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Enric Trillas

Enric Trillas was born in Barcelona, 1940.

He received his Ph.D, in Sciences from the University of Barcelona and became a professor at the Technical University of Catalonia in 1974. In 1989 he moved to the Technical University of Madrid, where he was a professor at the Department of Artificial Intelligence until September 2006.

Formerly, and among other positions, he was Vice-Rector of the Technical University of Catalonia, President of the High Council for Scientific Research (CSIC), Director General of the National Institute for Aerospace Technology (INTA), Secretary General of the National Plan for Scientific and Technological Research, and Chairman of the company Aerospace Engineering and Services (INSA).

Other than several distinctions and medals, he is a Fellow of the International Fuzzy Systems Association (IFSA), received the Fuzzy Pioneers Award of the European Society for Fuzzy Logic and Technologies, and the Fuzzy Systems Pioneer Award of the IEEE Computational Intelligence Society.

He has published over two hundred papers in Journals, Conference Proceedings, and edited books, as well as several books.

His current research interests are Fundamentals of Fuzzy Set Theories and Fuzzy Logic, Methods of reasoning: conjectures, hypotheses and consequences.

Address:
Enric Trillas
European Centre for Soft Computing
Fundamentals of Soft Computing Research Unit
Edificio Cientifico-Tecnológico
Calle Gonzalo Gutiérrez Quirós s/n
33600 Mieres (Asturias)
Spain
Phone:
(+34)(985)456545
Fax:
(+34)(985)456699
Email:
enric (dot) trillas (at) softcomputing (dot) es
URL:
http://www.softcomputing.es/en/detail.php?cod=132

Lecture:
Fuzzy Sets and Fuzzy Systems

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Claudio Moraga

Claudio Moraga was born in Chile. He received the B.Sc. in Electronics from the Catholic University of Valparaíso, Chile, in 1961. With a Scholarship of the Fullbright Foundation he obtained his M.Sc. in Electrical Engineering from MIT, Cambridge, USA in 1962. His Ph.D. in Electrical Engineering received Claudio Moraga on January 1972 from the Technical University Federico Santa Maria, Valparaiso Chile.

Claudio Moraga served teaching and research positions at the Catholic University and at the Technical University Federico Santa Maria in Valparaíso, Chile. Of this last university he became Academic Vice President. With a Research Fellowship of the Alexander von Humboldt Foundation he moved in 1974 to the University of Dortmund, Germany, where he remained as researcher. In 1985 he became Professor of Computer Science at the University of Bremen, Germany and returned to Dortmund in 1986 to a Professorship in the area of Theory of Automata.

In 2002 Claudio Moraga officially retired from the University of Dortmund, but continued to participate in running Tempus-Projects with Universities of Serbia and Macedonia, as well as in a binational research project with colleagues of the Technical University Federico Santa María in Valparaíso, Chile.

On February 1st. 2006, Claudio Moraga received a Doctorate Honoris Causa from the University of Nis, Serbia and on March 1st. 2006 he joined the European Centre for Soft Computing as Emeritus Researcher.

Address:
Claudio Moraga
European Centre for Soft Computing
Fundamentals of Soft Computing Research Unit
Edificio Cientifico-Tecnológico
Calle Gonzalo Gutiérrez Quirós s/n
33600 Mieres (Asturias)
Spain
Phone:
(+34)(985)456545
Fax:
(+34)(985)456699
Email:
claudio (dot) moraga (at) softcomputing (dot) es
URL:
http://www.softcomputing.es/en/detail.php?cod=131

Lecture:
Neural Networks and Neuro-Fuzzy Systems

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Oscar Cordón
Oscar Cordón received his M.S. degree (1994) and his Ph.D. (1997) both in Computer Science from the University of Granada, Spain, where he was professor at the Dept. of Computer Science and Artificial  Intelligence since 1995 and associate  professor since 2001 until 2007. Since 2006, he is the principal researcher of the "Applications of Fuzzy Logic and Evolutionary Algorithms" Research Unit, at the European Centre for Soft Computing, Spain.

He has published more than 40 papers in international journals indexed at the JCR Science Citation Index and coauthored the book "Genetic Fuzzy Systems: Evolutionary Tuning and Learning of Fuzzy Knowledge Bases" (Singapore: World Scientific, 2001). He has coedited six special issues of  Information Sciences, Mathware & Soft Computing, International Journal of Approximate Reasoning, Fuzzy Sets and Systems, IEEE Transactions on Fuzzy Systems, and Applied Soft Computing, as well as three books. He became Area Editor of the International Journal of Approximate Reasoning in 2005.

He also created and chaired from 2004 to 2007 the Genetic Fuzzy Systems Task Force within the IEEE CIS Fuzzy Systems Technical Committee, and was treasurer of the EUSFLAT Society between 2005 and 2007. He was General Cochairman of the First International Workshop on Genetic Fuzzy Systems (GFS205), Granada, in March 2005. He has worked on 18 research projects (as Coordinator of seven of them) supported by the European Commission, the Spain's and Andalusian Governments, the University of Granada and the Puleva Food S.A. business concerning several aspects of genetic algorithms, fuzzy  systems, genetic fuzzy systems, ant colony optimization and other metaheuristics, and eLearning.  

His current main research interests are in the fields of soft computing for forensic anthropology and medical imaging; genetic fuzzy systems; soft computing and information retrieval; and evolutionary  computation, ant colony optimization and other metaheuristics.

Address:
Oscar Cordón
European Centre for Soft Computing
Applications of Fuzzy Logic and Evolutionary Algorithms Research Unit
Edificio Cientifico-Tecnológico
Calle Gonzalo Gutiérrez Quirós s/n
33600 Mieres (Asturias)
Spain
Phone:
(+34)(985)456545
Fax:
(+34)(985)456699
Email:
oscar (dot) cordon (at) softcomputing (dot) es
URL:
http://www.softcomputing.es/en/detail.php?cod=128

Lecture:
Evolutionary Computation and Genetic Fuzzy Systems

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Gil González
Gil González Rodríguez has a degree in Mathematics (1996), an intermediate degree in Computer Sciences (1998)
and a PhD in Mathematics for the University of Oviedo. He has worked as assistant professor in the department
of Statistics and O.R. 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 conferences, 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
Probabilility 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 analisys of
fuzzy and crisp data based on variability decomposition, and statistical applications in forestry and environmental studies.

Address:
Gil González
European Centre for Soft Computing
Algorithms Research Unit
Edificio Cientifico-Tecnológico
Calle Gonzalo Gutiérrez Quirós s/n
33600 Mieres (Asturias)
Spain
Phone:
(+34)(985)456545
Fax:
(+34)(985)456699
Email:
gil (dot) gonzalez (at) softcomputing (dot) es
URL:
http://www.softcomputing.es/en/detail.php?cod=145

Lecture:
Probability and Statistics for Soft-Computing

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Luciano Sánchez
Luciano Sanchez (M’07) received the electrical engineering degree and the Ph.D. degree from Oviedo University, Spain, in 1991 and 1994, respectively. He is currently an Associate Professor of Computer Science at Oviedo University. In the summers of 1995 and 1996, he was a Visiting Professor at the University of California at Berkeley and at General Electric CRD, Schenectady, NY. His research interests include genetic fuzzy systems and the processing of imprecise data in machine learning problems.

Responsible of the Metrology and Models research group (University of Oviedo).
Professor Sánchez has been Director or responsible of research in 5 of national projects and 13 contracts with Spanish
industries.

Member of the international program committees of many relevant congresses in his area. Frequent reviewer of leading scientific journals.

By the present time he has published 21 scientific papers in refereed journals (16 of them are in
publications with impact factor, ISI catalogues), 9 papers in LNCS series (5 with impact factor in SCI) and
68 papers in books (proceedings of conferences and edited books).

Address:
Luciano Sánchez 
Associate Professor with Universidad de Oviedo
Department of Informatics
Universidad de Oviedo.
Sedes Departamentales 1.1.28.
Campus de Viesques.
33071 Gijón. Asturias.
Spain
Phone:
(+34) 985 182130.
Fax:
(+34) 985 181986.
Email:
luciano (at) uniovi (dot) es
URL:
http://di002.edv.uniovi.es/~luciano

Lecture:
Regression and System Modeling

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Christian Borgelt
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 about 90 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 other intelligent data analysis methods.

Address:
Christian Borgelt
European Centre for Soft Computing
Intelligent Data Analysis and Graphical Models Unit
Edificio Cientifico-Tecnológico
Calle Gonzalo Gutiérrez Quirós s/n
33600 Mieres (Asturias)
Spain
Phone:
(+34)(985)456545
Fax:
(+34)(985)456699
Email:
chirstian (dot) borgelt (at) softcomputing (dot) es
URL:
http://www.softcomputing.es/en/detail.php?cod=130

Lecture:
Frequent item sets

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Sven Crone
 Sven F. Crone has over 8 years of experience in forecasting. He is currently working as an Assistant Professor (Lecturer) at the department of Management Science at Lancaster University Management School, one of the top 3 institutions in the UK, and ranked highly in Europe (top 10) and in the world (32nd). He also serves as the deputy director of the  Lancaster Centre for Forecasting (www.forecasting-centre.com), one of the largest research units in Europededicated to forecasting, headed by Robert Fildes and going back to Gwylim Jenkins of the well known Box-Jenkins-methodology.

Sven received his Dipl.-Kfm. (MBA and BBA equivalent) and PhD (pending) in forecasting with neural networks from Hamburg University, Germany, and was a visiting fellow at Stellenbosch Business School, South Africa, and George Mason University, USA. His research focuses on forecasting and data mining applications, frequently using methods from artificial intelligence. He has authored over 25 articles in international journals and conference proceedings and has given over 45 international presentations in the field. He frequently chairs conference tracks and sessions on forecasting, including the neural network forecasting track at the 2005 & 2006 at the International Symposium on Forecasting of the IIF - International Institute of Forecasters and he is the general chair of the 2006 International Conference on Data Mining, Las Vegas, USA.

 
In addition to his research agenda, Sven has a professional background in IT and management consultancy, where he has supervised various projects in forecasting and demand planning for corporate clients. Some of his recent projects at the Lancaster Centre for Forecasting include event and weather based forecasting with statistical methods for retailer TESCO UK, copper price forecasting with artificial intelligence for producer CODELCO Chile, forecasting advertisement ratings for TV company ITV UK, and implementing international demand planning methods, processes and systems in SAP APO-DP with FMCG producer Beiersdorf AG. Sven frequently provides tutorials for leading associations, e.g. since 2004 for the Institute of Business Forecaster (IBF) in the USA, for the 2005 IEEE summer school in Chile. He regularly provides numerous corporate training courses on forecasting in the UK, Europe, USAand South America. Selected 2005/2006 attendees of his courses include TESCO, Beiersdorf, Barclays, Nestlé, Scottish Power, Capita-Dixons, and the UK Department of Work and Pensions. Additional information may be found on the websites www.forecasting-centre.comand www.neural-forecasting.com.

 

Contact details:

Sven F. Crone
Centre for Forecasting
LancasterUniversityManagementSchool
Lancaster, LA1 4YX
United Kingdom

Tel +44.1524.5-92991
Fax +44.1524.844885

e-mail: s(dot)crone (at) lancaster (dot) ac (dot) uk
Web www.sven-crone.com and www.lums.lancs.ac./forecasting

Lecture: Time Series

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Lawrence O. Hall
Professor Lawrence O. Hall Ph.D. in 1986 in Computer Science from Florida State University.

My research interests lie in hybrid reasoning systems, machine learning, data mining,  pattern recognition and integrating AI into medical image processing. The exploitation of imprecision with the use of fuzzy logic in pattern recognition, AI and learning is a research theme. Parallel learning systems are another area of interest.  I've written a number of papers which have appeared in journals, conferences and books.  I co-edited the 1994 joint North American Fuzzy Information Processing Society (NAFIPS), IFIS and NASA conference proceedings and the 1998 proceedings.  I am a fellow of the IEEE.   I'm a past president of NAFIPS. Also, associate editor for  the IEEE Transactions on Fuzzy Systems, International Journal of Approximate Reasoning, International Journal of Intelligent Data Analysis, and The Handbook of Fuzzy Logic.   I'm the former Editor-in-Chief for the IEEE Transactions on Systems, Man and Cybernetics, Part B , please consider submitting. I was the 2006-07 President of the IEEE Systems, Man and Cybernetics Society , and am presently a member of the IEEE PSPB and EAB

Address:
Lawrence O. Hall
Department of Computer Science and Engineering
University of South Florida
Tampa, Fl. 33620
USA

Phone:
813-971-0129
Fax:
813-974-4195
Email:
hall (at) csee (dot) usf (dot) edu
URL:
http://morden.csee.usf.edu/ailab/hall.html

Lecture:
Fuzzy Classification and Ensembles

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Rudolf Seising

Rudolf Seising studied mathematics, physics, and philosophy at the Ruhr University of Bochum. He received his PhD degree in philosophy of science from the Ludwig Maximilians University of Munich in 1995, and a postdoctoral lecture qualification (PD) in history of science from the this university in 2004 for his book on the. The Genesis of Fuzzy Set Theory and its Initial Applications - Developments up to the 1970s (Studies in Fuzziness and Soft Computing, Vol. 216), Springer-Verlag 2007. He will be the editor of the book Fuzzy Set Theory Philosophy, Logics, and Criticism (Studies in Fuzziness and Soft Computing) Berlin [u.a.]: Springer that will appear in 2008.

He has been scientific assistant for computer sciences at the University of the Armed Forces in Munich from 1988 to 1995 and scientific assistant for history of sciences at the same university from 1995 to 2002. From 2002 to 2008 he was scientific assistant in the Core unit for medical statistics and informatics at the University of Vienna Medical School, which in 2004 became the Medical University of Vienna. Since April 2008 he acts as a professor of the history of science at the Friedrich-Schiller University of Jena, Germany.

He has been visiting scholar at the University of California at Berkeley in 2000, 2001 and 2002. Rudolf Seising is Chairman of the IFSA Special Interest Group on History of Fuzzy Sets - IFSA SIG History and of the EUSFLAT Working Group “Philosophical Foundations”.

Address:
Rudolf Seising
Friedrich-Schiller-University Jena
Institute of History of Medicine, Natural Sciences and Technology - "Ernst-Haeckel-Haus"
Berggasse 7, 07745 Jena
Germany
Phone:
(+49) 3641 9 49514
Email:
rudolf (dot) markus (dot) seising (at) uni-jena (dot) de
URL:
http://www.softcomputing.es/en/detail.php?cod=132

Lecture:
 Soft-Computing: A History of an Interdisciplinary Field

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