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Research Interests
• Architecture and Urban Space: Built environment, Human behavior, Pedestrian environment, Streetscape, Walkable street
• Data Science: Machine learning, Deep learning, Statistics, GIS, Big data
• Computer Vision: Street view image, Image segmentation
• Neuroscience: EEG (brainwave), Eye-tracking, Virtual reality (VR)
A cognitive approach to space design and quantifying space characteristics
A cognitive approach to space design and quantifying space characteristics
GIS
Computer vision, Street view image, Deep learning
Space syntax
Leveraging big data on human behavior for optimal space design
Leveraging big data on human behavior for optimal space design
Data Science
Regression analysis, Machine learning, SHAP analysis
EEG, eye-tracking experiment
Developing urban spaces based on understanding human psychology and social phenomena
Developing urban spaces based on understanding human psychology and social phenomena
Brain-Computer Interface (BCI)
Data-based Masterplan / Urban planning
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