Announcing AI4EIoT-2026: Special Session on Artificial Intelligence for Emerging IoT Systems

I’m pleased to announce that our Special Session AI4EIoT-2026 on Artificial Intelligence for Emerging IoT Systems
has been officially accepted at IoTBDS 2026, which will take place in Benidorm, Spain, from May 21–23, 2026.

This new edition continues the tradition of the previous AI4IoT sessions (2020–2025),
expanding its focus to include LLMs, Explainable AI, and Generative AI for the design of trustworthy, scalable, and domain-aware IoT systems.

Scope

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

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

📅 Important Dates

Official Website and Submission

AI4EIoTs @ IoTBDS 2026

We warmly invite researchers and practitioners to contribute their latest results,
visionary ideas, and case studies.

Submissions are welcome through the IoTBDS - AI4EIoT submission portal.

(Organized by Lelio Campanile (It’s me!), University of Campania “Luigi Vanvitelli”, and Fiammetta Marulli, University of Campania “Luigi Vanvitelli”.)