10–09:50

Keynote Speech 1: Communication in Digital Twin‑based Internet of Vehicles

Prof. Lin X. Cai (Illinois Institute of Technology, USA) Session Chair: Prof. Mushu Li

Abstract & Bio

Abstract. The integration of digital twins (DTs) into the Internet of Vehicles (IoV) introduces a novel communication paradigm that bridges physical vehicles and their virtual counterparts. By continuously synchronizing sensor data, DTs create real-time digital replicas of vehicles, enabling enhanced perception, predictive intelligence, and global coordination. This talk explores how DTs reshape vehicular communications from three perspectives: intra-twin communication, where vehicles interact with their own DTs for real-time updates; inter-twin communication, where DTs exchange information to overcome the limitations of local sensing; and DT-assisted collaboration, where cloud-edge coordination provides global awareness and computational support. We examine key challenges, including heterogeneous network selection, uncertain relay waiting time, resource competition, privacy protection, and incentive mechanisms for data sharing. To address these, recent advances in deep reinforcement learning, federated transfer learning, and game-theoretic modeling are introduced as enabling solutions. Case studies on task offloading, remote data sharing, and data synchronization demonstrate how DT-based communication can achieve low latency, high reliability, and secure collaboration in dynamic vehicular environments.

Bio. Lin X. Cai (Senior Member, IEEE) received the M.A.Sc. and Ph.D. degrees in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 2005 and 2010, respectively. She is currently an Associate Professor with the Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL, USA. Her research interests include green communication and networking, intelligent radio resource management, and wireless Internet of Things. Dr. Cai received the Postdoctoral Fellowship Award from the Natural Sciences and Engineering Research Council of Canada in 2010, the Best Paper Award from the IEEE Globecom 2011, the NSF Career Award in 2016, and the IIT Sigma Xi Research Award in the Junior Faculty Division in 2019. She is an Associate Editor of IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS and IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, and the co-chair for IEEE conferences.

09:50–10:10

Technical Session 1 · Paper Presentation

Session Chair: Prof. Mushu Li

A Device‑Cooperative‑based Scheme for Federated Learning with Unreliable Communications in IIoT
Tongzhou Yang, Fengye Hu, Qihao Li, Chao Liang, Zhuang Ling (Jilin University, China)
10:10–10:30

Coffee Break

All participants

10:30–11:10

Keynote Speech 2: Building on the Tactile Internet

Prof. Sharief Oteafy (DePaul University, USA) Session Chair: Prof. Qiang John Ye

Abstract & Bio

Abstract. How do you design a communication infrastructure that sets to defy the speed of light? Developing the Tactile Internet (TI) has brought together experts from a myriad of fields, aiming to compensate for the inevitable latency in long-range communication, to deliver tactile and haptic feedback over a global network. In this talk, we present an architecture that promises to deliver Tactile communication in perceived real-time, focusing on design aspects that yield agile operation. We will explore potential areas of development, future challenges in realizing a scalable and reliable TI infrastructure, and the potential impact on industrial processes. This talk will also address tangent developments in IoT infrastructures that aim to improve Tactile Internet Cognizance.

Bio. Dr. Oteafy received his PhD in 2013 from Queen's University, ON, Canada, focusing on adaptive resource management in Next Generation Sensing Networks; introducing the notion of Organic sensor networks that adapt to their environment, and scale with resource augmentation. He is actively engaged in the IEEE Communications Society (ComSoc), and is a Professional member in both IEEE and ACM, having joined them since 2008. Dr. Oteafy is the IEEE ComSoc Ad Hoc and Sensor Networks (AHSN) Chair, and on the ComSoc Tactile Internet standards Working Group. He is the recipient of the 2016 Howard Staveley Teaching Award, and was nominated for both the 2015 AMS Frank Knox Award for Excellence in Teaching and 2014 Queen's Alumni award for Excellence in Teaching, all at Queen's University. He co-authored a book on "Dynamic Wireless Sensor Networks", published by Wiley, presented over 40 peer-refereed publications, and delivered multiple tutorials on the IoT and Next Generation Networks. Dr. Oteafy co-chaired a number of IEEE workshops, in conjunction with IEEE ICC and IEEE LCN conferences, and served on the TPC of numerous IEEE and ACM symposia. He is currently an Associate Editor with IEEE Access, and on the editorial board of Wiley's Internet Technology Letters.

11:10–11:50

Technical Session 2 · Paper Presentations

Session Chair: Prof. Mushu Li

Mitigating Adversarial Attacks in Object Detection using Multi‑Modal Fusion in Autonomous Vehicles
Ifrah Andleeb, Arsalan Hameed, Katsuya Suto, Mitra Mirhassani, Ning Zhang (University of Windsor, Canada; Hokkaido University, Japan)
Task Offloading for Collaborative Inference of LLM Agents at the Network Edge
Yixuan Yang (Case Western Reserve University, USA), Yutong Pan (Peking University, China), Junhe Zhang (Beijing University of Posts and Telecommunications, China), Wanli Ni (Tsinghua University, China)
11:50–12:00

Closing Remarks

Workshop Co‑chairs

General Co‑chairs: Vojislav Mišić (Toronto Metropolitan University, Canada), Tom H. Luan (Xi’an Jiaotong University, China), Qiang (John) Ye (University of Calgary, Canada).