(listed in alphabetical order; click on a name for a short bio)
Leila Amgoud is a researcher at the French National Research Agency in I.R.I.T. (Institut de Recherche en Informatique de Toulouse). She is a specialist in argumentation theory. She has developed an original approach to preference-based argumentation, and has published several papers on applying argumentation for modelling decision making, learning, handling inconsistency, merging conflicting bases, and practical reasoning. She has also made significant contributions to work on argumentation based dialogue systems; in particular persuasion and negotiation dialgoues. Dr. Amgoud has given three invited talks on argumentation, and its application in MAS. She also supervises Masters and PhD students working on argumentation, and gives a course on Argumentation based Dialogue for Master students at the René Descartes University in Paris.
Christian Borgelt received his diploma (M.Sc.) in computer science from the University of Braunschweig, Germany, in 1995. After spending a year at the Daimler-Benz Research Center Ulm, he became a Ph.D. student at the University of Magdeburg, Germany, and received his Ph.D. in computer science in 2000. He was awarded the Ph.D. Prize 2000 and the Research Prize 2002 of the faculty of computer science of the University of Magdeburg, Germany. In 2006 he received the venia legendi for computer science, again from the University of Magdeburg, Germany.
He published over 100 papers in national and international conferences, workshops, books, and journals, co-authored two books (one on graphical models and one on neuro-fuzzy systems) and co-edited two conference proceedings (IDA 2003 and GfKl 2005) as well as a special journal issue (Int. Journal of Approximate Reasoning). He is also well known in the data mining community for a large number of free implementations of data mining algorithms, including frequent item set mining, decision tree induction, artificial neural network training, Bayes classifier induction, regression, graphical model learning etc.
His current research interests are very diverse and include molecular and graph mining, (approximate) frequent item set mining, graphical models for diagnosis and planning, learning graphical models from data, prototype-based classification and clustering and several other intelligent data analysis methods.
Christian Borgelt is currently the Chair of COST Action IC0702: SoftStat.
Degree in Mathematics (1971). Fellowship and Research contract at University of Perugia from 1973 to 1976. Lecturer of "Mathematical Analysis" at University of Perugia (1976-1983), Associate Professor of "Probability" at University of Perugia (1984-1989). Full Professor of "Financial Mathematics" at University of Palermo (1990-93).
Present position: Full Professor (since 1993) of "Probability Theory" and at University of Perugia.
Since 1994 to 1998 and since 2001 to 2004 Head of the Department of Mathematics and Informatics, Perugia University.
Since 2003: Coordinator of the "Dottorato di Ricerca" (Ph.D. school) in "Mathematics and Informatics for handling information and knowledge" at the University of Perugia.
Since 2006 President of Computer Science Faculty, Perugia University.
She is author of more than 120 papers published in international journals, in books or in proceedings of international conferences. She is coauthor of a book 1 book (in probabilistic reasoning) and co-editor of 3 books, 2 special journal issues (Softcomputing and Int. Journal of Approximate Reasoning) and two conference proceedings.
Her current research lines are: Reasoning under partial knowledge, Uncertainty measures, Similarity measures and Decision theory.
Ana Colubi is associate professor at the University of Oviedo. She obtained her Ph.D. in Mathematics at this university in 2000 and works at the Department of Statistics and Operations Research, and at the Institute of Zoning and Natural Resources (INDUROT).
Her main research interests are in the field of probability and statistics with imperfect/incomplete data, parametric/nonparametric statistics and the application of statistical methods in environmental and soil sciences.She is co-author of more than 20 papers in JCR journals, as well as more than 40 peer-reviewed scientific publications in international conferences. She has participated in one European COST action, 5 national research projects and several contracts for the Principado de Asturias. Currently she is area editor of Statistics in Fuzzy Sets and Systems and associate editor of Computational Statistics and Data Analysis.
Thierry Deneoux graduated in 1985 as an engineer from the Ecole Nationale des Ponts et Chaussées in Paris, and received a doctorate from the same institution in 1989. Currently, he is Full Professor with the Department of Information Processing Engineering at the Université de Technologie de Compiégne, France. His research interests concern the theory of belief functions, fuzzy data analysis and, more generally, the management of imprecision and uncertainty in data analysis, pattern recognition and information fusion. He is the Editor-in-Chief of the International Journal of Approximate Reasoning, and a member of the editorial board of Fuzzy Sets and Systems.
Peter Filzmoser received his diploma in applied mathematics in 1993 from the Vienna University of Technology, Austria. At the same university he wrote his doctoral thesis which he finished with an award in 1996 to visit the Antwerp group of robust statistics. Since his habilitation in 2001 he is professor at the Statistics Department at the Vienna University of Technology. He was visiting professor at the Universities of Vienna, Toulouse, and Minsk.
He has published about 70 articles in journals, books and conference proceedings, and has co-edited several conference proceedings and special journal issues.
He co-authored two recent introductory statistics books (Wiley, CRC Press) with special focus on environmental statistics and chemometrics.
His main research interest is in robust statistical methods. He is interested in the development of new methods, new algorithms, and applications in various fields. He contributed to the R project with several new R packages.
María Ángeles Gil has a degree in Mathematics from the University of Valladolid (1976) and a PhD in Mathematics from the University of Oviedo (1979). Since 1976 she joined the University of Oviedo through different positions and since 1992 she is Professor of Statistics and Operations Research in this university.
She has published around 200 papers (in journals, book series and conference proceedings), edited some special issues of international journals and some books. She has headed 7 three-years long National Projects and supervised/co-supervised 12 PhD Theses. She is chairing the Research Group SMIRE (http://bellman.ciencias.uniovi.es/SMIRE) and is a permanent member of the Advisory Committee for the SMPS series of conferences, which were driven and launched by such a committee. All these activities are closely related to Data Analysis with Imprecise Information/Methods. She participates in the European COST Action IC0702: SoftStat, where she is chairing Working Group C.
Her research interests at present can be summarized with the label "statistical methodologies for handling fuzzy experimental data and their applications to statistical methodologies about the distribution of classical random variables."
She is Co-Chair of the Specialized Group on "Fuzzy Statistical Analysis" of the ERCIM Working Group "Computing & Statistics".
Manfred Gilli is Professor emeritus at the Department of Econometrics at the University of Geneva, Switzerland, where he taught numerical methods in economics and finance. His main research interests include the numerical solution of large and sparse systems of equations, parallel computing, heuristic optimization techniques, and numerical methods for pricing financial instruments. He is a member of the advisory board of Computational Statistics and Data Analysis and member of the editorial boards of Computational Economics and the Springer book series on Advances in Computational Economics and Advances in Computational Management Science.
Gil González Rodríguez has a degree in Mathematics (1996), an intermediate degree in Computer Sciences (1998) and a PhD in Mathematics from the University of Oviedo. He has worked as assistant professor in the department of Statistics and Operations Research of the University of Oviedo and he has developed several projects as statistician in the Statistical Consultancy of the University of Oviedo (1998) and the Natural Resources and Zoning Institute (Indurot, since 2002).
He has published more than 50 works in journals, books and conference proceedings, co-authored one book, and participated in one European COST action, 5 national research projects and several contracts for the Principado de Asturias. He has co-organized invited sessions in various conferences, and the 2nd International Conference on Soft Methods in Probability and Statistics (2004).
In February, 2007 he has joined the European Centre for Soft Computing as associated research in the laboratory on Intelligent Data Analysis and Graphical Models.
His current research lines are: parametric estimation and hypothesis testing involving fuzzy data, regression and correlation analysis for fuzzy data (linear models and non-parametric models), fuzzy representation of real random variables with applications to the graphical and inferential analysis of real distributions, clustering analysis of fuzzy and crisp data based on variability decomposition, and statistical applications in forestry and environmental studies.
Mario Guarracino is researcher at High Performance Computing and Networking Institute of the Italian National Research Council. He received a PhD in Mathematics defending a thesis on projection techniques for parallel sparse linear algebra and an Ms in Applied Mathematics. His postdoctoral training from National Research Council focused on low cost high performance architectures for scientific computing. He has been visiting University of Florida in years 2005, 2006 and 2008, and Polish Academy of Science in 2007.
He has taught various undergraduate courses in both computer science and mathematics.
His research interests include machine learning methods for computational biology and planning and development of high performance computational components for parallel and distributed problem solving environments. He is author of several publications in the field of high-performance scientific computing, computational biology and machine learning.
Raimundas Jasinevicius (born in Kaunas 1936) - professor of Systemology at the Computer Engineering Department of the Kaunas University of Technology and a part time professor of Diplomacy and International Law at the Institute of Diplomacy and Political Science at the Vytautas Magnus University in Kaunas, ambassador of Lithuania, member of the IEEE.
Research fields: Systems theory, Neurocomputing, Character Recognition, Petri nets, Fuzzy expert maps, Fuzzy cognitive maps and applications for international relations; e-Diplomacy.
Large scale projects: Concept of the information system for the the air traffic control in Lithuania airspace; Computerized police information systems for the Ministry of Internal Affairs; Tempus project on curricula modernization in information technology at the universities of Lithuania; SoC for SME project for 5 Nordic countries and 3 Baltic states.
Engagement abroad: Research at the Cybernetics Center at the Genoa University (Italy 1967), UCLA (USA 1973), UMIST, City University and King's College (UK, 1976 and 1994), ambassador of the Republic of Lithuania to Denmark and Iceland (from 1994 till 2001).
Publications: 3 monographs, 1 reference dictionary and 120 papers and articles on systems theory as well as on international political affairs and humanitarian problems.
Domingo Morales was born in Las Palmas de Gran Canaria, Spain, in 1958. He graduated in mathematics in 1980 and received the Ph.D. degree in statistics and operations research in 1984, both from Complutense University of Madrid. From 1981 to 1997, he was teaching at the Department of Statistic and Operations Research of the Complutense University Madrid. Since 1998 he is full professor in the Department of Statistics, Mathematics and Computer Sciences of the Miguel Hernández University of Elche. His research interest includes statistical information theory and small area estimation.
Domingo Morales has been general secretary of the Spanish Society of Statistics and Operations Research (SEIO) from 1994 to 2001 and president of this society from 2004 up to 2007. He is Editor-in-chief of TEST since January 2009 and Associate Editor of Computational Statistical and Data Analysis since March 2007. He has participated in more than 30 financed research projects of theoretical or applied character, two of them (EURAREA and SAMPLE) funded by the European Commission. He has published more than 110 papers in Statistical Journals.
Frank Klawonn received his M.Sc. and Ph.D. in mathematics and computer science from the University of Braunschweig in 1988 and 1992, respectively. He has been a visiting professor at Johannes Kepler University in Linz (Austria) in 1996 and at Rhodes University in Grahamstown (South Africa) in 1997. He is now the head of the Lab for Data Analysis and Pattern Recognition at the University of Applied Sciences in Wolfenbüttel (Germany). His main research interests focus on techniques for intelligent data analysis, especially clustering and classification. He is an area editor of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems and a member of the editorial boards of the International Journals of Information Technology and Intelligent Computing, Fuzzy Sets and Systems, Data Mining, Modelling & Management, Hybrid Information Technology, Knowledge Engineering & Soft Data Paradigms as well as Mathware & Soft Computing.
Frank Klawonn is currently the Vice-Chair of COST Action IC0702: SoftStat.
Leon van der Torre obtained his PhD from the University of Rotterdam in 1997, with his PhD thesis entitled "Reasoning about obligations: preferences in defeasible deontic logic". He started as a full professor in intelligent systems in January 2006, where he is responsible for strategic priority P1 on security and reliability of University of Luxembourg, member of executive committee ERCIM representing Luxembourg, and member of Domain committee ICT of COST representing Luxembourg. On May 2nd, 2007, he gave his inaugural speech entitled "Violation games: a new approach of handling norms in intelligent systems". He works on deontic logic, knowledge representation and multiagent systems. He developed the BOID agent architecture (with colleagues from Vrije Universiteit), the input/output logics (with David Makinson) and the game-theoretic approach to normative multiagent systems (with Guido Boella from University of Turin). He is the author of over 160 papers indexed by DBLP and 30 papers in disciplines outside computer science, and lectured at various conferences and summer schools (including AAMAS, PRIMA, IAT, EASSS, ESSLLI).
Leon van der Torre is currently the Domain Committee Rapporteur COST Action IC0702: SoftStat.
Peter Winker studied mathematics and economics in Konstanz and Paris. After graduating in mathematics (1991), he obtained a PhD in economics (1996) and passed his habilitation in economics and econometrics at the University of Mannheim (2000). He became associate professor of quantitative methods at the International University in Germany, Bruchsal in 2001, full professor of economics at the University of Erfurt in 2002, and since 2006 he is full professor of statistics and econometrics at the University of Giessen.
His main research interests are computational methods in statistics and econometrics. He is coordinator of the Marie Curie research and training network COMISEF (computational optimization methods in statistics, economics and finance). Peter Winker is co-chair of the specialized group on "Optimization Heuristics in Estimation and Modeling" of the ERCIM working group "Computing & Statistics". He is managing editor of the Journal of Economics and Statistics (Jahrbücher fuer Nationalökonomie und Statistik) and Associate Editor of Computational Statistics & Data Analysis and the Central European Journal of Economic Modeling and Econometrics.
Peter Winker currently works on simulation based estimation methods for agent based models, heuristic optimization methods in statistical modeling and estimation, optimization in credit risk and portfolio management, issues in migration, education and development and other fields of applied economics (e.g. education, innovation and growth).