This session explores the emergence of intelligent geosystems in engineering geology practice, driven by advances in machine learning, remote sensing integration, and multi-hazard modeling. It highlights the use of AI for susceptibility mapping and the development of digital twins for geological infrastructure. Contributions addressing geological constraints in urban underground space planning and data-driven approaches to site investigation are particularly encouraged. The session also welcomes studies on the engineering geology of critical mineral resources, with particular emphasis on lithium and rare-earth deposits. By bringing together innovations across hazards, infrastructure, and resources, this session aims to foster integrated, scalable solutions to complex earth challenges.