Faculty Profile

KAM Tin Seong is a leading expert in geospatial analytics and visual analytics, renowned for advancing data-driven business intelligence and spatial modeling techniques across academia and industry.

Pioneered integration of spatial statistics, GIS, and visual analytics for actionable business and environmental insights; strong applied impact in urban planning, health informatics, and supply chain sustainability; bridges methodological innovation with practical deployment; recognized for advancing interactive analytics and spatial modeling in both academic and industry settings.

Focused research areas include Leveraging geospatial and visual analytics to enhance business intelligence; integrating spatial statistics and modeling for toolkit development; knowledge discovery through interactive analytics; spatial-temporal analysis for urban planning, environmental health, and transportation; machine learning for spatial data.