Min Yen Kan

Min Yen Kan is an Associate Professor and Vice Dean of Undergraduate Studies at the National University of Singapore's School of Computing, Department of Computer Science. With a PhD from Columbia University (2002), he leads the Web Information Retrieval / Natural Language Processing Group (WING.NUS) and serves as ACL Ethics Committee co-chair.

His research spans Natural Language Processing, Large Language Models, Digital Libraries, and Information Retrieval, with specific focus on scientific discourse analysis, fact verification, and multimodal systems. Current projects include Scholarly Document Information Extraction (TRL 6), Task-Oriented Dialogue Systems (TRL 4), and Recommendation Systems (TRL 5).

Recent publications reveal strong trends in LLM limitations (bias, hallucination, evaluation), conversational recommendation systems, and misinformation detection. His work consistently bridges theoretical NLP with real-world applications in digital libraries and scientific communication.

Award highlights include:

• CIKM 2019 Best Paper Award
• ACL Distinguished Service Awards
• Vannevar Bush Best Paper Award (JCDL 2012)
• ACM Distinguished Speaker designation

Kan mentors PhD students with placements at Google and USTC, and serves as associate editor for Information Retrieval and survey editor for Journal of AI Research. His lab WING.NUS develops practical tools like SciWING for scientific document processing and FANG for fake news detection. Media engagements include commentary on AI regulations in Southeast Asia and workforce implications in the AI era.