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Faculty Profile

Highlights
These highlights are AI-generated using the faculty's CV and Google Scholar profile
DAI Bing Tian is a leading educator and researcher in artificial intelligence, machine learning, and data analytics, with significant contributions to collaborative learning technologies, financial knowledge graphs, and AI-driven healthcare solutions.

Bridges foundational AI and machine learning research with impactful applications in education, healthcare, and financial analytics; recognized for developing scalable, interpretable, and collaborative AI solutions; strong track record in securing competitive research grants and leading cross-disciplinary projects.

Focused research areas include AI-driven collaborative and participatory learning; financial and medical knowledge graphs; multimodal and contrastive learning; intelligent transportation and route optimization; automated math word problem solving; data quality and schema matching; AI for healthy ageing and person-centred care.
Machine LearningData MiningNatural Language ProcessingEducation

Qualification

  • PhD, National University of Singapore, 2012

Teaching Topics

  • Applied Machine Learning
  • Computer as an Analysis Tool

Research Advisor/Co-Research Advisor to