Francisco Herrera
University of 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 a Professor in the Department of Computer Science and Artificial Intelligence at the University of Granada and Director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI). He is an EurAI Fellow 2009 and IFSA Fellow 2013. He’s an academician at the Spanish Royal Academy of Engineering. He has been the supervisor of 60 Ph.D. students. He has published more than 600 journal papers, receiving more than 164000 citations (Scholar Google, H-index 189). He has been nominated as a Highly Cited Researcher (in the fields of Computer Science and Engineering, respectively, 2014 to present, Clarivate Analytics). He acts as editorial member of a dozen of journals. His current research interests include among others, computational intelligence, information fusion and decision making, trustworthy artificial intelligence and data science (including data preprocessing, prediction and big data). Committed to the importance of transmitting to society the results of the research, the formation of new generations of researchers, and the development of an ecosystem of digital innovation and artificial intelligence in Granada. Country: Spain Affiliation: Dept. Computer Sciences and Artificial Intelligence, Andalusian Research Institute on Data Science and Computational Intelligence Areas of Interest: Knowledge extraction based on evolutionary learning, Genetic fuzzy systems, Data Mining, Data preparation, Subgroup discovery, Computing With Words and Decision Making, Bibliometrics, Real Coding Genetic Algorithms, Memetic Algorithms.
Country: Spain
Affiliation: Dept. Computer Sciences and Artificial Intelligence, Andalusian Research Institute on Data Science and Computational Intelligence
Areas of Interest:
Knowledge extraction based on evolutionary learning, Genetic fuzzy systems, Data Mining, Data preparation, Subgroup discovery, Computing With Words and Decision Making, Bibliometrics, Real Coding Genetic Algorithms, Memetic Algorithms.
Knowledge extraction based on evolutionary learning, Genetic fuzzy systems, Data Mining, Data preparation, Subgroup discovery, Computing With Words and Decision Making, Bibliometrics, Real Coding Genetic Algorithms, Memetic Algorithms.
9.30 - 10.30 Plenary
Wednesday 15th April
Plenary
Plenary Title:
eXplainaible AI: A cornerstone for AI safety and trustworthiness