Skip to main content

Dr. Song Gao: Towards AI-enabled Geospatial Research with Big Data

Event Details

Thursday, September 26, 2019
4-5 p.m.

Speaker: Dr. Song Gao, Geospatial Data Science Lab, University of Wisconsin, Madison
Abstract: There are increasingly available large-scale location-awareness datasets, such as mobile phone tracking data and location-based social media data including both texts and images, which enable researchers and urban planners to better understand complex human mobility patterns and urban dynamics. Aside from all the success using these emerging sources, several challenges remain, such as location uncertainty, data sparsity, and poor semantics. New spatiotemporal analysis methods and insights from the advancement of natural language processing and computer visions will be introduced to address those challenging issues. The speaker will discuss the latest research trends, challenges, and opportunities in the field of geospatial artificial intelligence (GeoAI) for transforming cartography and geographic information science.

Bio: Dr. Song Gao, is a tenure-track Assistant Professor in Geographic Information Science (GIScience) at the Department of Geography, University of Wisconsin, Madison, where he directs the Geospatial Data Science Lab. He got his Ph.D. in GIScience from the University of California, Santa Barbara in 2017. He holds a M.S. degree at the Institute of Remote Sensing and GIS, Peking University, and a B.S. (Hons.) degree at Beijing Normal University, China. His main research interests include Geospatial Data Science and Geospatial Artificial Intelligence (GeoAI), as well interdisciplinary studies. He is the (co-)author of over 50 peer-review scientific articles that were published in prominent journals and conference proceedings, and with over 1900 Google Scholar Citations. He is the recipient for 2019 Microsoft AI for Earth Grant, 2018 & 2019 UW-Madison WARF Research Competition Grants, 2017 'Young Researcher Award' in GIScience selected by Austrian Academy of Sciences, 2017 International Cartographic Association Scholarship, 2016 National Award for Outstanding Chinese PhD Students Study Abroad, 2014 Cartography and Geographic Information Society Doctoral Scholarship Awards, Jack & Laura Dangermond Graduate Fellowship, and UCSB Geography Excellence in Research Award. He had industry internship experience at Esri Inc. and Apple Maps and hopes to connect theoretical research to industry innovations.