Skip to main content
KAUST Research Conference on Robotics and Autonomy
RobotoKAUST
KAUST Research Conference on Robotics and Autonomy
Main navigation
Home
People
All Profiles
Leadership Team
Faculty
Visiting Scholars
Events
All Events
Events Calendar
News
causality and deep learning
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.