May Casterline

Dr. May Casterline is an image scientist and software developer with a background in satellite and airborne imaging systems. Her research interests include deep learning, hyperspectral and multispectral imaging, innovative applications of machine learning approaches to remote sensing data, multimodal data fusion, data workflow design, high performance computing applications, and creative software solutions to challenging geospatial problems. She holds a PhD and Bachelors of Science in Imaging Science from Rochester Institute of Technology, with a focus on remote sensing. In industry she has acted as a product owner, technical lead, lead developer, and image scientist on both research initiatives and development projects. Dr. Casterline joined the NVIDIA federal solution architecture team in 2017 focusing on deep learning and artificial intelligence applications.
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Posts by May Casterline

Simulation / Modeling / Design

Solving SpaceNet Road Detection Challenge With Deep Learning

It’s that time again -- SpaceNet raised the bar in their third challenge to detect road-networks in overhead imagery around the world.  Today, map features... 28 MIN READ