Special Sessions
Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference. The proceedings are abstracted/indexed in DBLP, Google Scholar, EI-Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, Mathematical Reviews, SCImago, Scopus and zbMATH. CCIS volumes are also submitted for the inclusion in ISI Proceedings.
SYMPOSIA/SPECIAL SESSIONS LIST
IoAT 2026, Special Session on Internet of AI Things (IoAT): Intelligent, Edge-Aware, and Autonomous Sensor Ecosystems
Chair(s): Partha Pratim Ray and Shuai Li
Special Session on Internet of AI Things (IoAT): Intelligent, Edge-Aware, and Autonomous Sensor Ecosystems -
IoAT
2026
Paper Submission:
May 22, 2026
Authors Notification:
June 8, 2026
Camera Ready and Registration:
June 17, 2026
Scope
The Internet of AI Things (IoAT) represents a paradigm shift beyond conventional IoT by embedding artificial intelligence directly into sensing, communication, and decision-making layers of distributed systems. This special session aims to explore the design, deployment, and evaluation of intelligent sensor ecosystems that integrate edge AI, localized large language models, and autonomous reasoning capabilities. Emphasis will be placed on resource-constrained environments, real-time inference, privacy-preserving architectures, and hybrid edge-cloud coordination. The session will bring together researchers and practitioners working on next-generation sensing infrastructures where cognition is natively embedded within devices. It seeks to address challenges in scalability, energy efficiency, trust, and adaptive intelligence, thereby shaping the future of pervasive AI-driven sensor networks.