Scholar

Triet H. M. Le

Google Scholar ID: 6nlR-XIAAAAJ

Lecturer (Assistant Professor), University of Adelaide

Mining software repositoriesSoftware security intelligenceMachine learningData mining

Citations & Impact

All-time

Citations

809

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

May 2025: Paper "Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction" (with Hanoi University of Science and Technology, led by Prof. Thang Huynh-Quyet) accepted at ICSME 2025 research track (acceptance rate: 6.2%)
January 2025: Paper "LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations" (led by PhD student Ziyang Ye) accepted at MSR 2024 technical track (acceptance rate: 27.3%)
June 2025: Awarded Early Career Seed Research Grant 2025 as Chief Investigator from the School of CMS, University of Adelaide
Co-Chair of the Artefacts/Models (AI models and/or Data) track at EASE 2026
PC member for research tracks of EASE 2025 and ICSE 2026

Background

Continuing Lecturer (Assistant Professor) at the School of Computer and Mathematical Sciences, The University of Adelaide
Lead of Software Security Intelligence research at the Centre for Research on Engineering Software Technologies (CREST)
Research interests: Mining Software Repositories and Software Security Intelligence
Develops high-performing and robust Machine Learning, Deep Learning, and Large Language Model-based techniques for large-scale analysis of security vulnerabilities from sources like CVE/NVD, Stack Overflow, and GitHub
Aims to provide timely and detailed vulnerability insights to help practitioners prioritize remediation and prevent cyberattacks

Co-authors

19 total