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 (20092013) 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.