IHCUS-AI 2026: 1st International Workshop on Intelligent Human-Centric Ubiquitous Systems for Agriculture and Industry Almaty, Kazakhstan, June 28-30, 2026 |
| Conference web page | https://visionxairy.github.io/workshops/ihcus-ai-2026/ |
| Submission link | https://easychair.org/conferences/?conf=ihcusai2026 |
IHCUS-AI 2026IHCUS-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
- Dates: October 28-30, 2026
- Workshop website: https://visionxairy.github.io/workshops/ihcus-ai-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-in-progress 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.
Topics of Interest
Topics of interest include, but are not limited to:
Human-Centric AI and Decision Support
- Human-in-the-loop AI for industrial and agricultural decision-making
- Explainable, interpretable, and contestable AI in operational environments
- Human-centered design of AI-enabled cyber-physical systems
- Trust, transparency, accountability, and user acceptance of intelligent systems
- Cognitive load, workload, attention, and situational awareness in AI-supported work
- Decision support systems for operators, technicians, agronomists, and domain experts
Ubiquitous and Pervasive Systems
- IoT, Industrial IoT, and agricultural IoT infrastructures
- Context-aware and adaptive ubiquitous systems
- Distributed sensing and pervasive data collection in industrial and agricultural environments
- Mobile and wearable computing for field, factory, and logistics operations
- Smart environments for industrial, agriculture and agrifood systems Industry 5.0 and Smart Manufacturing
- Human-centric approaches to Industry 5.0
- AI-supported manufacturing, inspection, maintenance, and quality control
- Collaborative robotics and human-robot collaboration
- Operator assistance systems and intelligent workspaces
- XR-based guidance, training, and remote assistance in industrial settings
- Digital twins for production systems, operators, assets, and processes
- Safety, ergonomics, and resilience in AI-enabled industrial environments
Smart and Digital Agriculture
- AI, IoT, and edge computing for precision agriculture
- Smart farming, field monitoring, crop monitoring, and livestock monitoring
- Decision support for agronomists, farmers, and agricultural technicians
- Digital twins for agricultural systems (e.g., crops, farms, agrifood supply chains)
- Remote sensing, computer vision, and multimodal data fusion for agriculture
- Sustainable, resilient, and human-centered agrifood systems
- Intelligent systems for biodiversity, environmental monitoring, and resource optimization
Multimodal Interaction, XR, and Digital Twins
- Extended reality interfaces for agriculture and industry
- Multimodal interaction using speech, gesture, gaze, biosignals, and wearables
- Adaptive interfaces for expert workflows
- Human digital twins and operator-centered digital twins
- Visual analytics and immersive analytics for operational decision-making
- Digital twin-based simulation, prediction, and what-if analysis
Evaluation, Deployment, and Responsible Innovation
- Field studies, living labs, pilot deployments, and industrial case studies
- Usability, user experience, accessibility, and technology acceptance studies
- Evaluation methods for human-centered AI in real-world environments
- Data quality, uncertainty, robustness, and model drift in operational settings
- Privacy, cybersecurity, ethics, and governance of pervasive AI systems
- Sustainability, resilience, and social impact of ubiquitous AI in agriculture and industry
Types of Contributions
We invite submissions including, but not limited to:
- Full research presenting mature research results
- Papers presenting focused contributions
- Solid Work-in-progress papers
- Position papers and conceptual frameworks
- System, prototype, and tool papers
- Empirical studies, user studies, and evaluation papers
- Case studies from industrial, agricultural, or agrifood contexts
- Lessons learned from real-world deployments
Submission Guidelines
Submitted papers must be original and must not have been previously published or be under review elsewhere.
Papers must follow the Elsevier Procedia Computer Science format used by EUSPN 2026. Workshop papers are limited to 6 pages, including figures, tables, and references.
All submissions must be written in English and submitted in PDF format through EasyChair: https://easychair.org/my/conference?conf=ihcusai2026
Each submission will be peer-reviewed by members of the workshop Technical Program Committee. The review process will consider originality, relevance to the workshop scope, technical quality, methodological soundness, clarity of presentation, and potential impact for ubiquitous systems, Industry 5.0, and Digital Agriculture.
At least one author of each accepted paper must register for the conference and present the paper at the workshop.
Publication
Accepted and registered workshop papers will be included in the EUSPN 2026 proceedings, published by Elsevier in the open-access Procedia Computer Science series, according to the publication rules of the main conference.
Selected high-quality papers may be recommended for further extension and consideration in journal special issues associated with EUSPN 2026, subject to additional review and revision.
Important Dates
- Paper submission deadline: July 15, 2026
- Author notification: August 21, 2026
- Final manuscript/camera-ready submission: September 18, 2026
- Workshop date: October 28-30, 2026
All deadlines are AoE unless otherwise specified.
Workshop Chairs
- Rui Neves Madeira, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portugal
- Pedro Albuquerque Santos, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portugal
- Rui Pedro Porfírio, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portugal
Technical Program Committee
- Patricia Macedo, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portugal
- Paula Miranda, Polytechnic University of Setúbal, Portugal
- Octavian Postolache, Instituto de Telecomunicações IT-IUL ISCTE-Instituto Universitário de Lisboa, Lisboa, Portugal
- André Antunes, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portuga
- Rui Nóbrega, NOVA LINCS-NOVA University of Lisbon, Portuga
- Rui Neves Madeira, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portuga
- Pedro Albuquerque Santos, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portugal
- Rui Pedro Porfírio, Polytechnic University of Setúbal & NOVA LINCS-NOVA University of Lisbon, Portugal
Contact
- For questions regarding the workshop, please contact: rui.madeira@estsetubal.ips.pt
- Workshop website: https://visionxairy.github.io/workshops/ihcus-ai-2026/