The rapid convergence of Artificial Intelligence and the Internet of Things is reshaping how intelligent systems are designed, deployed, and operated at scale. ICCIIoT 2026 focuses specifically on this intersection — bringing together researchers, engineers, and practitioners working on AI-driven intelligence for connected IoT environments.

As IoT networks grow in scale and complexity, classical approaches to data processing, security, and resource management are increasingly inadequate. Machine learning and deep learning are now central to building IoT systems that can perceive, reason, and act autonomously — from edge devices operating with tight energy budgets to large-scale industrial deployments generating continuous streams of heterogeneous data.

This edition of ICCIIoT narrows its focus to the most pressing and productive research directions at the AI–IoT frontier: intelligent analytics, federated and edge learning, privacy-preserving inference, autonomous adaptation, and AI-enabled applications in healthcare, smart cities, and industrial settings. We particularly encourage work that addresses real deployment constraints — latency, bandwidth, energy, and security — rather than idealized laboratory conditions.

We welcome original, unpublished contributions spanning theory, system design, empirical studies, and case studies. Works-in-progress and conceptual explorations that advance the field are equally encouraged.