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Advancing Spatio-Temporal Statistics in Geo-Environmental Data Science through Deep Learning and High Performance Computing

Presented During: Advances in Machine Learning and Spatial and Spatio-Temporal Statistics

Ying Sun Speaker
King Abdullah University of Science and Technology

Tuesday, Aug 5: 9:15 AM - 9:35 AM
Topic-Contributed Paper Session

Music City Center

In this talk, I will discuss the contributions and ongoing research of my Environmental Statistics Research Group in the area of spatio-temporal statistics, with a particular focus on leveraging deep learning and high performance computing for spatio-temporal analysis in Geo-Environmental Data Science. I will introduce the developed innovative software tools such as ExaGeoStat, ParallelVecchiaGP, and DeepKriging, which support the analysis of large-scale geostatistical datasets. During this presentation, I will also showcase environmental applications to air quality modeling and prediction.