I mentor students on research and applied computing projects related to artificial intelligence, natural language processing, machine learning, deep learning, software engineering, and educational technologies.
Student projects may involve literature review, system design, data collection, model evaluation, software development, technical writing, and research presentation. I encourage students to develop projects that are technically sound, clearly documented, and connected to real-world problems.
Representative project areas include:
Large language models and education
Machine translation and low-resource languages
AI-assisted software engineering
Machine learning applications
Natural language processing systems
Student-centered research and capstone projects