European Academy of Sciences
Member Profile

Gustau Camps-Valls


Gustau Camps-Valls
Year of Election
Earth and Environmental Sciences Division
Country/Region of working/living
València, Spain
Universitat de València
Full professor at Dep. Eng. Electrònica, Universitat de València Head of Image and Signal Processing (ISP) group, Universitat de València
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,, 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.