LIM Ee Peng

Professor LIM Ee Peng is a Full-time Faculty member at the School of Computing and Information Systems, Singapore Management University, holding the position of Director for the Artificial Intelligence & Data Science Cluster. He obtained his PhD in Computer Science from the University of Minnesota in 1994. His research focuses on Artificial Intelligence, Data Science, and Healthcare Technology, with notable contributions to multimodal learning systems, large language models, and ESG forecasting.

Research Interests:

• Machine Learning and Deep Learning
• Natural Language Processing and Dialogue Systems
• Healthcare Technology and Behavioral Analysis
• Financial Technology and Risk Management
• Social Network Analysis and Job Market Modeling

Recent work trends emphasize AI ethics (e.g., steering LLMs toward human-aligned behaviors), multimodal fusion (food image analysis, agent-generated content), and applied AI systems (health counseling chatbots, investment management tools). His research often bridges theoretical advancements with real-world applications in healthcare, finance, and education.

As a mentor, he has advised students like TAN Shao Wei and led interdisciplinary projects funded by Singapore's National Research Foundation. His lab develops systems like FoodAI (smart food logging), JobSense (career exploration frameworks), and FoodBot (health interventions).

Labs/Teams: Leads the Artificial Intelligence & Data Science Cluster at SMU, fostering collaborations between academia and industry partners.