Gonzalo Mateo García

Current position: PhD student

Image and signal processing group (ISP)

Image processing laboratory (IPL)

I’m a PhD student in the Image processing laboratory at Universidad de Valencia. My advisor is Prof. Luis Gómez-Chova.

My research interests are in the field of applied machine learning. I am specially interested in applications to natural sciences like remote sensing and weather and energy forecasting. 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 current research involves convolutional neural networks for semantic segmentation, transfer learning and uncertainty estimation in deep learning.

Please feel free to contact me at:

gonzalo.mateo-garcia@uv.es

Current projects

  1. Cloud masking in remote sensing image time series using the Google Earth Engine platform
    with Luis Gómez-Chova and Jordi Muñoz-Marí

  2. Transfer learning with convolutional neural networks for multispectral image cloud masking
    with Luis Gómez-Chova and Gustau Camps-Valls

  3. Optimized Kernel Ridge Regression
    with Valero Laparra, Jordi Muñoz-Marí and Luis Gómez-Chova

  4. Estimating primary productivity of crops globally with machine learning and the Google Earth Engine
    with Aleksandra Wolanin, Luis Guanter, Gustau Camps-Valls and Luis Gómez-Chova