The Internet of Things (IoT) is evolving into a pervasive, intelligent, and interconnected ecosystem where data-driven AI enables adaptive, secure, and sustainable decision-making. Artificial Intelligence — including Deep Learning, Explainable and Trustworthy AI, and more recently Large Language Models (LLMs) — is transforming the design and operation of IoT and Cyber-Physical Systems (CPS), enabling distributed intelligence at the edge, in the cloud, and across hybrid environments.
This special session aims to explore emerging challenges, opportunities, and methodologies at the intersection of AI and IoT, focusing on trustworthiness, scalability, sustainability, and cross-domain applicability. Particular attention is given to federated and edge learning, energy-efficient AI, XAI, and the role of LLMs and Generative AI in making IoT systems more adaptive, explainable, and capable of simulating real-world processes. We also encourage submissions from industrial, civil, and process engineering domains, where AI-enhanced IoT is revolutionizing monitoring, control, and predictive maintenance.