Plenary Speakers

Eyke Hüllermeier

Eyke Hullermeier
Eyke Hüllermeier is with the Department of Mathematics and Computer Science at Marburg University (Germany), where he holds an appointment as a full professor and heads the Computational Intelligence Group. He holds MSc degrees in mathematics and business computing, a PhD in computer science, and a Habilitation degree, all from the University of Paderborn (Germany). Prior to his current appointment, he held positions at the Universities of Dortmund, Toulouse and Magdeburg.

His research interests are focused on methodological foundations of intelligent systems, especially on machine learning and reasoning under uncertainty. Besides, he is very interested in the application of AI methods in other fields, including the life sciences and engineering.

He has published more than 200 research papers on these topics in top-tier journals and major international conferences, and several of his contributions have been recognized with scientific awards. Professor Hüllermeier is Co-Editor-in-Chief of Fuzzy Sets and Systems, one of the leading journals in the field of Computational Intelligence, and serves on the editorial board of several other journals, including Machine Learning, IEEE Transactions on Fuzzy Systems, International Journal on Approximate Reasoning, and Advances in Data Analysis and Classification. Moreover, he is a regular member of the program committee of major international conferences in the fields of Computational and Artificial Intelligence. He is a coordinator of the EUSFLAT working group on Machine Learning and Data Mining and the head of the IEEE CIS Task Force on Machine Learning.

Inés Couso

Ines Couso
Inés Couso received the M.Sc. degree in Mathematics in 1995 and the PhD degree in Statistics in 1999, both from the University of Oviedo (Spain). She is Associate Professor with the Department of Statistics and Operational Research of the same university. She has been a visiting scholar at the Université Paul Sabatier (IRIT, Toulouse) in 2009 and the Université de Montpellier 2 (LIRMM, Montpellier) in 2011. She is currently Area Editor of the International Journal of Approximate Reasoning and member of the editorial board of Fuzzy Sets and Systems.

Her research interests comprise imprecise probabilities, random sets, fuzzy random variables, fuzzy meta-information, uncertainty models, statistics with low quality data.

Bernard De Baets

Bernard De Baets
B. De Baets holds an M.Sc. degree in Mathematics (1988), a Postgraduate degree in Knowledge Technology (1991) and a Ph.D. degree in Mathematics (1995). He is a Full Professor (2008) in Applied Mathematics at Ghent University, Belgium. He is an affiliated professor (2009) at the Anton de Kom Universiteit (Suriname) and an Honorary Professor (2006) of Budapest Tech (Hungary). He was a Government of Canada Award holder (1988-89) at the Intelligent Systems Research Laboratory of the University of Saskatchewan. He was elected Fellow of the International Fuzzy Systems Association in 2011 and has been nominated for the 2012 Ghent University Prometheus Award for Research.

He is leading the research unit Knowledge-based Systems (KERMIT) at the Faculty of Bioscience Engineering at Ghent University, which is an interdisciplinary team of (bio-)engineers, computer scientists and mathematicians. Its current activities consist of three interwoven threads: knowledge-based, predictive and spatio-temporal modelling.

The bibliography of B. De Baets comprises more than 300 publications in international peer-reviewed journals, 60 chapters in books and 270 contributions to proceedings of international conferences. He is the co-editor-in-chief (2007) of Fuzzy Sets and Systems and member of the editorial board of several other journals.