- Recipient of SUTD President’s Graduate Fellowship
- Recipient of Singapore Data Science Consortium (SDSC) Dissertation Research Fellowship 2024
- Published papers in top conferences such as WWW, ACM Multimedia, EMNLP, and ICLR
- Serves as a reviewer for top-tier conferences and co-organizes SSNLP 2024 and 2025
Research Experience
- Research Scientist, Institute of Foundation Models, Mohammed bin Zayed University of Artificial Intelligence (MBZUAI)
- Visiting Scholar, Mohammed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Prof. Preslav Nakov
Education
- PhD: Singapore University of Technology and Design (SUTD), Information System Technology and Design, supervised by Prof. Roy Ka-Wei Lee
- BSc: Singapore Management University (SMU), Information Systems
Background
- Research Interests: Trustworthy and Explainable AI, Multimodal Understanding, Computational Social Science
- Professional Field: Information Systems Technology and Design
- Brief Introduction: Ming Shan Hee is a Research Scientist at the Institute of Foundation Models, Mohammed bin Zayed University of Artificial Intelligence (MBZUAI). His research focuses on developing trustworthy and explainable models for hate content moderation, particularly in multimodal settings.