Prof. Francisco Herrera

Head of Research Group SCI2S (Soft Computing and Intelligent Information Systems) Department Computer Science and Artificial Intelligence ETS de Ingenierías Informática y de Telecomunicación University of Granada, E-18071 Granada, Spain


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.

He has been the supervisor of 42 Ph.D. students. He has published more than 400 journal papers that have received more than 60000 citations (Scholar Google, H-index 120). He is coauthor 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).
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 of the International Fuzzy Systems Association, 2013 AEPIA Award to a scientific career in Artificial Intelligence, and 2014 XV Andalucía Research Prize Maimónides (by the regional government of Andalucía), 2017 Security Forum I+D+I Prize, and 2017 Andalucía Medal (by the regional government of Andalucía). 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, soft computing (including fuzzy modeling, evolutionary algorithms and deep learning), computing with words, information fusion and decision making, and data science (including data preprocessing, prediction and big data).

Abstract: Collective intelligente and artificial intelligence

Artificial Intelligence is at the heart of Data Science. The use of intelligent data analysis techniques has led to the development of technologies that are being successfully applied for the extraction of knowledge. The cooperation among intelligent systems as collective intelligence based models to get a consensus among them, ensemble learning, has a long history. It has promise and potentials for future developments.

These intelligent systems together with the availability of massive data, have made Data Science and Big Data technologies very important. They are among the fundamental technologies of the digital transformation that is accelerating the transformation of society and the knowledge-based economy.

In this talk we present the connection and intersection between these intelligent technologies and between big data and data science, throughout all families of intelligent knowledge extraction methods, focused on the collective intelligence and information or process fusion.