Mengqi Li

Education:

M.S., Geographic Information Science, 2025, University of Zurich

B.S., Geographic Information Science, 2023, Nanjing University of Information Science &Technology

Research Interests:

Disaster Resilience; Urban Analytics; GeoAI; Human Mobility

Bio:

Mengqi Li is a Ph.D. student in the Department of Geography at the University at Buffalo, advised by Dr. Yingjie Hu. Her research focuses on GeoAI and disaster resilience, specifically using machine learning to analyze human exposure to smoke during wildfires.

Recent Courses Taught:

GEO 481/506 Geographic Information System (Lab Section)

Publications:

Li, M., Dai, W., Wang, G., Wang, B., Chen, K., Gao, Y., & Amankwah, S. O. Y. (2024). Reconstructing high-resolution DEMs from 3D terrain features using conditional generative adversarial networks. International Journal of Applied Earth Observation and Geoinformation, 133, 104115. https://doi.org/10.1016/j.jag.2024.104115

Luo, W., Liu, Z., Ran, Y., Li, M., Zhou, Y., Hou, W., ... & Yin, L. (2025). Unraveling varying spatiotemporal patterns of Dengue Fever and associated exposure-response relationships with environmental variables in three Southeast Asian countries before and during COVID-19. PLOS Neglected Tropical Diseases, 19(4), e0012096. https://doi.org/10.1371/journal.pntd.0012096

Li, M., Dai, W., Fan, M., Qian, W., Yang, X., Tao, Y., & Zhao, C. (2023). Combining deep learning and hydrological analysis for identifying check dam systems from remote sensing images and DEMs in the Yellow River Basin. International Journal of Environmental Research and Public Health, 20(5), 4636. https://doi.org/10.3390/ijerph20054636