IHCUS-AI 2026

1st International Workshop on Intelligent Human-Centric Ubiquitous Systems for Agriculture and Industry

Held in conjunction with the 17th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2026)

• Location: Almaty, Kazakhstan
• Date: October 28–30, 2026
• Submission system: https://easychair.org/my/conference?conf=ihcusai2026

Scope and Motivation

The 1st International Workshop on Intelligent Human-Centric Ubiquitous Systems for Agriculture and Industry (IHCUS-AI 2026) aims to bring together researchers, practitioners, and industry stakeholders working at the intersection of ubiquitous computing, artificial intelligence, cyber-physical systems, human-centered design, and real-world operational environments.

AI-enabled cyber-physical systems are increasingly supported by IoT sensor networks, edge and cloud computing, pervasive infrastructures, multimodal sensing, digital twins, extended reality, collaborative robotics, and predictive analytics. These technologies are transforming industrial and agricultural contexts by enabling more adaptive, data-driven, and intelligent decision-making.

However, the successful deployment of such systems depends not only on technical performance, but also on their ability to support human expertise, situational awareness, explainability, trust, safety, sustainability, and operational resilience. In domains such as smart manufacturing, quality inspection, logistics, precision agriculture, agrifood supply chains, and field monitoring, highly accurate AI models may still fail to produce practical value if their outputs are not understandable, contestable, context-aware, or integrated into expert workflows.

IHCUS-AI 2026 focuses on intelligent, human-centric ubiquitous systems for Industry 5.0 and Smart/Digital Agriculture. The workshop welcomes original research, work-inprogress papers, system prototypes, empirical studies, case studies, position papers, and industrial experiences that explore how human-in-the-loop AI, pervasive sensing, adaptive interfaces, and intelligent infrastructures can support decision-making in complex agricultural and industrial settings.