Skip to main content
Communication and Computing Systems Lab
Communication and Computing Systems Lab
Home
People
All Profiles
Principal Investigator
Postdoctoral Fellows
Research Scientists
Research Staff
Students
Alumni
Former Members
Research
Wireless Communication
Body Area Network
AI Accelerator
All Projects
Publications
Publications
Google Scholar
DBLP
IEEE Xplore
KAUST Repository
ORCID
Events
Media Gallery
Contacts
Join us
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.
