The chairs of ISIPTA ’17 and ECSQARU 2017 are pleased to announce the following invited speakers.
- Leila Amgoud (IRIT, France)
- Alessio Benavoli (IDSIA, Switzerland)
- Jim Berger (Duke University, US)
- Didier Dubois (IRIT, France)
- Eyke Hüllermeier (Paderborn University, Germany)
More information about the speakers are reported here below. Titles and abstracts of the talks will be provided soon.
Leila Amgoud is a senior CNRS researcher at IRIT lab, Toulouse, France. She earned her PhD in computer science from University of Toulouse in 1999. Her research interests include argumentation-based reasoning, nonmonotonic reasoning, inconsistency management, and modeling interactions between autonomous agents (negotiation, persuasion). She serves regularly as program committee member of multiple Artificial Intelligence conferences, and is in the editorial board of the Argument and Computation Journal. She published more than 120 peer-reviewed papers. She is ECCAI fellow since 2014.
Alessio Benavoli received his degrees in Computer and Control Engineering from the University of Firenze, Italy: the Ph.D in 2008 and the M.S. degree in 2004. From April 2007 to May 2008, he worked for the international company SELEX-Sistemi Integrati as system analyst. Currently, he is working as Senior researcher at the Dalle Molle Institute for Artificial Intelligence (IDSIA) in Lugano, Switzerland. His research interests are in the areas of imprecise probabilities, logic of science, Bayesian nonparametrics, decision-making under uncertainty and control theory. He has co-authored about 70 peer-reviewed publications in top conferences and journals including Physical Review A, Automatica, IEEE Transaction on Automatic Control, Journal of Machine Learning Research, Machine Learning and Statistics.
Jim Berger is the Arts and Sciences Professor of Statistics at Duke University. His current research interests include Bayesian model uncertainty and uncertainty quantification for complex computer models. Berger was president of the Institute of Mathematical Statistics from 1995-1996 and of the International Society for Bayesian Analysis during 2004. He was the founding director of the Statistical and Applied Mathematical Sciences Institute, serving from 2002-2010. He was co-editor of the Annals of Statistics from 1998-2000 and was a founding editor of the Journal on Uncertainty Quantification from 2012-2015. Berger is a Fellow of the ASA and the IMS and has received Guggenheim and Sloan Fellowships. He received the Committee of Presidents of Statistical Societies ‘President’s Award’ in 1985, was the COPSS Fisher Lecturer in 2001 and the Wald Lecturer of the IMS in 2007. He was elected as a foreign member of the Spanish Real Academia de Ciencias in 2002, elected to the USA National Academy of Sciences in 2003, was awarded an honorary Doctor of Science degree from Purdue University in 2004, and became an Honorary Professor at East China Normal University in 2011.
Didier Dubois is a Research Advisor at IRIT, the Computer Science Department of Paul Sabatier University in Toulouse, France and belongs to the French National Centre for Scientific Resarch (CNRS). He holds a Doctorate in Engineering from ENSAE, Toulouse (1977), a Doctorat d’Etat from Grenoble University (1983) and an Honorary Doctorate from the Faculté Polytechnique de Mons, Belgium (1997). He is the co-author, with Henri Prade, of two books on fuzzy sets and possibility theory, and 12 edited volumes on uncertain reasoning and fuzzy sets. Also with Henri Prade, he coordinated the HANDBOOK of FUZZY SETS series published by Kluwer (7 volumes, 1998-2000, 2 of which he co-edited). It includes the book Fundamentals of Fuzzy Sets , edited again with H. Prade (Kluwer, Boston, 2000). He has contributed about 200 technical journal papers on uncertainty theories and applications. In 2002 he received the Pioneer Award of the IEEE Neural Network Society. Since 1999, he has been co-Editor-in -Chief of Fuzzy Sets and Systems. He has been an Associate Editor of the IEEE Transactions on Fuzzy Systems, of which he is now an Advisory Editor. He is a member of the Editorial Board of several technical journals, such as the International Journal on Approximate Reasoning, and Information Sciences among others. He is a former president of the International Fuzzy Systems Association (1995-1997). His topics of interest range from Artificial Intelligence to Operations Research and Decision Sciences, with emphasis on the modelling, representation and processing of imprecise and uncertain information in reasoning, problem-solving tasks and risk analysis.
Eyke Hüllermeier is a full professor in the Department of Computer Science at Paderborn University, Germany, where he heads the Intelligent Systems Group. He graduated in mathematics and business computing, received his PhD in computer science from the University of Paderborn in 1997, and a Habilitation degree in 2002. Prior to returning to Paderborn in 2014, he spent two years as a Marie Curie fellow at the Institut de Recherche en Informatique de Toulouse (IRIT) in France (1998-2000) and held professorships at the Universities of Marburg (2002-04), Dortmund (2004), Magdeburg (2005-06) and again Marburg (2007-14). His research interests are centered around methods and theoretical foundations of intelligent systems, with a specific focus on machine learning and reasoning under uncertainty. He has published more than 200 articles 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, the International Journal of Approximate Reasoning, and the IEEE Transactions on Fuzzy Systems. He is a coordinator of the EUSFLAT working group on Machine Learning and Data Mining and head of the IEEE CIS Task Force on Machine Learning.