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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 scholar in preference mining, recommender systems, and visual analytics, with extensive contributions to machine learning, web search, and data mining, recognized by prestigious awards and international leadership roles.

Combines methodological innovation in preference mining, explainable recommendation, and multimodal analytics with practical impact in AI-driven recommendation, web search, and visual analytics; recognized for bridging theory and real-world applications, fostering interpretability, and leading collaborative research and open-source frameworks.

Focused research areas include Developing novel models and algorithms for preference mining, recommender systems, and visual analytics; advancing explainable recommendation, comparative explanations, topic modeling, and multimodal learning; bridging human and computational coherence in information retrieval and recommendation.
Web MiningRepresentation LearningRecommender Systems

Qualification

  • PhD, Nanyang Technological University, 2008

Teaching Topics

  • Computational Thinking
  • IS Application Project