Invited speakers

Carles Noguera

Carles Noguera was born in 1978. He obtained degrees in Mathematics and Philosophy at the University of Barcelona. As a doctoral student of the Artificial Intelligence Research Institute, under the supervision of Francesc Esteva and Joan Gispert, he obtained a Ph.D. in Logic (2006), again at the University of Barcelona. Later he was a lecturer at the University of Lleida (2006-2007), a postdoc at the University of Siena (2007-2009), and a contracted researcher at the Artificial Intelligence Research Institute (2009-2012). Since 2013 he is a researcher (since 2018 a senior research fellow) at the Institute of Information Theory and Automation, in Prague.

Erich Peter Klement

Erich Peter Klement was born in 1949 and received his PhD in mathematics at the University of Innsbruck. At the Johannes Kepler University Linz (JKU) he obtained his habilitation (1981) and became associate professor in 1993 and full professor in 1998. He held visiting research positions in Berkeley, Marseille and Tokyo, and was teaching in Klagenfurt, Cincinnati and Trento. He was the founder of the Fuzzy Logic Laboratorium Linz-Hagenberg (FLLL), served as dean of the Faculty of Technical and Natural Sciences (2009–2013) and, after his retirement from JKU, as chairman of the Softwarepark Hagenberg. He was/is a member of the editorial board of 17 international journals.

Didier Dubois

Didier Dubois is a Research Advisor at IRIT, the Computer Science Department of Paul Sabatier University in Toulouse, France and has belonged to the French National Centre for Scientific Resarch (CNRS) since 1984. He is the co-author of two books on fuzzy sets and possibility theory, more than 15 edited volumes on uncertain reasoning and fuzzy sets, and co-author of more than 200 technical journal papers. In 2002 he received the Pioneer Award of the IEEE Neural Network Society, and, in 2012, the Scientific Excellence Award from EUSFLAT. His topics of interest range from logic-based Artificial Intelligence to Operations Research and Decision Sciences, with emphasis on the modelling, representation and processing of imprecise and uncertain information in reasoning risk analysis, and problem-solving tasks.

Carlos Lopez-Molina

Carlos Lopez-Molina obtained his PhD degree by the Universidad Publica de Navarra in 2012, with his thesis being focused on the use of fuzzy logic for computer vision, under the supervision of Profs. Bustince and De Baets. Ever since, he has specialized on developing theoretical models in the fuzzy set theory that could be ported to specific applications in the context of life sciences and medicine. His current efforts involve granular comparison and uncertain ground truth management for neural tissue imaging. Currently, he holds a professorship in the Universidad Publica de Navarra, while also being Program Director for the degree on Data Sciences; Also, he is part-time researcher in NavarraBiomed, a biomedical center for applied research.

Steven Schockaert

Steven Schockaert obtained a PhD in Computer Science from Ghent University in 2008. He continued to work at Ghent University as a postdoctoral research fellow until 2011, after which he joined Cardiff University, where he is currently a professor and head of the Data and Knowledge Engineering research group. His current research, in the area of Artificial Intelligence, focuses on reasoning with imperfect information, including various forms of commonsense reasoning. This involves the combination of techniques and ideas from the field of Knowledge Representation and Reasoning with methods from Machine Learning, with applications in Natural Language Processing and Information Retrieval.

Rosana Rodríguez-López

Rosana Rodríguez-López obtained the PhD degree in Mathematics at the University of Santiago de Compostela in 2005. She is working at the Department of Statistics, University of Santiago de Compostela, where she is a member of the research group on Nonlinear Differential Equations. Her research activities are devoted to the study of the properties of the solutions to nonlinear problems and several of her works are focused on the topic of fuzzy differential equations as a tool to handle the uncertainty present in many phenomena. Currently, she is the vice dean of the Faculty of Mathematics at USC. She is a part of the team of founders of CorBi Foundation, whose main aim is to apply mathematics and computation to biomedical problems, neuroscience, etc.