This Topical Collection focuses on cutting-edge research that integrates artificial intelligence with cyber-physical systems (CPS), intelligent infrastructure, and societal-scale technologies. As digital and physical worlds converge, AI is increasingly essential for enabling autonomy, resilience, and sustainability in complex engineered systems such as smart grids, intelligent transportation networks, healthcare technologies, and urban infrastructures. The collection invites contributions on AI-driven modeling, control, optimization, sensing, decision-making, and system intelligence within CPS and societal applications. Topics may include machine learning for smart cities, AI-based energy management, autonomous and connected mobility, intelligent environmental monitoring, resilient infrastructures, and socio-technical systems that leverage AI for large-scale impact. Emphasis will be placed on work supporting the United Nations Sustainable Development Goals through innovations that promote clean energy, industrial modernization, sustainable communities, and improved societal well-being. Both theoretical advances and real-world deployments are welcome.

This Collection supports and amplifies research related to SDG 7, SDG 9 and SDG 11.

Keywords: Cyber-Physical Systems (CPS); Smart Cities; Resilient Infrastructures; Artificial Intelligence; Computational Biology; Machine Learning; Human-machine Interactions; Big Data

AI-Enhanced Cyber-Physical and Societal Systems | Springer Nature Link