Summary
Arun Saranathan is a Senior Research Scientist with 12 years of experience applying machine learning to satellite remote sensing and hyperspectral imaging, currently leading model development for aquatic and hydrologic Earth-observation problems at Science Systems and Applications, Inc. He holds a Ph.D. in Hyperspectral Image Analysis from UMass Amherst and spent nearly a decade there advancing manifold and segmentation techniques for complex mixing models like Hapke. Arun combines rigorous academic research—published in peer-reviewed venues—with practical delivery on NASA and federal grant-funded projects, bridging algorithm development and operational needs. Based in Glenn Dale, Maryland, he is equally comfortable writing proposal-driven science as he is implementing production-ready ML systems, and his background in both electrical engineering and systems engineering gives him a strong foundation across sensing, signal processing, and applied ML. An uncommon strength is his deep expertise in manifold clustering for mixed-pixel problems, which informs novel approaches to hyperspectral unmixing and segmentation.
12 years of coding experience
10 years of employment as a software developer
B.E, Electrical & Electronics, B.E, Electrical & Electronics at Visvesvaraya Technological University
Kendriya Vidyalaya Sangathan
University of Massachusetts Amherst
English, Hindi, Tamil, Kannada