Gonzalo Mateo García

I’m a PhD student in Image and Signal Processing Group in the Image Processing Laboratory Institute at Universidad de Valencia. My advisor is Prof. Luis Gómez-Chova.

My research interests are in the intersection of machine learning and Earth sciences. I have developed machine learning models for Earth observation with satellite images and for weather and energy forecasting. In 2020, I participated in the NASA Frontier Development Lab research sprint working on monitoring water on small streams. In 2019, I also participated in the Frontier Development Lab 2019 Europe research sprint working with the Disaster Prevention, Progress and Response team on onboard flood segmentation. During 2017 I worked under a Google Earth Engine Award project developing machine learning cloud detection algorithms (some results). Previously I worked in renewable energy forecasting at MeteoLogica.

My research involves convolutional neural networks for semantic segmentation, transfer learning and uncertainty estimation in deep learning applied to water and cloud detection.

Please feel free to contact me at: