Dr Triet Le
Lecturer
School of Computer Science and Information Technology
College of Engineering and Information Technology
Eligible to supervise Masters and PhD - email supervisor to discuss availability.
I am currently a continuing Lecturer, a.k.a. Assistant Professor, and a Software Security lead in the Centre for Research on Engineering Software Technologies in the School of Computer and Mathematical Sciences at The University of Adelaide, Australia, where I also obtained my PhD. My research interests are but not limited to Software Security Analytics and Mining Software Repositories. My current work focuses on developing Machine Learning and Deep Learning techniques for detecting, analysing, and mitigating software vulnerabilities, aiming to proactively prevent cyber-attacks and ensure a secure digital economy. My latest profile can be found at https://trietle.net/.
My research aims to bring to design, develop, and evaluate smart solutions based on state-of-the-art Artificial Intelligence technologies such as machine learning and deep learning to automate and distill recommendations on secure software engineering.
Specifically, my PhD thesis advances the field of software security by providing knowledge and automation support for software vulnerability assessment using data-driven approaches. Software vulnerability assessment provides important and multifaceted information to prevent and mitigate dangerous cyber-attacks in the wild. The key contributions include a systematisation of knowledge, along with a suite of novel data-driven techniques and practical recommendations for researchers and practitioners in the area. The thesis results help improve the understanding and inform the practice of assessing ever-increasing vulnerabilities in real-world software systems. This in turn enables more thorough and timely fixing prioritisation and planning of these critical security issues.
| Date | Position | Institution name |
|---|---|---|
| 2024 - ongoing | Lecturer | University of Adelaide |
| 2022 - ongoing | Research Associate | University of Adelaide |
| 2022 - 2022 | Research Assistant | University of Adelaide |
| Language | Competency |
|---|---|
| English | Can read, write, speak, understand spoken and peer review |
| Vietnamese | Can read, write, speak, understand spoken and peer review |
| Date | Institution name | Country | Title |
|---|---|---|---|
| 2018 - 2022 | University of Adelaide | Australia | Doctor of Philosophy |
| 2013 - 2018 | International University - Vietnam National University, Ho Chi Minh City | Vietnam | Bachelor of Engineering in Computer Science |
| Year | Citation |
|---|---|
| 2024 | Arani, A. K., Le, T. H. M., Zahedi, M., & Ali Babar, M. (2024). Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration. IEEE Access, 12, 135419-135450. Scopus11 WoS5 |
| 2023 | Le, T. H. M., Chen, H., & Babar, M. A. (2023). A Survey on Data-driven Software Vulnerability Assessment and Prioritization. ACM Computing Surveys, 55(5), 1-39. Scopus62 WoS52 |
| 2022 | Mai, T. V. T., Nguyen, H. D., Nguyen, P. D., Nguyen, H. T., Na, O. M., Le, T. H. M., & Huynh, L. K. (2022). Ab initio kinetics of OH-initiated oxidation of cyclopentadiene. Fuel, 317, 1-10. Scopus11 WoS11 |
| 2022 | Le, T. H. M. (2022). Towards an Improved Understanding of Software Vulnerability Assessment Using Data-Driven Approaches. |
| 2020 | Le, T. H. M., Chen, H., & Babar, M. A. (2020). Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges. ACM Computing Surveys, 53(3), 38 pages. Scopus133 WoS119 |
| 2018 | Le, T. H. M., Tran, T. T., & Huynh, L. K. (2018). Identification of hindered internal rotational mode for complex chemical species: A data mining approach with multivariate logistic regression model. Chemometrics and Intelligent Laboratory Systems, 172, 10-16. Scopus63 WoS60 |
| 2017 | Le, T. H. M., Do, S. T., & Huynh, L. K. (2017). Algorithm for auto-generation of hindered internal rotation parameters for complex chemical systems. Computational and Theoretical Chemistry, 1100, 61-69. Scopus52 WoS49 |
| 2017 | Minh Le, T. H., & Duong, T. H. (2017). Online collaborative video annotation framework using Good Relations ontology for E-commerce. International Journal of Advanced Computer Research, 7(31), 121-135. |
| Year | Citation |
|---|---|
| 2025 | Ye, Z., Le, T. H. M., & Babar, M. A. (2025). LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations. In Proceedings 2025 IEEE ACM 22nd International Conference on Mining Software Repositories MSR 2025 (pp. 629-641). ttawa, ON, Canada: IEEE. DOI Scopus1 |
| 2025 | Nguyen, D., Le-Cong, T., Le, T. H. M., Babar, M. A., & Huynh, Q. T. (2025). Toward Realistic Evaluations of Just-In-Time Vulnerability Prediction. In Proceedings 2025 IEEE International Conference on Software Maintenance and Evolution Icsme 2025 (pp. 148-160). IEEE. DOI Scopus1 |
| 2025 | Nguyen, D., Tran-Duc, M., Le-Cong, T., Le, T. H. M., Babar, M. A., & Huynh, Q. T. (2025). VulGuard: An Unified Tool for Evaluating Just-In-Time Vulnerability Prediction Models. In Proceedings 2025 IEEE International Conference on Software Maintenance and Evolution Icsme 2025 (pp. 945-949). IEEE. DOI |
| 2024 | Minh Le, T. H., Du, X., & Babar, M. A. (2024). Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. In Proceedings - 2024 IEEE/ACM 21st International Conference on Mining Software Repositories, MSR 2024 (pp. 716-727). Online: ACM. DOI Scopus8 WoS6 |
| 2024 | Nguyen, A. T., Le, T. H. M., & Babar, M. A. (2024). Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++. In Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (pp. 72-83). Barcelona, Spain: IEEE Computer Society. DOI Scopus3 WoS3 |
| 2024 | Le, T. H. M., & Ali Babar, M. (2024). Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?. In Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (pp. 119-130). Barcelona: IEEE Computer Society. DOI Scopus5 |
| 2024 | Le, T. H. M., & Babar, M. A. (2024). Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?. In Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (pp. 131-142). Barcelona: IEEE Computer Society. DOI Scopus2 |
| 2024 | Le, T. H. M., Babar, M. A., & Thai, T. H. (2024). Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. In Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering (pp. 679-685). Online: ACM. DOI Scopus10 WoS7 |
| 2023 | Arani, A. K., Zahedi, M., Le, T. H. M., & Babar, M. A. (2023). SoK: Machine Learning for Continuous Integration. In Proceedings - 2023 IEEE/ACM International Workshop on Cloud Intelligence and AIOps, AIOps 2023 (pp. 8-13). Online: IEEE. DOI Scopus3 |
| 2022 | Le, T., Hin, D., Croft, R., & Babar, M. (2022). DeepCVA: Automated Commit-level Vulnerability Assessment with Deep Multi-task Learning. In Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering, ASE 2021 (pp. 717-729). online: IEEE. DOI Scopus75 WoS62 |
| 2022 | Duan, X., Ge, M., Le, T. H., Ullah, F., Gao, S., Lu, X., & Babar, M. A. (2022). Automated Security Assessment for the Internet of Things. In Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC Vol. 2021-December (pp. 47-56). online: IEEE. DOI Scopus24 WoS19 |
| 2022 | Le, T. H. M., & Babar, M. A. (2022). On the Use of Fine-grained Vulnerable Code Statements for Software Vulnerability Assessment Models. In MSR '22: Proceedings of the 19th International Conference on Mining Software Repositories (pp. 621-633). Pittsburgh Pennsylvania, USA: Association for Computing Machinery. DOI Scopus33 WoS32 |
| 2021 | Le, T. H. M., Croft, R., Hin, D., & Babar, M. A. (2021). A large-scale study of security vulnerability support on developer Q&A websites. In Proceedings of the Evaluation and Assessment in Software Engineering Conference (EASE 2021) (pp. 109-118). New York, United States: Association for Computing Machinery. DOI Scopus20 WoS18 |
| 2020 | Nguyen, T. V., Nguyen, N. T. H., Le, T., Nguyen, S. T. T., & Huynh, L. (2020). Estimation of Heat of Formation for Chemical Systems using the Lasso Regression-Based Approach. In ICSCA 2020: Proceedings of the 2020 9th International Conference on Software and Computer Applications (pp. 21-25). New York, NY, USA: ACM Digital Library. DOI |
| 2020 | Le, T. H. M., Hin, D., Croft, R., & Babar, M. A. (2020). PUMiner: Mining security posts from developer question and answer websites with PU learning. In MSR '20: Proceedings of the 17th International Conference on Mining Software Repositories (MSR 2020) (pp. 350-361). New York, NY: ACM. DOI Scopus25 WoS20 |
| 2019 | Le, T. H. M., Sabir, B., & Babar, M. A. (2019). Automated software vulnerability assessment with concept drift. In IEEE International Working Conference on Mining Software Repositories Vol. 2019-May (pp. 371-382). online: IEEE. DOI Scopus63 |
| 2018 | Le, H. M. T., Tran, T. T., & Lam, K. H. (2018). Linear support vector machine to classify the vibrational modes for complex chemical systems. In Proceedings of the 2nd International Conference on Machine Learning and Soft Computing (ICMLSC 2018) (pp. 10-14). New York: Association for Computing Machinery. DOI WoS1 |
| 2016 | Nguyen, H. S., Pham, H. P., Duong, T. H., Nguyen, T. P. T., & Le, H. M. T. (2016). Personalized facets for faceted search using wikipedia disambiguation and social network. In T. B. Nguyen, T. VanDo, H. A. LeThi, & N. T. Nguyen (Eds.), Advanced Computational Methods for Knowledge Engineering Vol. 453 (pp. 229-241). Berlin: SPRINGER. DOI Scopus2 WoS1 |
| Year | Citation |
|---|---|
| 2025 | Ye, Z., Le, T. H. M., & Babar, M. A. (2025). LLMSecConfig: An LLM-Based Approach for Fixing Software Container Misconfigurations. |
| 2024 | Zhang, B., Le, T. H. M., & Babar, M. A. (2024). MVD: A Multi-Lingual Software Vulnerability Detection Framework. |
| 2024 | Arani, A. K., Le, T. H. M., Zahedi, M., & Babar, M. A. (2024). Systematic Literature Review on Application of Learning-based Approaches in Continuous Integration. |
| 2024 | Le, T. H. M., & Babar, M. A. (2024). Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?. |
| 2024 | Nguyen, A. T., Le, T. H. M., & Babar, M. A. (2024). Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++. |
| 2024 | Le, T. H. M., & Babar, M. A. (2024). Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?. |
| 2024 | Le, T. H. M., Du, X., & Babar, M. A. (2024). Are Latent Vulnerabilities Hidden Gems for Software Vulnerability Prediction? An Empirical Study. |
| 2024 | Le, T. H. M., Babar, M. A., & Thai, T. H. (2024). Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT. |
I have won many competitive grants and fundings to support my research:
-
Royal Society's Catalyst Seeding Fund for the project "Automated Cybersecurity Assessment Platform as a Service". PIs: Dr. Mengmeng Ge, Prof. Ali Babar, Prof. Chelsea Liu, and myself
-
ACM SIGSOFT CAPS Support Grant for attending and presenting at ICSE/MSR 2022 (CORE A*)
- ACM SIGAI Student Travel Support Grant for attending and presenting at ASE 2021 (CORE A*)
- CREST's Travel Grant for attending and presenting at EASE 2021 (CORE A)
- ECMS HDR Travelling Scholarship 2020 for attending and presenting at ICSE/MSR 2020 (CORE A*)
- Travel Grant from the School of Computer Science at the University of Adelaide for attending and presenting at ICSE/MSR 2019 (CORE A*)
Teaching
- Software Engineering Research Project (2022 - 2025 Semesters 1 and 2)
- Secure Programming (2025 Semester 2, Trimester 2)
- Algorithm Design and Data Structures (2024 Semester 2)
- Software Architecture (2021 Semester 2)
- Software Architecture (2020 Semester 2)
- Software Process Improvement (2020 Semester 1)
- Secure Software Engineering (2019 Semester 2)
- Software Engineering Research Project (2019 Semester 2)
| Date | Role | Research Topic | Program | Degree Type | Student Load | Student Name |
|---|---|---|---|---|---|---|
| 2025 | Co-Supervisor | Towards AI-Driven Security Enhancement for Infrastructure as Code | Doctor of Philosophy | Doctorate | Full Time | Mr Ziyang Ye |
| 2025 | Co-Supervisor | Secure and Scalable Cloud-Native Architectures for AI-Driven Medical Imaging Projects | Doctor of Philosophy | Doctorate | Full Time | Miss Qianyu Wang |
| 2025 | Co-Supervisor | Towards AI-Driven Security Enhancement for Infrastructure as Code | Doctor of Philosophy | Doctorate | Full Time | Mr Ziyang Ye |
| 2025 | Co-Supervisor | Secure and Scalable Cloud-Native Architectures for AI-Driven Medical Imaging Projects | Doctor of Philosophy | Doctorate | Full Time | Miss Qianyu Wang |
| 2024 | Co-Supervisor | Automated discovery and analysis of security-related technical debt | Doctor of Philosophy | Doctorate | Full Time | Mr The Anh Nguyen |
| 2024 | Co-Supervisor | Automated discovery and analysis of security-related technical debt | Doctor of Philosophy | Doctorate | Full Time | Mr The Anh Nguyen |
| 2023 | Co-Supervisor | Developing Cybersecurity Threat Detection and Prediction Framework using Natural Language Processing | Doctor of Philosophy | Doctorate | Full Time | Mr Mehdi Kholoosi |
| 2023 | Co-Supervisor | Developing Cybersecurity Threat Detection and Prediction Framework using Natural Language Processing | Doctor of Philosophy | Doctorate | Full Time | Mr Mehdi Kholoosi |
| 2022 | Co-Supervisor | Exploring the Potential of Machine Learning Methods for Optimizing Software Delivery in DevOps Architecture | Doctor of Philosophy | Doctorate | Full Time | Mr Ali Kazemi Arani |
| 2022 | Co-Supervisor | Exploring the Potential of Machine Learning Methods for Optimizing Software Delivery in DevOps Architecture | Doctor of Philosophy | Doctorate | Full Time | Mr Ali Kazemi Arani |
| Date | Title | Type | Institution | Country |
|---|---|---|---|---|
| 2022 - 2022 | PC Member | Conference Review | IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) 2023 | - |
| 2022 - 2022 | PC Member | Conference Review | International Workshop on Mining Software Repositories Applications for Privacy and Security | - |
| 2022 - ongoing | Reviewer | Journal Review | Empirical Software Engineering journal | - |
| 2022 - ongoing | Reviewer | Journal Review | IEEE Internet of Things Journal | - |
| 2022 - 2022 | PC Member | Conference Review | Mining Software Repositories (MSR) 2022 | - |
| 2022 - ongoing | Reviewer | Journal Review | IEEE Transactions on Dependable and Secure Computing | - |
| 2021 - ongoing | Reviewer | Journal Review | Frontiers of Computer Science Journal | - |
| 2021 - ongoing | Reviewer | Journal Review | IEEE Journal on Selected Areas in Communications | - |
| 2021 - 2022 | PC Member | Conference Review | Mining Software Repositories conference 2021 | - |
