![Prof. Gustau Camps Valls](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2022/02/Gustau_Camps_Valls_USMILE.png)
Prof. Gustau Camps-Valls
- Affiliation: UV-ISP
- Professor in Electrical Engineering and head of the Image and Signal Processing group in the Image Processing Laboratory (IPL) at the University of Valencia – WP1-4
- USMILE co-PI
- Personal webpage
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2022/03/jose.png)
Dr. José Enrique Adsuara
- Affiliation: UV-ISP
- Postdoctoral Researcher – WP2 & WP3
- Hybrid modeling to link physics and machine learning models. Causal discovery and inference from data.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/DB_2020.jpg)
Diego Bueso
- Affiliation: UV-ISP
- PhD Researcher – WP3
- Development and application of feature extraction and causal inference methods on remote sensing data for spatio-temporal modeling of interaction at multiple time scales of Earth system.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2022/03/kai-994x1024.jpeg)
Kai-Hendrik Cohrs
- Affiliation: UV-ISP
- PhD researcher – WP2
- Parameter identification and partition of ecosystem carbon fluxes with machine learning models. Deploying Bayesian methods to include prior knowledge and estimate the uncertainty of parameters and models.
- Personal webpage
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/jordicortes-768x1024.jpeg)
Jordi Cortes
- Affiliation: UV-ISP
- PhD Researcher – WP1
- Applications of kernel methods and deep learning models to anomaly and extreme event detection owing to climate change processes.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/05/emiliano-768x1024.jpg)
Emiliano Díaz
- Affiliation: UV-ISP
- PhD Researcher – WP3
- Kernel methods, graphical models and causality, with the focus on Earth science applications.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/MA_2020-1-1024x1024.jpg)
Dr. Miguel Ángel Fernández
- Affiliation: UV-ISP
- Postdoctoral Researcher – WP3
- Understanding and designing explainable deep generative models and machine attention mechanisms to be deployed in anomaly and extreme event detection.
![Luis Gomez Chova](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2022/09/Luis_Gomez_Chova_USMILE.jpg)
Prof. Luis Gómez-Chova
- Affiliation: UV-ISP
- Full Professor in the Electronic Engineering Department at the University of Valencia
- Senior Researcher of the Image and Signal Processing Group in the Image Processing Laboratory at the University of Valencia – WP1
- Machine learning models to improve cloud classification in satellite imagery to better characterize inputs of climate models.
- Personal webpage
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/Laura-846x1024.jpg)
Laura Martínez Ferrer
- Affiliation: UV-ISP
- PhD Researcher – WP1
- Remote sensing researcher using deep learning to upscale high resolution carbon fluxes and developing machine learning methods for crop yield estimation from climate and multi-sensor data.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/AM_2020.jpg)
Dr. Álvaro Moreno Martínez
- Affiliation: UV-ISP
- Postdoctoral Researcher – WP1 & WP2
- Remote Sensing scientist developing physical and statistical models and operational methodologies for the study of vegetation cover.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2022/09/MPiles_RS_UV-1.jpg)
Dr. Maria Piles
- Affiliation: UV-ISP
- Senior Research Scientist – WP1, WP3
- Microwave remote sensing, estimation of water content in soils and vegetation, multi-sensor synergies for Earth and climate studies.
- Personal webpage
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/sunprofile_Eva-732x1024.jpg)
Dr. Eva Sevillano Marco
- Affiliation: UV-ISP
- Postdoctoral Research Coordination
- Coordination & Project Management at ISP. Environmentalist & Remote Sensing Scientist.
![](https://www.usmile-erc.eu/wp-content/uploads/sites/9/2021/04/gherardo_varando.jpg)
Dr. Gherardo Varando
- Affiliation: UV-ISP
- Postdoctoral Researcher – WP3
- Causal discovery and inference from spatio-temporal data.