About Xiran Zhang Xiran Zhang Ph.D. Student, Statistics statistics High Performance Computing HPC geospatial statistics spatio-temporal statistics Xiran Zhang research investigates statistics and high-performance computing, with a particular focus on scalable methods for large-scale geostatistical and spatio-temporal problems. Events Presented Events May 10 - May 16, 2026 Scalable Methods for Multivariate Normal Probability Estimation with Applications in Confidence Region Detection, Transport Phenomena, and Parallel Computing Using RCOMPSs Xiran Zhang, Ph.D. Student, Statistics May 14, 15:00 - 17:00 B2 R5209 geospatial statistics spatio-temporal statistics High Performance Computing HPC multivariate statistics GPU Algorithms This thesis addresses computing high-dimensional multivariate normal (MVN) probabilities in environmental and geospatial applications by combining high-performance computing, numerical approximation, and transport-based covariance modeling to make several important spatial procedures usable at larger scales.
Scalable Methods for Multivariate Normal Probability Estimation with Applications in Confidence Region Detection, Transport Phenomena, and Parallel Computing Using RCOMPSs Xiran Zhang, Ph.D. Student, Statistics May 14, 15:00 - 17:00 B2 R5209 geospatial statistics spatio-temporal statistics High Performance Computing HPC multivariate statistics GPU Algorithms This thesis addresses computing high-dimensional multivariate normal (MVN) probabilities in environmental and geospatial applications by combining high-performance computing, numerical approximation, and transport-based covariance modeling to make several important spatial procedures usable at larger scales.
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