Research

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My research focuses on software engineering and computer science education, with an emphasis on integrating real-world, industry-aligned practices into the classroom. In particular, I study how automated and AI-driven tools—such as CI-based code assessment, static analysis, NLP techniques, and large language models—can support formative feedback, improve code quality, and enhance learning outcomes for novice programmers.

I am also interested in memory architecture design and the development of innovative data management techniques aimed at improving application performance.

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You can visit the SEPO Lab page for more information about current research projects.