معرفی
Huang Qunying is a Professor in the Department of Geography at the University of Wisconsin–Madison, where she directs the Spatial Computing and Data Mining Lab. She holds a PhD in Earth Systems and Geoinformation Sciences from George Mason University (2011), an MS in Cartography and GIScience from Peking University (2007), and a BS in Survey and Mapping Engineering from Central South University (2004).
Her research integrates GeoAI, spatial big data analytics, and remote sensing to address challenges in disaster management, environmental justice, and urban informatics. Key domains include real-time flood/wildfire mapping, human mobility modeling, and social inequality quantification using multimodal data (e.g., satellite imagery, social media).
Her publications (2022–2025) demonstrate a strong focus on deep learning applications for geospatial problems, including transformer networks for mobility prediction, self-supervised building damage assessment, and multimodal land use mapping. Recurring themes include disaster resilience, computer vision, and scalable computing for Earth observation.
Awards & Honors:
- Vilas Associates Award (2020)
- Microsoft AI for Earth Award (2020)
- Madison Teaching and Learning Excellence Fellow (2016)
- NSF Hazards & Disasters Researcher (2014)
She advises PhD/MS students on topics like flood mapping, GeoAI, and social sensing. Major grants include NSF funding for disaster analytics ($299K) and USDA projects for crop yield prediction ($650K). Her lab collaborates with NOAA, NASA, and Microsoft to develop cloud-based geospatial tools.
