KAM Tin Seong

KAM Tin Seong is a Full-time Associate Professor of Information Systems (Practice) at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). He holds a PhD from the University of London (1995) and specializes in geospatial analytics, data science, and decision support systems. His research focuses on integrating spatial explicit machine learning, urban sustainability, healthcare analytics, and social media insights.

His teaching includes courses like Computer as an Analysis Tool, Geospatial Analytics for Business Intelligence, and Visual Analytics for Business Intelligence. He leads the Data Analytics Lab and advises students such as SUN Bing.

Key research areas include artificial intelligence applications, machine learning in environmental modeling (e.g., landslide prediction), urban mobility optimization, and health risk profiling. His work bridges theory and practice through tools like DIVAD (Dynamic Interactive Visual Analytical Dashboard) and RIGA (Rich Internet Geospatial Analytics Application).

He has received awards for actionable analysis in VAST challenges (2017), emphasizing clear hypothesis presentation and data-driven spatial-temporal exploration. His contributions span over 30 years, with publications addressing topics from geospatial policy analytics to wildlife anomaly detection.