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.

Topics of interest include, but are not limited to:

AREA 1: CORE AI–IOT INTEGRATION

- Distributed, Federated, and Continual Learning for IoT Systems
- Edge AI and TinyML for Real-time and Energy-efficient Intelligence
- AI-driven Security, Privacy, and Resilience in IoT Networks
- Digital Twins and Predictive Maintenance for Smart Environments
- AI–IoT Integration for Environmental and Urban Sustainability

AREA 2: EMERGING AI PARADIGMS

- Explainable and Trustworthy AI in IoT and CPS
- Large Language Models for Real-world IoT and Multimodal Environments
- Generative AI for Simulation, Synthetic Data, and System Optimization
- Graph Neural Networks for Complex System Modeling
- Reinforcement Learning for Adaptive and Autonomous IoT Agents

AREA 3: CROSS-DOMAIN AND APPLIED INTELLIGENCE

- AI and IoT in Smart Cities, Civil Engineering, and Environmental Monitoring
- AI and IoT for Industrial, Process, and Chemical Engineering
- Human-centered and Emotion-aware IoT Applications
- Integration of AI, IoT, and Blockchain for Secure Ecosystems
- Energy-aware AI and Sustainable IoT Infrastructures