Thainara Lima

Thainara Lima is a PhD student in Biosystems Engineering at Mississippi State University. Her PhD project, funded by the NASA Early Career Research Program, focuses on the global mapping of algal blooms in coastal waters using artificial intelligence. Her research interests include aquatic remote sensing, digital image processing, computer vision, and deep learning, with an emphasis on developing scalable tools for monitoring and managing water resources from satellite observations.

She holds a master’s degree in Remote Sensing from INPE, Brazil, where she worked on calibrating bio-optical models using satellite data. She earned her bachelor’s degree in Geomatics and Surveying Engineering from UNESP, which included an internship at the University of New Brunswick in Canada, with a focus on GNSS, atmospheric modeling, and remote sensing. Thainara has collaborated with research groups at the National Research Council of Italy (CNR-IREA) and the Instrumentation Laboratory for Aquatic Systems (LabISA) in Brazil, where she applied hyperspectral data and deep learning techniques to inland water applications.