Gustau Camps-Valls earned a Ph.D. degree in Physics (2002, summa cum laude) from the Universitat de València, and he is currently Full Professor in Electrical Engineering in the same university, where he lectures time series analysis, signal processing, image processing, AI and machine learning, and advanced remote sensing data processing. He is the Group Leader of the Image and Signal Processing (ISP) group, http://isp.uv.es, an interdisciplinary group of 40 resarchers working in the intersection of AI and machine learning for Earth and Climate sciences. He currently coordinates several European projects in these areas, and assists/ed the aerospeace industry (ESA, EUMETSAT, NASA) as consultant and member of Advisory Boards. He has been Visiting Researcher at the Remote Sensing Laboratory (Univ. Trento, Italy) in 2002, the Max Planck Institute (Tübingen, Germany) in 2009 and 2016, and as Invited Professor at the EPFL (Lausanne, Switzerland) in 2013, and at MPI (Jena, Germany) in 2018.

Prof. Camps-Valls research activities have resulted so far in a total of 250 peer-reviewed international journal papers, 300+ international conference papers, 25 book chapters, and in editing 5 books on remote sensing, image processing and machine learning: “Kernel methods in bioengineering, signal and image processing” (IGI, 2007), “Kernel methods for remote sensing data analysis” (Wiley & Sons, 2009), “Remote Sensing Image Processing” (MC, 2011), “Digital Signal Processing with Kernel Methods” (Wiley & Sons, 2018), and “Deep Learning for the Earth Sciences” (Wiley & Sons, 2021). He has a h-index of 76 in Google Scholar, with more than 27000 citations, from which 16000+ were received in the last 5 years. He was listed as a highly cited researcher in 2011, 2020
and 2021, and Thomson Reuters ScienceWatch identified my activities as Fast Moving Front research as the Essential Science Indicators identified me as the author of the most-cited paper in the area of Engineering in 2011. That was the seminal work about the introduction of kernel methods to the remote sensing and geoscience community. More than 5 papers received more than 1000 citations each, and a paper about information fusion with kernels received the Google Classic paper award. He has published seminal papers in Nature, Nature Communications, Science Advances, and PNAS.

He is a referee and Program Committee member of many international journals and conferences. He has served on the Program Committees of International Society for Optical Engineers (SPIE) Europe, International Geoscience and Remote Sensing Symposium (IGARSS), Machine Learning for Signal Processing (MLSP), and International Conference on Image Processing (ICIP) among others. He was the Technical Program Chair at IEEE IGARSS 2018, València (2400+ attendees), and the General Chair of AISTATS 2022, València. Since 2007 he is member of the Data Fusion technical committee of the IEEE GRSS, and of the MLSP TC of IEEE SPS. He is (or has been) Associate Editor of “IEEE
Trans. Sig. Proc.”, “IEEE Sig. Proc. Lett.”, “IEEE Geosc. Rem. Sens. Lett.”, and Guest Editor of “IEEE Jour. Sel. Topics in Sig. Proc.”. He was member of the MTG-IRS Science Team (MIST) of the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), since 2019 he is an Invited Professor Fellow of the ESA PhiLab, and since 2021 acts as board member of the European Science Foundation advising ESA, EU and national space agencies. Since 2019 he is an ELLIS Fellow and coordinates the ‘Machine
Learning for Earth and Climate Sciences’ research program of ELLIS.eu, and node member in ELISE and AI Doctoral Academy (i-AIDA) for the advancement of AI in Europe. Prof. Camps-Valls is habitual evaluator of project proposals for H2020 programs (ERC, FET), NSF, China Science Foundation, Swiss Science Fundation, etc.

Prof. Camps-Valls was included in the prestigious IEEE Distinguished Lecturer program of the IEEE GRSS (2017), elevated to IEEE Fellow in two Societies (Geosciences and Signal Processing, in 2018), and has received two European Research Council (ERC) grants: an ERC Consolidator grant (2015) and an ERC Synergy grant (2019) to advance AI for the Earth and Climate Sciences.

 

 

🏅 Blaise Pascal Medal in Earth and Environmental Sciences (2025)

Awarded in recognition of Prof. Gustau Camps-Valls’ groundbreaking contributions to Earth and environmental sciences, particularly through the development of hybrid artificial intelligence and causal inference approaches for climate and Earth system modelling. His pioneering integration of machine learning with physical laws has fundamentally transformed the analysis, interpretation, and prediction of complex environmental phenomena.

Through his leadership of major international research initiatives and his role in bridging AI, climate science, and Earth observation, Prof. Camps-Valls has enabled a paradigm shift from purely data-driven correlations to scientifically interpretable, causally grounded models. His work continues to shape global research efforts addressing climate change, extreme events, and environmental sustainability.