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- Salmerón Silvera José Luis
Salmerón Silvera, José Luis
Quantitative Methods
PhD: Universidad de Almería y Universidad de Huelva
BIO
Professor Salmerón has been teaching Artificial Intelligence at Universidad Pablo de Olavide, in Seville, since 2012. He has taught courses on Computer Science and Information Systems throughout his academic career.
He has been recognised for four sexenios, supervised five doctoral theses and published more than one hundred and fifty scientific articles in highly recognised scientific journals, such as IEEE Transactions on Cybernetics, IEEE Transactions on Fuzzy Systems, Applied Soft Computing, Engineering Applications of Artificial Intelligence, Neurocomputing and others. He has been Principal Investigator in national and European research projects. He is the Vice-President of the China-based International Association of Grey Systems and Uncertainty Analysis since 2016. He is listed in Stanford University’s 2020 list of the world’s top 2% scientists.
He was Lead Data Scientist at BBVA and has been Principal Data Scientist at Capgemini Engineering since 2019.
Education
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)
Research Interests
eXplainable Artificial Intelligence, Distributed Artificial Intelligence, Federated Learning,
Reservoir Computing, Quantum Computing.
Career
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
Publications in Scientific Journals
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.
Otros profesores
