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\begin{biography}[{\IG[width=1in,height=1.25in,keepaspectratio]{images/gustavo.jpg}}] {Gustavo Camps-Valls} (M'04, SM'07) was born in Val\`encia, Spain in 1972, and received a B.Sc. degree in Physics (1996), a B.Sc. degree in Electronics Engineering (1998), and a Ph.D. degree in Physics (2002) from the Universitat de Val\`encia. He is currently an Associate Professor in the Department of Electronics Engineering in the Universitat de Val\`encia, where teaches electronics, advanced time series processing, and machine learning for remote sensing. He is also leading researcher at the Image Processing Laboratory (IPL), and has been visiting researcher at the Remote Sensing Laboratory (Univ. Trento, Italy) and at the Max Planck Institute for Biological Cybernetics (T\"ubingen, Germany). His research interests are tied to the development of machine learning algorithms for signal and image processing with special focus on remote sensing data analysis. He conducts and supervises research within the frameworks of several national and international projects, and he is Evaluator of project proposals and scientific organizations. He is the author (or co-author) of 80 international peer-reviewed journal papers, more than 100 international conference papers, 20 international book chapters, and editor of the books ``Kernel methods in bioengineering, signal and image processing'' (IGI, 2007), ``Kernel methods for remote sensing data analysis'' (Wiley \& sons, 2009), and ``Remote Sensing Image Processing'' (MC, 2012). He is a referee of many international journals and conferences, and currently serves on the Program Committees of International Society for Optical Engineers (SPIE) Europe, International Geoscience and Remote Sensing Symposium (IGARSS), International Workshop on Artificial Neural Networks (IWANN), Machine Learning for Signal Processing (MLSP), and International Conference on Image Processing (ICIP). Since 2007 he is member of the Data Fusion technical committee of the IEEE Geoscience and Remote Sensing Society, and since 2009 he is member of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society. He is involved in the MTG-IRS Science Team (MIST) of the European Organisation for the exploitation of Meteorological Satellites (EUMETSAT). He is Associate Editor of the ``ISRN Signal Processing Journal'', ``IEEE Signal Processing Letters'', and ``IEEE Geoscience and Remote Sensing Letters''. Visit http://www.uv.es/gcamps for more information.
\end{biography}
Numberitis
(Sept 2011)

  • Hirsch's h index, h=22
  • Total number of citations: 2176
  • Authors/paper: 3.43
  • Cites/paper: 8.95
  • Cites/year: 90.67
Editorial activities

  • Editor of the book "Kernel methods in bioengineering, signal and image processing" (IGI, 2007)

  • Editor of the book "Kernel methods for remote sensing data analysis" (Wiley & sons, 2009)

  • Associate Editor of "ISRN Signal Processing Journal"

  • Associate Editor of "IEEE Geoscience and Remote Sensing Letters"

  • Guest Associate Editor for the IEEE Journal of Selected Topics in Signal Processing
Relevant international  projects

  • Principal investigator of the project “Consolidation of scientific baseline for MTG-IRS L2 processing: role of nonlinear regression methods” funded by EUMETSAT

  • Principal investigator of the project “Classification of hyperspectral remote sensing images based on semi-supervised kernel methods” funded by the Spanish-Italian Ministries of Science under the Integrated Action programme, MEC/HI2005-0228

  • “Atmospheric Corrections for Fluorescence Signal Retrieval (FLEX-AC) (ES-TEC/Contract No. 20882/07/NL/LvH)” and “FLEX Performance Analysis and Requirements Consolidation Study (ESTEC Contract No. 21264/07/NL/FF)”

  • Researcher in the project MERIS/AATSR Synergy Algorithms for Cloud Screening, Aerosol Retrieval, and Atmospheric Correction (ESRIN/Contract No. 21090/07/I-LG).

  • Principal investigator of the project “HYPERCLASS: Advanced methods for hyperspectral image classification” funded by GV2005-011

  • Researcher in the project “Smart Multispectral System for Commercial Applications (SMARTSPECTRA)” funded by the EU under the IST programme, 2001/C321/17
Involvement in technical societies

  • Member of the Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society

  • Member of the MTG-IRS Science Team (MIST) of EUMETSAT

  • Member of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society

  • Senior Member (SM’07) del Institute of Electrical and Electronics Engineers (IEEE) Society.
Distinctions and awards

  • Thomson Reuters ScienceWatch® identified our paper  as a Fast Moving Front research! The article has been selected by Essential Science IndicatorsSM from Thomson Reuters as the most-cited paper in the whole area of Engineering. Read the interview here!
What's a fast moving front paper? From the database of Essential Science IndicatorsSM from Thomson Reuters, the list of Fast Moving Fronts has been generated by a comparison of the data sets for the current period of January 2005-December 31, 2010, and the previous period of November 2004-October 31, 2010 (sliding 6-year period). As part of this bimonthly processing, Special Topics identifies the Research Fronts that are growing most rapidly in each of the 22 major fields covered by Essential Science Indicators. Fast Moving Fronts are those having the largest percentage increase in number of core papers from one period to the next in their respective fields. The above-mentioned paper has bee selected within the all area of Engineering.

  • Best paper of the IEEE Geoscience and Remote Sensing Society 2011 in the IEEE Geoscience and Remote Sensing Letters. Read the paper!

  • 2nd in the Best Paper Student Competition of the Joint Urban Remote Sensing Event 2009 (Shangai, China)

  • 3rd in the Best Paper Student Competition of the IEEE International Geoscience and Remote Sensing Symposium, IGARSS09 (Capetown, South Africa)

  • Best paper award in the IEEE Workshop on Machine Learning for Signal Processing, MLSP09 (Grenoble, France)

  • Our paper “Kernel Entropy Component Analysis for Remote Sensing Image Clustering” has been selected as the Editor's Choice OA paper for the March 2012 issue of GRSL. Read it for free here!
Online publications and press

ISI/ThomsonReuters identified our paper  as a Fast Moving Front research, as it is one of the most cited papers in the Engineering section. Read the interview here!

New machine-learning paradigm provides advantages for remote sensing. Gustavo Camps-Valls, SPIE Newsroom, 2008 
Cooperation with organizations and companies

We collaborate with several companies, organizations and international agencies in research and development projects:

Past PhD students,  postdocs and visiting researchers

  • Luca Capobianco did the thesis in kernel-based target detection, and he's currently co-Founder and R&D Manager of VidiTrust s.r.l. (Siena, Italy)
  • Devis Tuia did his postdoctoral stay in València in semisupervised and active learning. Now he earned an Ambizione project back to Lausanne.
  • Gabriel Gómez did his master's thesis on kernel image coding and now he works for Analog Devices Co
  • Tatyana Bandos did her master's thesis in smart iterative techniques for SVM speed up. Now she moved to Bilbao.
  • Valero Laparra just finished his PhD thesis in brain science and machine learning, currently he's a post-doc in our lab.
  • Francesca Bovolo stayed in Valencia for a postdoctoral stay focused on one-class support vector machines for change detection. She works in Tranto, Italy at the RSlab.
  • Mattia Marconcini stayed in Valencia to work with semisupervised learning. He then moved to ESA in Rome, Italy.
  • Michele Volpi stayed in Valencia to work with kernel change detection. He is with the IGAR lab at the Univ. Lausanne (Switzerland)
  • Luis Gómez-Chova defended his PhD thesis on semisupervised kernel cloud detection in multispectral imagery. He's an assistant professor at the Electronics dept. in Valencia.
  • Juan Gómez Sanchis defended his PhD thesis on feature selection and identification in multispectral imagery. He's an assistant professor at the Electronics dept. in Valencia.
Organization of International Conferences

  • Member of the technical committee of “International Work-Conference on Artificial Neural Nets”, IWANN 2003.
  • Member of the technical committee and chair of  the sessions “Hyperspectral data analysis I”, “Image Registration and Change Detection”, “Change detection” in the international “SPIE Remote Sensing Symposium. Image and Signal Processing for Remote Sensing”, since 2004.
  • Chair of the special session "Advances in Remote Sensing Image Processing" in IEEE International Conference on Image Processing, 2009. Cairo, Egypt, Nov 2009
  • Chair of the special session "Machine Learning in Remote Sensing Data Processing" in the IEEE Machine Learning for Signal Processing (MLSP) 2009”, Sept. 2009. Grenoble (France).
  • Chair of the special session "Advances in Machine Learning Remote Sensing Data Processing" in the IEEE IGARSS conference 2008-2009
  • Member of the technical committee of the IEEE Sixth International Workshop on the Analysis of Multi-Temporal Remote Sensing Images (MultiTemp 2011), Trento, Italy, July 2011.
  • Habitual session chair in the IEEE IGARSS, SPIE and ICIP conferences since 2003
  • Keynote Speaker at the SPIE conference on Remote Sensing 2011, Prage, Czech Rep.
  • General Chair (with I. Santamaria and J. Arenas) of the IEEE Machine Learning for Signal Processing (MLSP) 2012. Santander, Spain
Proposal evaluation and reviewing activities

Reviewer of the international journals:
  1. “IEEE Transactions on Geoscience and Remote Sensing” (IEEE Society).
  2. “IEEE Geoscience and Remote Sensing Letters” (IEEE Society).
  3. “IEEE Transactions on Signal Processing” (IEEE Society).
  4. “IEEE Transactions on Signal Processing Letters”
  5. “IEEE Transactions on Image Processing” (IEEE Society).
  6. “IEEE Transactions on Neural Networks” (IEEE Society).
  7. “IEEE Transactions on Pattern Analysis and Machine Intelligence”
  8. “IEEE Transactions on Computational Biology and Bioinformatics”
  9. “IEEE Transactions on Biomedical Engineering”
  10. “IEEE Systems, Man and Cybernetics, Part C”
  11. “Journal of Machine Learning Research” (MIT Press).
  12. “International Journal of Artificial Intelligence in Medicine” (Elsevier).
  13. “Pattern Recognition”
  14. “Pattern Recognition Letters” (Elsevier).
  15. “Neurocomputing”
  16. “Remote Sensing of Environment” (Elsevier).
  17. “International Journal of Remote Sensing” (Taylor & Francis).
  18. “Machine Learning” (Springer-Verlag).
  19. “Soft Computing” (Springer-Verlag).
  20. “Artificial Intelligence in Medicine” (Elsevier).
  21. “Journal of Advances in Space Research” (Elsevier).
  22. “Information Sciences” (Elsevier)
  23. “BMC Bioinformatics” (BiomedCentral)
  24. IEEE Sensors Journal
  25. Remote Sensing of Environment
  26. Information Fusion
  27. International Journal of Remote Sensing
  28. Signal Processing
  29. Journal of the Optical Society of America
  30. Pattern Recognition Letters
  31. Applied Optics
  32. Special issue “Intelligent Tools for Problem Solving in Bioinformatics and Medicine” in ”International Journal of Artificial  Intelligence Tools”.
  33. Special issue “Pattern Recognition in Remote Sensing 2004” in Pattern Recognition Letters.

Reviewer of the following international conferences:
  1. IWANN
  2. ICANN
  3. ICML
  4. NIPS
  5. ICIP
  6. IGARSS
  7. SPIE
  8. KES
  9. Whispers
  10. Urban

Reviewer of book proposals:
  1. IGI Inc. http://www.igi-global.com
  2. Springer-Verlag, http://www.springer.com
  3. Wiley & Sons, http://www.wiley.com

Reviewer/Evaluator of international research projects:
  1. “Expert Reviewer” of the “Seventh Research Framework Programme” of the EU
  2. Swiss National Science Foundation (SNSF), Division Mathematics, Physical and Engineering Sciences 
  3. Evaluator of the Belgian programme for remote sensing reasearch projects (Belgian Science Foundation, BELSPO)
  4. Instituto para la Pequeña y Mediana Empresa Valenciana (IMPIVA)
  5. European Space Agency
  6. CICYT project proposals for the Spanish Ministry of Science and Innovation
Private consultancy and patents

  • Do you have an interesting computer science or statistical analysis problem/project? I'd be more than glad to hear about it! I work as a private consultant, and really interested in real-world applications of mathematics and statistics, particularly in geosciences, signal and image processing, but also in other scientific, safety-related areas such as in bioinformatics, speech processing, data mining, medicine, pharmacy and industry.
  • Alone or with colleagues I wrote some software programs for image processing and general-purpose data analysis. They are freely distributed to the scientific community here.
  • J Malo, J Gutiérrez, G Camps-Valls, and MJ Luque. "Method, apparatus and software for color image compression based on non-linear perceptual
     representations and machine learning, 2008. Ref. P200801943 Oficina Española de Patentes y Marcas. 06/20/2008.
(c) copyright 2011. Gustavo Camps-Valls.