Urban Perception

This study reviewed 393 papers on how visual characteristics of the built environment influence urban perception, highlighting trends, limitations, and future research opportunities, and demonstrated the efficacy of using machine learning to semi-automate the review process.

This study introduces a cost-effective, deep learning-based method using time-series street view imagery to evaluate and monitor neighborhood environmental quality, offering a scalable tool for improving urban policy and design.

I was invited to talk about my research on street view imagery to a group of audience from government agencies and industries