Jingchao Yang

Bio:
Jingchao Yang received his bachelor's degree major in Computer Science and minored in GIS from both Eastern Michigan University and Central China Normal University in 2016, and is currently pursuing a Ph.D. degree in Earth Systems and Geoinformation Sciences from George Mason University. He is in his third year of the Ph.D. program and worked on several NSF and NASA funded projects as a Research Assistant for NSF Spatiotemporal Innovation Center. His research mainly focuses on the machine- and deep- learning enabled spatiotemporal pattern analysis using multi-sensor datasets. He authored and co-authored several publications in International Journal of Geo-Information (IJGI), and now contributing in more top-tier journals including International Journal of Geographic Information Science (IJGIS), Computers, Environment and Urban Systems (CEUS), and Sensors. He is working on spatiotemporal analytics, cloud computing, data mining, natural language processing, deep learning and Internet of Things (IoT). He is passionate of GIScience and actively participated in and hosted sessions for the conferences from the community, including the American Association of Geographers (AAG), EarthCube 2018 All Hands Meeting, Earth Science Information Partners (ESIP) Meeting.

Involved IAB Projects:
STC-17-01 Big Data Learning Platform
GMU-16-05 Data Container Study for Handling array-based data using Rasdaman, SciDB, Hive, Spark, and MongoDB
GMU-15-09 Planetary Defense
STC-15-01 Developing and Maintaining a Spatiotemporal Computing Infrastructure