👩🏻‍💻 Gabin An
I am an Assistant Professor in the Department of Computer Science and Engineering at Korea University. My recent research focuses on AI-for-SE, especially applying Large Language Models (LLMs) to software testing, debugging, and maintenance.
- Email: gabin_an@korea.ac.kr
- Personal Website: https://agb94.github.io
Background
- Software Engineer in Test at Roku (2024–2025)
- Ph.D. in Computer Science, KAIST (2024, Distinguished Dissertation Award)
- M.Sc. & B.Sc. in Computer Science, KAIST (Summa Cum Laude)
🌙 SELENE: Software Engineering Laboratory for Next-Gen Ecosystems
SELENE integrates classical principles of Software Engineering (SE) with state-of-the-art Artificial Intelligence (AI) to develop and explore automated methodologies that make software more reliable (with fewer bugs) and easier to maintain. Rather than merely applying AI as-is, we emphasize ensuring that the resulting systems are trustworthy and practical in real-world settings.
Research Focus
- Fault Localization with LLMs
- Log Analysis
- Industrial Test Automation
- Bug-Inducing Commit Identification
- Documentation–Code Consistency Check
- Refactoring and Code Evolution
Please see the publications here: SELENE Publications
Our Principles
- Commitment to Better Software: In the rapidly evolving software ecosystem, we continuously redefine what it means to build better software, explore this vision from multiple perspectives, and engage with all challenges necessary to realize it.
- Practical Impact: Our goal is to develop flexible, practical, and effective methodologies that can be applied in real-world environments. To this end, we validate our approaches on real systems, such as Apache open-source projects and SAP HANA.
- Trust & Explainability: We focus not only on applying AI to software engineering but also on automatically verifying the trustworthiness of its outcomes, ensuring that AI-driven tools remain transparent, reliable, and dependable.
đź’Ś Join Us
We welcome students and collaborators passionate about AI-for-SE, eager to design automated software engineering methodologies that build better systems and alleviate developers’ burden in maintenance tasks such as debugging and log analysis. We are currently seeking both undergraduate and graduate research assistants. If you are interested, please feel free to reach out!
- Contact: gabin_an@korea.ac.kr