The organizing committee of the 4th Workshop on the Future of Machine Learning in Geotechnics (4FOMLIG) is pleased to announce two international student competitions associated with the upcoming workshop, which will be held in Seoul, South Korea, from 26-28 August 2026.
The competitions provide students and young researchers with valuable opportunities to apply artificial intelligence (AI) and data-driven approaches to practical geotechnical engineering problems while engaging with the international research community in smart construction and digital geotechnics.
Further information about the workshop is available at: https://fomlig2026.com
1. TBM Motion Prediction Challenge
The TBM Motion Prediction Challenge focuses on predictive modelling of tunnel boring machine (TBM) yaw and pitch using simulation-based datasets generated by Shimizu Corporation. Participants are invited to develop robust prediction models using advanced machine learning and data-driven techniques.
Faculty Advisor:
Dr. Stephen Wu
Institute of Statistical Mathematics, Japan
Important Dates:
- Registration Deadline: 15 June 2026
- Final Submission Deadline: 15 July 2026
Competition details, rules, and registration information are available at:
https://tbmchallenge-btq5crbu.manus.space/
2. KAJIMA-FOMLIG AI Challenge
The KAJIMA-FOMLIG AI Challenge aims to provide students with hands-on experience in developing practical AI-based solutions for geotechnical engineering applications.
The challenge topics include:
- Data extraction from geotechnical pile foundation data
- Development of methods for identifying expansive soils
Faculty Advisor:
Dr. Takayuki Shuku
Tokyo City University, Japan
Important Dates:
- Registration Deadline: 30 June 2026
- Final Submission Deadline: 27 July 2026
Detailed information regarding the challenge objectives, participation rules, and registration procedures is provided in the official competition document. (https://shorturl.at/v9yFk)
Cash awards will be presented to the winning teams. Award recipients will also have the opportunity to present their work during the 4FOMLIG Workshop and participate in the official award ceremony.
Both competitions offer excellent platforms for students to showcase their skills, exchange ideas, and connect with global researchers working in AI-enabled geotechnical engineering and smart construction.
Students and young professionals are strongly encouraged to participate.
