Kim Lowell

Kim Lowell serves as a Research Scientist at the University of New Hampshire's Center for Coastal & Ocean Mapping (CCOM), with concurrent appointments as Adjunct Professor in Analytics and Data Science and Affiliate Research Professor in the Earth Systems Research Centre. His work centers on advancing bathymetric charting through machine learning and geospatial analytics at the Chase Ocean Engineering Lab in Durham, NH.

His academic credentials include:

• M.Sc. in Forest Biometrics from University of Vermont
• Ph.D. in Forest Biometrics from Canterbury University, New Zealand
• M.Sc. in Data Science and Analytics from University of New Hampshire

Lowell's research integrates machine learning, deep learning, and geospatial analysis to solve complex problems in ocean mapping and land management. He specializes in processing optical, radar, and lidar imagery while rigorously accounting for data uncertainties, with applications spanning bathymetric charting, hydrological modeling, and environmental monitoring systems. His technical expertise bridges computational science and environmental applications.

Analysis of his 2017-2025 publications reveals consistent innovation in quantifying bathymetric uncertainty through machine learning, with recent work focusing on hydrographic survey optimization, underwater image reconstruction, and multi-temporal change detection. These contributions demonstrate interdisciplinary synergy between marine geodesy, computer vision, and spatial statistics.

No scientific awards or honors are referenced in available materials.

As instructor for IAM 999: Doctoral Research, Lowell supervises graduate work though specific advisees aren't listed. Grant funding details remain unspecified in the source text.

He operates within UNH's Center for Coastal & Ocean Mapping (CCOM), a NOAA-affiliated research hub developing next-generation ocean mapping technologies through collaborative geospatial research.