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I am Triet Huynh Minh Le (Lê Huỳnh Minh Triết in Vietnamese). I am a Continuing Lecturer, a.k.a. Assistant Professor, in the School of Computer and Mathematical Sciences at The University of Adelaide (UofA). I am also the lead of the Software Security Intelligence research at the Centre for Research on Engineering Software Technologies (CREST). In 2022, I obtained my Ph.D. from CREST (UofA) under the supervision of Professor M. Ali Babar.
My research interests are Mining Software Repositories and Software Security Intelligence. My research aims at developing high-performing and robust Machine Learning and Deep Learning, and recently Large Language Model based techniques to perform large-scale analysis and assessment of various types of security vulnerabilities collected from multiple security sources (e.g., CVE/NVD), developer's forums (e.g., Stack Overflow) and software repositories (e.g., GitHub). My proposed vulnerability analytics and assessment models help to provide detailed and timely information for security and software practitioners to effectively and efficiently plan and prioritize vulnerability remediation and prevent cybersecurity attacks.
Please contact me via triet.h.le@adelaide.edu.au, Twitter, LinkedIn
Recent News
7/2024: Start the new position as a Continuing Lecturer, a.k.a. Assistant Professor in the School of Computer and Mathematical Sciences at The University of Adelaide. I am tenured now.
6/2024: Three papers, "Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?", "Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?", "Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++", were accepted at the technical track of ESEM 2024. Acceptance rate: 24.5%. Preprints coming soon.
6/2024: Our paper "Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration", authored by our PhD student Ali K. Arani with me, Mansooreh Zahedi, and M. Ali Babar, was accepted in IEEE Access.
6/2024: Invited to be a PC member of the technical track of SANER 2025. Please consider submitting your work.
1/2024: Our paper "Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study," authored by me, Xiaoning Du, and M. Ali Babar, was accepted at MSR 2024. Acceptance rate: 29%. Pre-print.
CV_Triet Huynh Minh Le.pdf
