BSc and MSc degrees in Electrical Engineering, Ph.D. in Computer Science. Professor in the Department of Biosystems Engineering at ESALQ-USP in the field of artificial intelligence. Current research interests include processing optical and radar remote sensing data using geospatial foundation models, with applications in agronomic, forest, and biosystems engineering. Previous research experience in deep machine learning and meteorological time series data, with applications in weather forecasting. Past professional experience in operational oceanography, focusing on the acquisition and processing of sonar data. Previous research experience in audio and music signal processing. Interested in both research and musical practice, with an emphasis on instrumental viola caipira. (Source: Lattes Curriculum)
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The combination of digital images with artificial intelligence algorithms has several potential applications in agriculture. However, the complexity of the agricultural environment means that the information contained in such images is not enough to provide an assertive answer that actually helps in decisions. With the evolution of the use of sensors (soil, humidity, leaf wetness, etc.), …
The main goal of this postdoc project is to develop machine learning based computational methods to speed up both annotation and classification of plankton images, minimizing the required effort from the expert. The method should be able to effectively reuse previously generated knowledge, quickly producing new classifiers adapted to new imaging or use conditions. Unsupervised and semi-su…
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