--- Short IEEE-like vitae:

Gustau Camps-Valls (IEEE Fellow'18, ELLIS Fellow, IEEE Distinguished lecturer, PhD in Physics) is a Full professor in Electrical Engineering at the Universitat de Val\`encia. He is interested in the development of AI and causal inference algorithms for modeling and understanding the Earth system. He is an author of around 300 journal papers, more than 300 conference papers, 25 international book chapters, and editor of 6 books on kernel methods and deep learning, with emphasis on geosciences and remote sensing data analysis. He holds a Hirsch's index h=96 (Google Scholar), a Highly Cited Researcher since 2020, and Thomson Reuters ScienceWatch identified him as a Fast Moving Front researcher. He received two European Research Council (ERC) grants: an ERC Consolidator grant on "Statistical learning for Earth observation data analysis" (2015) and an ERC Synergy grant on "Understanding and Modelling the Earth system with machine learning" (2019). He has achieved significant recognition with numerous awards and honors, including IEEE Fellow (2018), ELLIS Fellow (2019), IEEE David Landgrebe Award 2024, IEEE Distinguished Lecturer of the IEEE GRSS Fellow, Fellow of the European Academy of Sciences (EurASc) and the Academia Europeae (AE) in 2022. 

--- And even shorter:

Gustau Camps-Valls is a Full Professor in Electrical Engineering at the Universitat de Val\`encia. He is an expert in AI and causal inference for geosciences and remote sensing data analysis, having published extensively. He has a Ph.D. in Physics and is an IEEE Distinguished Lecturer. He has received two European Research Council (ERC) grants and holds a Hirsch's index h=96 (Google Scholar). He is also a Highly Cited Researcher since 2020. Gustau has achieved significant recognition with numerous awards and honors, including IEEE Fellow (2018), ELLIS Fellow (2019), Fellow of the European Academy of Sciences (EurASc) and the Academia Europeae (AE).

--- And even more:

Gustau Camps-Valls is a Physicist interested in AI and causality for the Earth sciences.