Research Interests
Geospatial AI
Applying deep learning and spatial statistics to analyze human and environmental spatial behavior patterns.
Remote Sensing
Leveraging AI in remote sensing for environmental monitoring, land use mapping, and conservation efforts.
Urban Computing
Integrating computer vision and multimodal data analysis for urban sensing, planning, and mobility understanding.
📚 View complete publication list, citation metrics, and preprints
Google Scholar ProfileJournal Articles & Conference Papers
Journal Article
2026
Cross-Modal Urban Sensing: Evaluating Sound–Vision Alignment Across Street-Level and Aerial Imagery
Transactions in GIS
Journal Article
2025
A GAN-enhanced deep learning framework for rooftop detection from historical aerial imagery
International Journal of Remote Sensing
Journal Article
2023
Socio-demographic inequalities in the impacts of extreme temperatures on population mobility
Journal of Transport Geography, 110, 103755
Conference
2022
Impacts of Ethiopia dam on vegetation and water and ecological countermeasures
IOP Conference Series: Earth and Environmental Science
Preprints & Under Review
Preprint
2025
Intelligent bear prevention system based on computer vision: An approach to reduce human-bear conflicts in the Tibetan Plateau area
arXiv:2503.23178
arXiv
Under Review
Working Papers & In Preparation
In Prep
2025
Spatial Model of Crash Fatalities by Examining Effects of Infrastructural Factors: A Case Study on South Carolina
Submitted to Target Journal
Under Review
In Prep
2025
Mapping Multi-Dimensional Urban Tree Canopy Change with Deep Learning: A Case Study of Columbia, SC (2005–2023)
Manuscript in Preparation
Drafting
— Last updated: March 2025 | More papers coming —