Resources

▪ Machine learning in geotechnics dialogue (MLIGD)

7MLIGD Report: Report for the seventh machine learning in geotechnics dialogue (7MLIGD) on “trustworthy data-centric geotechnics”, 16th October 2025, Florence, Italy

6MLIGD Report: Report for the Sixth Machine Learning in Geotechnics Dialogue (6MLIGD) on “ML revolution in geotechnics: transforming practice and education for future engineers”

5MLIGD Report: Report for the Fifth Machine Learning in Geotechnics Dialogue (5MLIGD) on “Challenges and Experience in Geo-Data Sharing”

4MLIGD Report: Report for ISSMGE TC309/TC304/TC222 and ASCE Geo-Institute Risk Assessment and Management Committee Fourth Machine Learning in Geotechnics Dialogue on “Machine Learning Supremacy Projects”

3MLIGD Report: Report for ISSMGE TC309/TC304/TC222 Third ML dialogue on “Data-Driven Site Characterization (DDSC)”

2MLIGD Report: ISSMGE TC304/309/210 Machine Learning Dialogue for Geotechnics 2019

MLIGD Report: Pre-Workshop Panel Discussion Session, The 2nd International Workshop on Machine Learning and Big Data in Geoscience, Shanghai, China

 

▪ FOMLIG Council Lectures 2025 & 3FOMLIG Short Course: State-of-the-art in Data Centric Geotechnics

Improving site recognition using data-driven site demarcation (Prof. Kok-Kwang PHOON)

Role of databases in data-centric geotechnics (Prof. Jianye CHING)

Accelerating problem-solving in geotechnical engineering with LLM-based agentic AI (Prof. Stephen WU)

Application of LLM to landslide investigations (Prof. Andy YF LEUNG)

Click here to access the recorded videos.

 

▪ 3FOMLIG Lectures

Opening Lecture: When Florence dared: visions, intelligences, and technologies that shaped history (Dr. Natacha FABBRI)

GEO-AI Distinguished Lecture: Rapid advances in digital technology are bringing revolutionary changes to the construction industry (Mr. Yoshihiko RIHO)

Keynote Lecture: Machine learning-powered nowcasting of rain-induced landslides and their impact (Prof. Limin ZHANG)

Keynote Lecture: A tutorial on differential privacy and its potential application in geotechnical engineering (Dr. Takao MURAKAMI)

Industry Keynote: Generation of synthetic geotechnical data from geophysical ground model data (Dr. Dongfang QU)

Bright Spark Lecture: Data assimilation and machine learning in braced excavations (Dr. Yuanqin TAO)

Bright Spark Lecture: Machine Learning in Geotechnical Engineering: Opportunity or Overstated Hype? (Dr. Ze Zhou WANG)

Bright Spark Lecture: Data-driven geotechnical design - Bridging the gap between research and practice (Dr. Monica LÖFMAN)

Click here to access the recorded videos.

 

▪ TC304 Machine Learning Reference List

Click here to the reference list page.

 

▪ BOOK SERIES：Challenges in Geotechnical and Rock Engineering

Click here to the book series.

 

▪ TC304 Databases

Click here to go to the database page.