Joseph Geisz: Research

• CSU Fort Collins: PhD in progress
• Sandia National Labs Internship
• SAND report: Applications of Artificial Intelligence to Radar
• USGS Great Lakes Science Center/Michigan Tech Great Lakes Research Center
• Papers:
• Classification of Lakebed Geologic Substrate in Autonomously Collected Benthic Imagery Using Machine Learning
• A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images
• Datasets:
• Autonomously Collected Benthic Imagery for Substrate Prediction, Lake Michigan 2020-2021
• Down-looking Images of Lake Trout (Salvelinus namaycush) and Round Goby (Neogobius melanostomus) to Support Automated Biomass Estimation
• Code:
• Benthic Imagery Labeling GUI
• CU Boulder
• Masters Thesis (Advised by Dr. Jim Meiss): A 3D Extension of the Sierpinski Relatives and an Analysis of their Persistent Homology