5th International Symposium on Machine Learning & Big Data in Geoscience (5ISMLG)

The 5th International Symposium on Machine Learning & Big Data in Geoscience (5ISMLG) will be held during 10-13 May 2026 at The Hong Kong University of Science and Technology (HKUST). ISMLG is the flagship conference series of the TC309 Machine Learning under the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE). It serves 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 5ISMLG will provide an invaluable opportunity to foster interdisciplinary collaboration, promote pioneering research, and bridge the gap between machine learning methodologies and real-world geoengineering challenges.

The conference covers a wide range of topics, including but not limited to:

• Machine Learning for Geoscience  and Geoengineering
• Big Data Analytics for Geoscience  and Geoengineering
• Geotechnical/Geological Database
• Large Language Models (LLMs) for Geoscience and Geoengineering
• Physics-Informed Machine Learning for Geoscience  and Geoengineering
• Data-driven Site Characterization
• Machine Learning of Monitoring Data in Geotechnical and Geological Engineering
• Machine Learning and AI for Tunnel and Underground Engineering
• Machine Learning and AI for Risk Assessment and Management of Geohazards (e.g., Landslides, Earthquakes, Floods)
• Machine Learning and AI for Geomechanics
• Machine Learning and AI for Climate Changes and Sustainability
• Digital Twins and Smart Geosystems
• AI Ethics, Interpretability, and Trustworthiness in Geoscience and Geoengineering

We are delighted to welcome the geotechnical machine learning community to 5ISMLG at the beautiful campus of HKUST and look forward to seeing you in Hong Kong.

Yu Wang
Chair of 5ISMLG