PhD in Computer Science (Artificial Intelligence) from Universidad de Almería (2014) and PhD in Management Information Systems from Universidad de Huelva (2000)

Bachelor and Master of Science in Computer Science, Universitat Oberta de Catalunya (2006) and Bachelor and Master in Business Administration, Universidad de Huelva (1994)

eXplainable Artificial Intelligence, Distributed Artificial Intelligence, Federated Learning,

Reservoir Computing, Quantum Computing.

Principal Data Scientist at Capgemini Engineering (Hybrid Intelligence division) since 2019

Lead Data Scientist, BBVA New Digital Business, 2018–2019

Vice-President of the International Association of Grey Systems and Uncertainty Analysis since 2016

Artificial Intelligence Research Associate at Universidad Autónoma de Chile since 2014

Arévalo, Irina; Salmerón, José Luis: “A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets”, IEEE Transactions on Emerging Topics in Computing, forthcoming, 2023.

Nápoles, Gonzalo; Salmerón, Jose Luis; Vanhoof, Koen: “Construction and Supervised Learning of Long-Term Grey Cognitive Networks”, IEEE Transactions on Cybernetics, 51(2), 686-695,2021.

Salmerón, Jose Luis; Palos Pedro: “Uncertainty propagation in Fuzzy Grey Cognitive Maps with Hebbian-like learning algorithms”, IEEE Transactions on Cybernetics 49(1), pp. 211-220, 2019.

Salmerón, Jose Luis; Mansouri, Taha; Moghadam, Mohammad Reza Sadeghi; Mardani, Amirhosein: “Learning Fuzzy Cognitive Maps with Modified Asexual Reproduction Optimization algorithm”, Knowledge-Based Systems 163, 723-735, 2019.

Salmerón, Jose Luis; Ruiz-Celma, Antonio; Mena, Ángel: “Learning FCMs with multi-local and balanced memetic algorithms for forecasting drying processes”, Neurocomputing 232, 52-57, 2017.