Dr. Valdés’s academic formation and scientific activity cover two domains: exact sciences (mathematics and computer science), and natural sciences (earth and environmental sciences). He has a PhD in Mathematics and a BS in physics (geophysics).
His topics of interest in the first stream are: data analytics/mining, machine learning, computational intelligence (neural networks, evolutionary computation, fuzzy logic, probabilistic reasoning, rough sets), and hybrid systems including pattern recognition, data visualization and digital image and signal processing.
In the field of natural sciences, his topics of interest are: geomathematics, mathematical modeling of natural processes, computational intelligence data mining and analysis of earth, environmental sciences and astronomical data, remote sensing, geophysics, geochemistry, paleoclimate and climate change.
In addition he has conducted multidisciplinary research in a broad variety of domains covering biology, medicine, several branches of engineering (civil, aerospace) and astrophysics.
He worked at research institutes and universities in Europe and America. Since 2001 he joined the National Research Council Canada and he is Adjunct Professor at the University of Ottawa and at Carleton University. His record includes 232 publications in books, journals, conference papers and technical reports.