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.

In 2009, Alejandro Ribes became a Research Scientist at the Research & Development department of EDF, a major European electrical company. His activities aimed to create tools for the analysis, visualization, and interpretation of the results of complex numerical simulations. These simulations consist often on the resolution of partial differential equations by use of supercomputers, a process that generates massive data. In this context he focused on: 1) the development of visual analytics methods to deal with uncertainty propagation and sensitivity analysis, 2) conceive and develop innovative methods for the in-situ analysis of large numerical simulations in supercomputers.

Alejandro Ribes became Principal Research Scientist at EDF in December 2016 and started introducing artificial intelligence-based methods in the context of advanced numerical simulation. He is currently a member of SINCLAIR (an industrial AI lab) where he mainly works on physics-inspired deep neural networks and AI techniques for science. He also works on how to scale up deep neural networks for engineering problems by using supercomputers (this activity is part of the REGALE EU-funded project).

Alejandro Ribes also collaborates with Sorbonne Université (Paris), from 2013 to 2019 he lectured in image processing and image sensors courses. For several years, he also collaborated with the laboratory of electronics of this university for building a nondestructive control system for industrial polymers. This activity became an EU-funded project (El-Peacetolero) in 2020.
Accelerator-based Architectures
Data Analytics
In Situ Processing
Scientific Computing
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