Pretha Sur is a PhD candidate at Deakin University, Australia, working at the intersection of Edge AI, TinyML, and satellite remote sensing. Her research focuses on developing efficient machine learning methods for onboard satellite data processing, with a particular emphasis on synthetic aperture radar imagery, lightweight vision models, and deployment-aware optimisation for resource-constrained spaceborne platforms.
As a visiting researcher at ESA, Pretha is exploring how artificial intelligence can enable faster, more autonomous analysis of Earth observation data directly on board satellites. Her work aims to reduce dependence on ground-based processing and support timely decision-making for applications such as maritime monitoring, disaster response, and environmental observation.
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