GeoAI for Human Mobility Modeling: A Deep Learning Approach Using Satellite Imagery

About the Speaker

Dr. Song Gao is an H.I. Romnes Distinguished Professor with tenure in Geographic Information Science at the University of Wisconsin-Madison, where he leads the Geospatial Data Science Lab. He is also an affiliated faculty member of the Data Science Institute and the Department of Computer Sciences. He was elected as a Fellow of the American Association of Geographers (AAG) in 2024. His main research interests include Geospatial Data Science, GeoAI and Human Mobility. He is the lead editor of the GeoAI Handbook and the author of over 100 peer-reviewed research articles, published in prominent journals such as PNAS, Nature Communications, The Innovation, and Science Bulletin. He is the PI of multiple research grants from the National Science Foundation, Wisconsin Alumni Research Foundation, Microsoft AI for Earth, and industry partners. He currently serves as the Associate Editor of International Journal of Geographical Information Science (IJGIS). Dr. Gao was the recipient of the UCGIS Early/Mid-Career Research Award, AAG Spatial Analysis & Modeling Emerging Scholar Award, and among the Web of Science Top 1% global highly cited researchers list.