Gustavo Camps-Valls received a B.S. degree in physics (1996), a B.S. degree in electronics engineering (1998), and a Ph.D. degree in physics (2002) from the Universitat de València, Spain. He serves currently as an Associate Professor at the Department of Electronics Engineering at the Universitat de València, where he teaches electronics, time series processing, machine learning, and remote sensing image processing. His research interests are tied to the development of machine learning algorithms for signal and image processing. 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 coauthor) of 70 international journal papers, more than 80 international conference papers, several international book chapters, and Editor of the books Kernel Methods in Bioengineering, Signal and Image processing (IGI, 2007) and Kernel Methods for Remote Sensing Data Analysis (Wiley & sons, 2009). He serves as 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 serves as a Member of the data fusion technical committee of the IEEE Geoscience and Remote Sensing Society, and since 2009, he serves as a Member of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society. Visit http://www.uv.es/gcamps for more information.
Biography Updated on 18 January 2011