The 3rd Workshop on Synergizing Digital Twins and Pervasive Intelligence for Next-Generation IoT/IoV

As the Internet of Things (IoT) and the Internet of Vehicles (IoV) evolve toward highly autonomous, hyper-connected, and intelligence-driven ecosystems, future networking, computing, and control infrastructures must support massive connectivity, high mobility, heterogeneous services, and ultra-reliable low-latency communications. These requirements span diverse IoT/IoV scenarios, including connected and autonomous vehicles, intelligent transportation systems, roadside and aerial sensing, smart infrastructure, and edge-cloud collaborative environments. However, such systems face fundamental challenges arising from dynamic large-scale topologies, time-varying wireless conditions, intermittent connectivity, spectrum scarcity, ultra-dense deployments, and stringent safety and latency demands for mission-critical applications. Digital twins (DTs) have emerged as a powerful paradigm for managing the complexity of next-generation IoT/IoV systems by providing virtual representations of physical entities, networks, and processes. By continuously reflecting system states and environmental dynamics, DTs enable real-time monitoring, predictive analysis, and what-if evaluation across physical and virtual domains. Meanwhile, pervasive intelligence powered by artificial intelligence (AI) and machine learning introduces adaptive learning, reasoning, and autonomous decision-making capabilities distributed across devices, vehicles, edge nodes, and cloud platforms. The synergy between DTs and AI is particularly transformative. DTs provide rich, context-aware data and models for AI-driven training and inference, while AI enhances DTs through model adaptation, behavior prediction, anomaly detection, and automated control. This tight DT-AI coupling enables proactive and autonomous IoT/IoV operations, including intelligent resource management, context-aware routing and scheduling, adaptive network slicing, cooperative perception and control, predictive maintenance, and resilient self-optimization, key enablers for future 6G-enabled IoT/IoV systems.

This workshop aims to bring together researchers and practitioners to explore advanced theories, system designs, and experimental implementations that synergize digital twins and pervasive intelligence for next-generation IoT/IoV. Emphasis will be placed on AI-native architectures, edge–cloud intelligence, 6G-enabled platforms, and practical testbeds, fostering interdisciplinary collaboration and accelerating innovation across IoT, IoV, and intelligent transportation ecosystems. Topics of interest include, but are not limited to: