News
Date: May 10–13, 2026
The 5th International Symposium on Machine Learning & Big Data in Geoscience (5ISMLG) was successfully held from May 10 to 13, 2026 at The Hong Kong University of Science and Technology (HKUST). ISMLG is the flagship conference series of TC309 (Machine Learning) under the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE).
The symposium served as a premier platform for academic researchers, practitioners, and industrial professionals to exchange innovative ideas, explore cutting-edge advancements, and showcase the latest applications of machine learning and big data analytics in geoscience and geoengineering. The event fostered interdisciplinary collaboration, promoted pioneering research, and bridged the gap between machine learning methodologies and real-world geoengineering challenges.
Topics covered included machine learning and big data analytics for geoscience and geoengineering, geotechnical/geological databases, large language models (LLMs), physics-informed machine learning, data-driven site characterization, machine learning of monitoring data, AI for tunnel and underground engineering, AI for risk assessment and management of geohazards, AI for geomechanics, AI for climate change and sustainability, digital twins and smart geosystems, and AI ethics, interpretability, and trustworthiness in geoscience and geoengineering.