high-performance computing

Jie Ren

Ph.D. Student, Computer Science

high-performance computing

Jie Ren is a Ph.D. student in Computer Science at King Abdullah University of Science and Technology (KAUST). His research focuses on high-performance computing, numerical algorithms, and GPU computing, with an interest in developing efficient computational methods for modern hardware architectures.

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.