spatio-temporal modeling

KAUST-CEMSE-STAT-PhD-dissertation-defense-Zipei-Geng

Computational and Statistical Advances in Spatio-Temporal Modeling: Causality, Deep Learning, and High-Performance Computing

Zipei Geng, Ph.D. Student, Statistics

Nov 2, 16:00 - 18:00

B2, L5, R5209

spatio-temporal modeling causality and deep learning high-performance computing

Recent advances in environmental monitoring and remote sensing have led to an unprecedented increase in spatial and spatio-temporal data complexity, presenting both opportunities and challenges for environmental science. This thesis explores three critical challenges in environmental data analysis.

Haziq Jamil

Research Specialist, Statistics

Statistical Modelling Data Analytics R Bayesian Statistics Gaussian processes spatio-temporal modeling

Haziq Jamil is a Research Specialist at the King Abdullah University of Science and Technology. His research focuses on statistical theory, methods and computation, with a special inclination towards social science applications.