Submit Your Abstract
FOMLIG 2027 welcomes original contributions presenting advances, applications, case studies, and emerging research in machine learning, artificial intelligence, and data-driven approaches in geotechnical engineering.
Abstract Submission
Authors must submit an abstract describing the objectives, methodology, key findings or expected outcomes, and relevance of the work to the themes of FOMLIG 2027. Abstracts must be prepared using the official conference template. The abstract may be up to 500 words.
Submission Deadline: 15 March 2027
Abstract Template
Official Microsoft Word template for FOMLIG 2027 abstract preparation. Download, complete, and attach to your submission email.
Authors of accepted abstracts who present their work at the workshop will have the opportunity to submit a full paper for consideration for publication in a journal special issue or as a book chapter published by Elsevier, Springer, CRC Press, etc.
How to Submit
All abstracts must be submitted by email to FOMLIG2027@uts.edu.au.
FOMLIG2027@uts.edu.auEmail Subject & File Naming
Email subject:
Word file name:
Example:
Submit a Special Session Proposal
Researchers, academics, and industry professionals are invited to propose a Special Session for FOMLIG 2027. Special Sessions should focus on a specific emerging, specialised, or industry-relevant topic related to machine learning, artificial intelligence, geotechnical engineering, tunnelling, underground construction, or related fields.
Submission Deadline: 15 March 2027
Submission Instructions
- Download the official Special Session Proposal Form using the button below.
- Complete all required sections of the form.
- Identify the Lead Proposer / Primary Contact responsible for communicating with the Organising Committee.
- Save the completed form as: FOMLIG2027_SpecialSession_LeadProposerSurname.docx
- Email the completed Word file to FOMLIG2027@uts.edu.au
Suggested Email Subject
Special Session Proposal Form
Official Microsoft Word template for FOMLIG 2027 Special Session proposals. Download, complete all sections, and submit by email.
Submit a Pre-Workshop Short Course Proposal
Academics, researchers, technical specialists, and industry professionals are invited to propose a Pre-Workshop Short Course for FOMLIG 2027. Proposed courses should provide practical, technical, or research-focused training relevant to machine learning, artificial intelligence, geotechnical engineering, tunnelling, underground construction, or related areas.
Submission Deadline: 15 March 2027
Submission Instructions
- Download the official Pre-Workshop Short Course Proposal Form using the button below.
- Complete all required sections of the form.
- Identify the Lead Proposer / Primary Contact responsible for communicating with the Organising Committee.
- Save the completed form as: FOMLIG2027_ShortCourse_LeadProposerSurname.docx
- Email the completed Word file to FOMLIG2027@uts.edu.au
Suggested Email Subject
Short Course Proposal Form
Official Microsoft Word template for FOMLIG 2027 Pre-Workshop Short Course proposals. Download, complete all sections, and submit by email.
Publication Opportunities
Selected abstracts may be invited to submit an extended full paper. These papers may be considered for publication in prestigious peer-review journals or as book chapters published by well-established international publishers such as Springer and Elsevier.