Research Asisstant
I am currently pursuing a Master’s degree in Software Engineering at the VNU University of Engineering and Technology (UET), with an expected graduation date of June 2026. I am actively seeking opportunities to continue my academic journey through a PhD program in Computer Science, where I aim to conduct impactful research in AI for Software Engineering (AI4SE).
My primary research focuses on improving the reliability, quality, and interpretability of code generated or processed by Large Language Models (LLMs). I am particularly interested in developing deep-learning–based techniques for automated code quality assessment, correctness evaluation, and trustworthy AI-assisted software development.
I have also gained research experience at the iSE Lab at UET, where I strengthened my skills in software analysis, AI model evaluation, and code-centric deep learning.
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| 2025 | Tuan-Dung Bui, Thanh Trong Vu, Thu-Trang Nguyen, Son Nguyen, Hieu Dinh Vo - "Correctness Assessment of Code Generated by Large Language Models Using Internal Representations" - Journal of Systems and Software. |
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| 2025 | Thanh Trong Vu, Tuan-Dung Bui, Thanh-Dat Do, Thu-Trang Nguyen, Hieu Dinh Vo, Son Nguyen - "Automated description generation for software patches" - Information and Software Technology. |
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| 2025 | Thu-Trang Nguyen, Thanh Trong Vu, Hieu Dinh Vo, Son Nguyen - "An empirical study on capability of large language models in understanding code semantics" - Information and Software Technology. |
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| 2024 | Son Nguyen, Thu-Trang Nguyen, Thanh Trong Vu, Thanh-Dat Do, Kien-Tuan Ngo, Hieu Dinh Vo - "Code-centric learning-based just-in-time vulnerability detection" - Journal of Systems and Software. |
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| 2024 | Thanh Trong Vu, Thanh-Dat Do, Hieu Dinh Vo - "Context-encoded code change representation for automated commit message generation" - International Journal of Software Engineering and Knowledge Engineering. |
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