Research

Research Themes

1. Scholarly Knowledge Organization

This line of work focuses on structured representations of publications, authors, topics, and institutions, with particular attention to knowledge graphs, semantic tagging, and research mapping for scholarly discovery.

2. Generative AI for Research Support

I study how large language models can support topic exploration, literature review, knowledge extraction, research writing, and scholarly question answering, with an emphasis on interpretability and reliability.

3. Intelligent Education and Learning Analytics

This area combines natural language processing with learning behavior data to design systems that support teaching, academic training, and capability assessment.

Methods and Approaches

• Knowledge graph construction and semantic annotation
• Natural language processing and information extraction
• Prompt design and evaluation for large language models
• User research, usability testing, and prototype design

Collaboration Interests

• Scholarly resource platforms for universities and research institutes
• Tools for research writing and academic training
• Evaluation of AI applications in educational settings

Future Directions

1. Expanding curated scholarly corpora and domain-specific datasets.
2. Validating systems in real teaching and research environments.
3. Translating research outcomes into open tools and public-facing services.