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Charles Collins

Biography

Charles Collins is a Research Scientist at the Information Technology & Systems Center (ITSC) at the University of Alabama in Huntsville (UAH). His work at ITSC has included deep learning, modeling and simulation, 3D visualization, desktop application development, and web development.

Research Interests

Computer vision, machine learning, modeling and simulation, high performance computing

Posters

Cloud-based Analytic Framework for Precipitation Research (CAPRi) to Enhance the Spatial Resolution of GPM (AGU Fall Meeting 2021) Cloud-based Analytic Framework for Precipitation Research (CAPRi) to Enhance the Spatial Resolution of GPM (AGU Fall Meeting 2021)
Deep Learning for Multisensor Image Resolution Enhancement (11th Annual Science & Technology Jamboree 2017) Deep Learning for Multisensor Image Resolution Enhancement (11th Annual Science & Technology Jamboree 2017)
Development of a Deep Learning Super-Resolution Generative Adversarial Network (SGAN) for Improving the Resolution of Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Data (AGU Fall Meeting 2019) Development of a Deep Learning Super-Resolution Generative Adversarial Network (SGAN) for Improving the Resolution of Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Data (AGU Fall Meeting 2019)
Interactive 3D Visualization of Diverse Datasets (AGU Fall Meeting 2018) Interactive 3D Visualization of Diverse Datasets (AGU Fall Meeting 2018)
Machine Learning for Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Resolution Improvement (AGU Fall Meeting 2018) Machine Learning for Global Precipitation Measurement (GPM) Dual-Frequency Precipitation Radar (DPR) Resolution Improvement (AGU Fall Meeting 2018)

Projects

Super Multispectral Enhancement and Radar Fusion (SMERF)
VISAGE (Visualization for Integrated Satellite, Airborne, and Ground-based data Exploration)

Biblio

Deep Learning for Multisensor Image Resolution Enhancement
Enhancing Spatial Resolution of Remotely Sensed Imagery Using Deep Learning
Dr. Sara J Graves
Director & University Professor of
Computer Science
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