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I am Triet Huynh Minh Le (Lê Huỳnh Minh Triết in Vietnamese), currently a Research Associate at the Centre for Research on Engineering Software Technologies (CREST) in the School of Computer Science at The University of Adelaide (UofA). 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 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
11/2023: The project under my supervision on "Update-induced impact estimation and recovery recommendation system" won the "Innovative Software Engineering Award" at Ingenuity 2023.
9/2023: "The 2nd International Workshop on Software Vulnerability Management" (SVM 2024) organized by me with Prof. M. Ali Babar & Prof. Awais Rashid has been accepted to be co-located with ICSE 2024.
7/2023: Invited to be a PC member of the technical track of MSR 2024.
7/2023: Invited to be a PC member of the technical track of SANER 2024.
2/2023: The paper "SoK: Machine Learning for Continuous Integration" led by our PhD student, Ali Kazemi Arani, accepted for publication in the Workshop on Cloud Intelligence/AIOps 2023 at ICSE 2023 (CORE A*). Preprint coming soon.
1/2023: Invited to be a PC member of the SCORE track of ICSE 2023.
12/2022: Invited to be a PC member of the Demo track of ICSE 2024.
