Research Interests

Applying deep learning and spatial statistics to analyze human and environmental spatial behavior.

Leveraging AI in remote sensing for environmental monitoring and conservation efforts.

Integrating computer vision and multimodal data analysis for urban sensing and planning.

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Selected Publications

Journal A GAN-enhanced deep learning framework for rooftop detection from historical aerial imagery Chen, P., Wang, S., Wang, C., Wang, S., Huang, B., Huang, L., & Zang, Z. (2025) International Journal of Remote Sensing

DOI Link

Journal Socio-demographic inequalities in the impacts of extreme temperatures on population mobility Gu, X., Chen, P., & Fan, C. (2023) Journal of Transport Geography, 110, 103755

DOI Link

Conference Impacts of Ethiopia dam on vegetation and water and ecological countermeasures Chen, P., Liang, T., & Wu, Z. (2022) IOP Conference Series: Earth and Environmental Science

DOI Link

Preprints & Under Review

Preprint Cross-modal urban sensing: Evaluating sound-vision alignment across street-level and aerial imagery Chen, P., Huang, X., Teng, F., & Wang, S. (2025) arXiv:2506.03388

arXiv PDF

Preprint Intelligent bear prevention system based on computer vision: An approach to reduce human-bear conflicts in the Tibetan Plateau area Chen, P., Teng, F., Du, Y., Yi, J., Li, Y., & Kupfer, J. A. (2025) arXiv:2503.23178

arXiv PDF

Working Papers

In Prep Spatial Model of Crash Fatalities by Examining Effects of Infrastructural Factors: A Case Study on South Carolina Co-first author | Submitted

In Prep Mapping Multi-Dimensional Urban Tree Canopy Change with Deep Learning: A Case Study of Columbia, SC (2005–2023) First author | In Progress

— More papers coming... eventually. —