COMPSAC 2026 Symposium on Smart IoT Systems & Applications (SIoT)

Goal of the Symposium:
This symposium aims to unite researchers and industry experts to explore cutting-edge architectures, algorithms, and real-world applications of agentic AI integrated with IoT systems. By tackling critical challenges such as scalability, energy efficiency, and security, the symposium seeks to drive the evolution of next-generation smart, connected ecosystems. The primary goal is to advance state-of-the-art research in the design, development, and analysis of problems related to smart and sustainable Artificial Intelligence of Things (SIoT) systems and applications. Discussions will focus on strategies to enhance the intelligence, efficiency, and sustainability of SIoT systems. This symposium aligns seamlessly with the interests of the COMPSAC community, as it addresses a rapidly evolving and highly relevant area of technology. It will distinguish itself by facilitating constructive dialogue between academic researchers and industry professionals, promoting innovation in the key domains of smart SIoT applications.

Symposium theme:
The synergy between Agentic Artificial Intelligence (AI) and the Internet of Things (IoT) has opened up new avenues for creating autonomous, adaptive, and context-aware systems. Agentic AI, characterized by goal-driven, self-directed agents, brings the ability to plan, reason, and act without constant human oversight. When combined with IoT’s real-time data streams from interconnected devices and sensors, these agents can make intelligent decisions, automate processes, and optimize resources in dynamic environments. The emergence of sustainable IoT-driven scientific research marks a critical evolution in how we monitor and respond to human daily activities. This paradigm leverages cutting-edge technologies—including smart objects, intelligent sensing, cloud and quantum computing, and big data analytics—to form resilient, efficient, and environmentally conscious systems.

The proliferation of IoT devices embedded with smart sensors has triggered a surge in data generation, particularly from wearable technologies that are integral to human-in-the-loop Cyber-Physical Systems (CPS). In this evolving ecosystem, Agentic AI plays a pivotal role by enabling autonomous, context-aware decision-making at the edge. These intelligent agents interact dynamically with their environment, adapting behaviors and actions in real time to optimize outcomes without constant human oversight. At the same time, Generative AI enhances the system’s ability to synthesize complex insights from multimodal sensor data—generating predictive models, simulations, and personalized responses that add cognitive depth to IoT systems.

As digital interactions increasingly shape both professional and personal dimensions of human life, the Internet of Things has become a fundamental layer for enabling “anytime, anywhere” communication and computation. Smart devices, through embedded intelligence and connectivity, not only interface with humans but also autonomously communicate with one another—forming decentralized, cooperative networks that deliver timely, context-sensitive services. The vision of a sustainable embedded smart world is built on the pervasive integration of miniaturized devices—such as sensors, actuators, smartphones, and u- things—that collectively form adaptive, energy-efficient environments. These devices collaborate wirelessly to monitor, analyze, and respond to physical-world changes in real time, reducing system waste and improving long-term viability.

The convergence of sustainable IoT with Agentic AI and Generative AI opens new frontiers in scientific inquiry. It enables the creation of intelligent, low-power, self-managing systems that not only perform critical monitoring and analysis tasks but also do so with minimal environmental impact. At the core of this shift is the rise of the Internet of Cyber-Physical Systems (IoCPS)—a framework that links mobile technology, embedded infrastructure, and smart devices with end-users in a seamless, adaptive loop. Together, these advancements form the foundation of the Mobile and Embedded Sustainable IoT, a field poised to revolutionize future software and hardware systems. By embedding intelligence directly into real-world interactions, this integrated approach enhances the quality of life for future generations while addressing the pressing need for ecological and technological sustainability.

Scope of the symposium:
The aim of this symposium is thus to bring together practitioners and researchers from both academia and industry in order to have a forum for discussion and technical presentations on the recent advances in the area of smart and sustainable IoT. It furthermore serves as a forum for the research community to discuss open issues, novel solutions and the future development of IoT systems and applications. Submissions could consist of theoretical and applied research in topics including, but not limited to:

1)System architectures for the IoT targeted to application scenarios,
2) Wireless Energy Harvesting for the Internet of Things,
3) Security and privacy in embedded IoT scenarios,
4) Interoperability of protocols for IoT,
5) Context awareness in the smart and sustainable IoT,
6) Experiences in building smart wearable IoT platforms,
7) Embedded systems and applications built using IoT,
8) Enabling technologies and standards for the IoT,
9) Routing protocol for low power and lossy networks (RPL) in IoT,
10) Power consumption and optimization in embedded IoT,
11) Fault-tolerance and reliability in embedded IoT applications,
12) Middleware and platforms for embedded IoT applications,
13) Social and organizational aspects on smart IoT systems development,
14) University education and industrial training for smart IoT systems development, and
15) Integration of Agentic AI and large language models (LLMs) in smart IoT systems.

The symposium seeks original, unpublished high impact research manuscripts on all topics related to the development of embedded IoT. Papers will be selected on the basis of novelty, technical merit, presentation effectiveness and impact of results.