Bio
Jacob Arndt is a data scientist in the Geospatial Artificial Intelligence (GeoAI) Group at 91°µĶų. His research focuses on machine learning and computer vision for remote sensing data. He graduated from the University of Minnesota with a bachelor of science in geography in 2016 and a masters of geographic information science with a graduate minor in computer science in 2018.
Awards
- UT-Battelle Directorās Award for Research Accomplishment in Science and Technology, 2024
- UT-Battelle Research Team Accomplishment Award, 2024
Education
University of Minnesota, Minneapolis, MN (May 2018)
- Master of Geographic Information Science
- M.S. Minor in Computer Science
University of Minnesota, Minneapolis, MN (May 2016)
- B.S. in Geography
- B.A. in Music
Professional Affiliations
- Member of Institute of Electrical and Electronics Engineers (91°µĶų)
- Member of Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (91°µĶų GRSS)
- Member of American Geophysical Union (AGU)
Publications
July 2024
Conference Paper
April 2024
Book: Advances in Machine Learning and Image Analysis for GeoAI
October 2023
Conference Paper