ACCEPTING PHD STUDENTS

Min-Yen Kan

Assoc Professor Min-Yen Kan

ACCEPTING PHD STUDENTS

Faculty & Department

Computer Science

Joint Appointments

Associate Professor, Dean's Office (school Of Computing), Integrative Sciences and Engineering

Vice-Dean, Dean's Office (School of Computing), School of Computing

Vice Dean (Undergraduate Studies), Dean's Office (School of Computing), School of Computing

Education

Doctor of Philosophy, Columbia Univ, United States

Bachelor of Science, Columbia Univ, United States

Master of Philosophy, Columbia Univ, United States

Bio

Min-Yen Kan (BS;MS;PhD Columbia Univ.; SACM, SIEEE) is an Associate Professor and Vice Dean of Undergraduate Studies at the National University of Singapore. Min is an active member of the Association of Computational Linguistics (ACL), currently serving as a co-chair for the ACL Ethics Committee, and previously as the ACL Anthology Director (2008–2018). He is an associate editor for Information Retrieval and the survey editor for the Journal of AI Research (JAIR).

His research interests include digital libraries, natural language processing and information retrieval. He was recognized as a distinguished speaker by the ACM for natural language processing and digital libraries research. Specific projects include work in the areas of scientific discourse analysis, fact verification, full-text literature mining, lexical semantics and large language models. He leads the Web Information Retrieval / Natural Language Processing Group (WING.NUS) http://wing.comp.nus.edu.sg/

Contact Information

dcskmy@nus.edu.sg

Homepage

Web IR / NLP Group (WING)

Google Scholar

Company

NUS Discovery

0000-0001-8507-3716

Natural Language Processing

Artificial Intelligence

Information Retrieval

Digital Libraries

Machine Learning

Deep Learning

Library and information studies

Information systems

Linguistics

Cognitive and computational psychology

Applied computing

Data management and data science

Specialist studies in education

Health services and systems

Applied mathematics

Research interests include digital libraries, natural language processing and information retrieval.

Specific projects include work in the areas of scientific discourse analysis, fact verification, full-text literature mining, lexical semantics and large language models.