Biography

Alejandro Ribes graduated in Computer Science (Bachelor and Master) from the Universitat Jaume I, Castelló, Spain. After graduating, he worked in the "Robotic Simulation Department" of BYG, a Nottingham-based company that produced graphical simulation and control software for industrial robots. He then joined the Visual Geometry Group at the University of Oxford, UK, as a research assistant. After this experience, he moved to Sophia-Antipolis, France, to pursue a master's degree in image processing and computer vision. As part of this master, he had a seven-month internship in EPIDAURE, a former medical image processing research group of the INRIA institute.

Alejandro Ribes also holds a Ph.D. in Multispectral Imaging applied to Fine Art Paintings from the former Ecole Nationale Supérieure des Télécommunications (currently Télécom ParisTech), Paris, France. This Ph.D. was funded by the European project CRISATEL, whose objective was the application of digital technology to art paintings. In fact, various methods developed were applied to fine art paintings. For example, 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 developed during this thesis.

Alejandro Ribes was also a postdoctoral researcher at the French Atomic Energy Commission (CEA), 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 has also worked on MRI technology as a visiting scholar at the National Yang-Ming University, Taipei, Taiwan. 

In 2009, Alejandro Ribes became a Research Scientist  in the R&D department of EDF, a large European electrical company. His activities were aimed at developing tools for the analysis, visualization and interpretation of the results of complex numerical simulations. These simulations often consist of solving partial differential equations using supercomputers, a process that generates massive amounts of data. In this context, he has focused on: 1) the development of visual analysis methods to deal with uncertainty propagation and sensitivity analysis, 2) the design and development of innovative methods for in-situ analysis of large numerical simulations on supercomputers.

Alejandro Ribes became Principal Research Scientist at EDF in December 2016, and started to introduce artificial intelligence-based methods in the context of advanced numerical simulations. He is currently a member of SINCLAIR (an industrial AI lab), where he works mainly 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 using supercomputers (this activity is part of the EU-funded REGALE project).

Alejandro Ribes also collaborates with Sorbonne Université (Paris), from 2013 to 2019 he lectured in courses on image processing and image sensors. For several years, he also collaborated with the Electronics Laboratory of this university to build a non-destructive inspection system for industrial polymers. This activity became an EU funded project (El-Peacetolero) in 2020.