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Alejandro Ribes graduated in computer science (bachelor’s and master’s) from the Universitat Jaume I, Castelló, Spain. After graduation he worked in the "Robotic Simulation Department" of BYG, a Nottingham-based company that produced a graphical simulation and control software for industrial robots. He then joined the "Visual Geometry Group" of University of Oxford, U.K., as a research assistant. Following this experience, he moved to Sophia-Antipolis, France, for a master in image processing and computer vision. As part of this master he had a seven-months internship in EPIDAURE, a former group of research in medical image processing of the INRIA institute.

Alejandro Ribes also holds a Ph.D. in multispectral imaging applied to fine art paintings, from the Ecole Nationale Supérieure des Télécommunications, Paris, France. This PhD was funded by the European project CRISATEL which aim was the application of digital technology to art paintings. Indeed, various developed methods were applied to fine art paintings. For instance, the Mona Lisa by Leonardo da Vinci was scanned in October 2004 by members of the CRISATEL project using the calibration, correction and reconstruction systems designed during this PhD.

Alejandro Ribes was also a postdoctoral fellow at the French Atomic Energy Commission, Orsay, France, working on parallel MRI reconstruction. During this postdoc he was appointed as a lecturer at the Computer Science Department of Ecole Polytechnique, Palaiseau, France, where he taught for two years. Alejandro also worked in MRI technology as a visiting scholar at the National Yang-Ming University, Taipei, Taiwan.

Currently Alejandro Ribes holds a permanent position at the R&D of EDF, a major European electrical company. He is responsible of an activity involving the visualization of complex and large industrial data, normally issue from simulations of physical processes. He also collaborates with Sorbonne Université (Paris), from academic year 2013-14, by lecturing image processing and image sensors courses.
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