Francisco Herrera


Francisco Herrera (SM'15) received his M.Sc. in Mathematics in 1988 and Ph.D. in Mathematics in 1991, both from the University of Granada, Spain. He is currently a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada and Director of DaSCI Institute (Andalusian Research Institute in Data Science and Computational Intelligence).

He has been the supervisor of 44 Ph.D. students. He has published more than 400 journal papers, receiving more than 66000 citations (Scholar Google, H-index 132). He is co-author of the books "Genetic Fuzzy Systems" (World Scientific, 2001) and "Data Preprocessing in Data Mining" (Springer, 2015), "The 2-tuple Linguistic Model. Computing with Words in Decision Making" (Springer, 2015), "Multilabel Classification. Problem analysis, metrics and techniques" (Springer, 2016), “Multiple Instance Learning. Foundations and Algorithms" (Springer, 2016) and “Learning from Imbalanced Data Sets” (Springer, 2018).

He currently acts as Editor in Chief of the international journals "Information Fusion" (Elsevier) and “Progress in Artificial Intelligence (Springer). He acts as editorial member of a dozen of journals.

He received the following honors and awards: ECCAI Fellow 2009, IFSA  Fellow 2013, 2010 Spanish National Award on Computer Science ARITMEL to the "Spanish Engineer on Computer Science", International Cajastur "Mamdani" Prize for Soft Computing (Fourth Edition, 2010), IEEE Transactions on Fuzzy System Outstanding 2008 and 2012  Paper Award  (bestowed in 2011 and 2015 respectively),  2011  Lotfi A. Zadeh Prize Best paper Award (IFSA Association), 2013 AEPIA Award to a scientific career in Artificial Intelligence, 2014 XV Andalucía Research Prize Maimónides, 2017 Security Forum I+D+I Prize,  2017 Andalucía Medal (by the regional government of Andalucía), 2018  “Granada: Science and Innovation City”. Recently he has been nominated as member of the Spanish Royal Academy of Engineering (RAI).   He has been selected as a Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively, 2014 to present, Clarivate Analytics).

His current research interests include among others, Computational Intelligence (including fuzzy modeling, computing with words, evolutionary algorithms and deep learning), information fusion and decision making, and data science (including data preprocessing, prediction and big data).