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Faculty Profile

Highlights
These highlights are AI-generated using the faculty's CV and Google Scholar profile
Hady W. Lauw is a leading expert in preference mining, recommender systems, and visual analytics, with internationally recognized contributions to machine learning, web search, and data mining.

Combines methodological innovation in preference mining, explainable AI, and multimodal analytics with practical impact in recommendation, web search, and visual analytics; recognized for bridging theory and real-world applications, and for leadership in academic and professional communities.

Focused research areas include Machine learning for personalized recommendation, comparative explanations, and user preference modeling; visual and semantic analytics; dimensionality reduction; cross-domain and continual learning; explainable recommendation systems; topic modeling and document networks.
Web MiningRepresentation LearningRecommender Systems

Qualification

  • PhD, Nanyang Technological University, 2008

Teaching Topics

  • Computational Thinking
  • IS Application Project