Artificial Intelligence & Machine Learning Applications in Earth Science

August 27, 2021  9:30 AM - 5:00 PM

How can AI/ML help to secure water for the future?

 

 

Time
Session
Speaker
9:30  AM              
Welcome & Breakfast  
  
10:00 AM
Introduction to the Hantush Deju Center
Dan Stephens
Interim Director 
Hantush Deju Center
10:30 AM
Machine Learning
for Non-Obvious Systems Behavior
Max Planck
Analysis for iCASA
New Mexico Tech
 
11:00 AM
New Mexico Water Data
Stacy Timmons
Associate Director for Hydrogeology Programs
New Mexico Bureau of Geology & Mineral Resources
12:00 PM
Working Lunch-Overview of NCGR
Callum Bell
President
NCGR
1:00 PM
Using Machine Learning
to improve earth system holding of snow in Arctic Landscapes
Katrina Elanor Bennett
Los Alamos National Labs
1:30 PM
Connectivity
informed drainage network generation using
generative adversarial networks for inverse modeling
Hongkyu Yoom
Sandia National Labs
2:00 PM
New Mexico Tech Hydrology Program
AI Research Opportunities
Mark Pearson
Professor of Hydrology
New Mexico Tech
2:30 PM
Break
 
3:00 PM
Opportunities for AI
in scaling hydrologic problems via geodetic measurements
Alex Rinehart
Assistant Professor of Hydrology
New Mexico Tech
 
3:30 PM
Machine Learning
approaches for simulating subsurface fractured systems
Hari Viswanathan
Los Alamos National Labs
4:00 PM
 Open Discussion  
5:00 PM
 Adjourn