User:Akoeppel: Difference between revisions

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Created page with "{{Signup information member |First name member=Ari |Last name member=Koeppel |Institute member=Dartmouth College |City member=Hanover |Country member=United States |State member=New Hampshire |Confirm email member=Ari.Koeppel@Dartmouth.edu |Website member=https://Ahdkoeppel.github.io |Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Artificial Intelligence & Machine Learning Initiati..."
 
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|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Artificial Intelligence & Machine Learning Initiative
|Working group member=Terrestrial Working Group, Education and Knowledge Transfer (EKT) Working Group, Critical Zone Focus Research Group, Artificial Intelligence & Machine Learning Initiative
|Emaillist group member=yes
|Emaillist group member=yes
|Description of your CSDMS-related interests member=Finite element modeling of heat transfer in soils on Earth and Mars. Thermal infrared remote sensing.
|Description of your CSDMS-related interests member=Finite element modeling of heat transfer in soils on Earth and Mars. Thermal infrared remote sensing. Machine learning for geospatial data analysis.
|Memberagreement=I have read and agree to the Privacy Policy
|Memberagreement=I have read and agree to the Privacy Policy
}}
}}

Revision as of 12:45, 28 April 2025




Ari Koeppel, website username login: Akoeppel

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Dartmouth College
Hanover, New Hampshire
United States
Ari.Koeppel@Dartmouth.edu
https://Ahdkoeppel.github.io

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Member of the following CSDMS groups

  • Terrestrial Working Group
  • Education and Knowledge Transfer (EKT) Working Group
  • Critical Zone Focus Research Group
  • Artificial Intelligence & Machine Learning Initiative

Signed up for the mailing list: yes

CSDMS-related interest

Finite element modeling of heat transfer in soils on Earth and Mars. Thermal infrared spectroscopy & remote sensing. Machine learning for geospatial data analysis.