Track Description
AI4IS – Artificial Intelligence for Industry and Society aims to bring together researchers and practitioners working on Artificial Intelligence methods, systems, and applications that address real-world challenges in industrial and societal contexts. The track focuses on how AI can support smarter, more sustainable, and more human-centred environments, ranging from industrial production and logistics to urban services, public-sector innovation, mobility, energy, and quality of life. The track welcomes contributions that combine methodological innovation with practical relevance, particularly in scenarios where AI helps improve efficiency, resilience, sustainability, decision support, and service intelligence. AI4IS is especially interested in interdisciplinary work that connects AI with Industry 4.0/5.0, smart infrastructure, cyber-physical systems, IoT ecosystems, sustainability goals, and data-driven public and industrial services.
Topics of Interest
- AI for industrial systems and smart manufacturing
- Industry 4.0 and Industry 5.0
- AI for sustainability and the circular economy
- Predictive maintenance and anomaly detection
- AI-enabled cyber-physical systems
- Intelligent robotics and automation
- Industrial IoT and edge AI
- AI for production optimisation and quality control
- AI for energy efficiency and emissions reduction
- AI for logistics and supply chains
- Digital twins and simulation supported by AI
- Data analytics and decision support for industry
- AI for smart cities and smart communities
- AI for mobility and transportation systems
- AI for public-sector innovation and governance
- AI for smart buildings and infrastructures
- AI for health, wellbeing, and assisted living
- Responsible, trustworthy, and human-centred AI
- Explainable AI in industrial and societal applications
Track Chairs
- Filipe Portela - University of Minho
- Sherin M. Moussa - Université Française d'Égypte
- Teresa Guarda - Universidad Estatal Península de Santa Elena