The following is only a partial list of speakers. More to follow soon.
- W.M.P. van der Aalst (Netherlands)
- O. Amft (Netherlands)
- J. Bezdek (United States)
- J. Garibaldi (United Kingdom)
- J. Keller (United States)
- H. La Poutré (Netherlands)
- P. Lucas (Netherlands)
- R. Mans (Netherlands)
- J. Ramon (Belgium)
- J.M.C. Sousa (Portugal)
- T. Tervonen (Netherlands)
- M. Verleysen (Belgium)
- A.J.M.M. Weijters (Netherlands)
- J. Zurada (United States)
Prof.dr.ir. Wil van der Aalst is a full professor of Information Systems at the Technische Universiteit Eindhoven (TU/e). Currently he is also an adjunct professor at Queensland University of Technology (QUT) working within the BPM group there. His research interests include workflow management, process mining, Petri nets, business process management, process modeling, and process analysis. Wil van der Aalst has published more than 120 journal papers, 15 books (as author or editor), 250 refereed conference/workshop publications, and 40 book chapters. Many of his papers are highly cited (he has an H-index of 74 according to Google Scholar, making him the Dutch computer scientist with the highest H-index) and his ideas have influenced researchers, software developers, and standardization committees working on process support. He has been a co-chair of many conferences including the Business Process Management conference, the International Conference on Cooperative Information Systems, the International conference on the Application and Theory of Petri Nets, and the IEEE International Conference on Services Computing. He is also editor/member of the editorial board of several journals, including the Distributed and Parallel Databases, the International Journal of Business Process Integration and Management, the International Journal on Enterprise Modelling and Information Systems Architectures, Computers in Industry, Business & Information Systems Engineering, IEEE Transactions on Services Computing, Lecture Notes in Business Information Processing, and Transactions on Petri Nets and Other Models of Concurrency. He is also a member of the Royal Holland Society of Sciences and Humanities (Koninklijke Hollandsche Maatschappij der Wetenschappen).
Oliver Amft is an Assistant Professor at TU Eindhoven (The Netherlands) and a senior research advisor at the Wearable Computing Lab., ETH Zurich (Switzerland). He leads the Activity and Context Technologies Laboratory (ACTLab, www.actlab.ele.tue.nl) at the Signal Processing Systems section of TU Eindhoven.
Oliver received the Dipl.-Ing. (M.Sc.) from Chemnitz Technical University, (Germany) in 1999 and the Dr. sc. ETH (Ph.D.) from ETH Zurich in 2008. Both degrees are in Electrical Engineering and Information Technology. Between 2000 and 2004 Oliver was with ABB Inc. (Switzerland) leading product development of embedded multi-media communication systems as R&D Project Manager and Senior Development Engineer.
Oliver's research interest are in fundamental principles and algorithms for activity recognition and behaviour inference with applications in personal healthcare, Artificial Intelligence, and massively distributed autonomous systems. He initiated and is currently leading the EU-funded project GreenerBuildings, which aims at energy efficient public buildings that adapt to occupant activity and building context. Moreover, he is the principal investigator in several national research efforts on activity recognition and physiological sensor data fusion for automatic dietary monitoring, epileptic seizure detection, and advanced diagnostic tools for neonatal infants.
Jim received the PhD in Applied Mathematics from Cornell University in 1973. Jim is past president of NAFIPS (North American Fuzzy Information Processing Society), IFSA (International Fuzzy Systems Association) and the IEEE CIS (Computational Intelligence Society): founding editor the Int'l. Jo. Approximate Reasoning and the IEEE Transactions on Fuzzy Systems: Life fellow of the IEEE and IFSA; and a recipient of the IEEE 3rd Millennium, IEEE CIS Fuzzy Systems Pioneer, and IEEE technical field award Rosenblatt medals. Jim's interests: woodworking, optimization, motorcycles, pattern recognition, cigars, clustering in very large data, fishing, co-clustering, blues music, wireless sensor networks, poker and visual clustering. Jim retired in 2007, and will be coming to a university near you soon.
Dr Jon Garibaldi received the BSc (Hons) degree in Physics from Bristol University, UK, in 1984 and the MSc and PhD degree from the University of Plymouth, UK, in 1990 and 1997, respectively. He is currently an Associate Professor and Reader within the Intelligent Modelling and Analysis (IMA) Research Group in the School of Computer Science at the University of Nottingham, U.K. Dr Garibaldi has published over 120 papers on fuzzy expert systems and fuzzy modelling, including six book chapters, and has edited two books. His main research interests are modelling uncertainty in human reasoning and especially in modelling the variation in normal human decision making, particularly in medical domains. He has created and implemented fuzzy expert systems, and developed methods for fuzzy model optimisation. His email is email@example.com and his personal webpage is at http://ima.ac.uk/garibaldi.
James M. Keller received the Ph.D. in Mathematics in 1978. He holds the University of Missouri Curators' Professorship in the Electrical and Computer Engineering and Computer Science Departments on the Columbia campus. He is also the R. L. Tatum Professor in the College of Engineering. His research interests center on computational intelligence: fuzzy set theory and fuzzy logic, neural networks, and evolutionary computation with a focus on problems in computer vision, pattern recognition, and information fusion including bioinformatics, spatial reasoning in robotics, geospatial intelligence, sensor and information analysis in technology for eldercare, and landmine detection. His industrial and government funding sources include the Electronics and Space Corporation, Union Electric, Geo-Centers, National Science Foundation, the Administration on Aging, The National Institutes of Health, NASA/JSC, the Air Force Office of Scientific Research, the Army Research Office, the Office of Naval Research, the National Geospatial Intelligence Agency, the Leonard Wood Institute, and the Army Night Vision and Electronic Sensors Directorate. Professor Keller has coauthored over 350 technical publications.
Jim is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) for whom he has presented live and video tutorials on fuzzy logic in computer vision, is an International Fuzzy Systems Association (IFSA) Fellow, an IEEE Computational Intelligence Society Distinguished Lecturer, a national lecturer for the Association for Computing Machinery (ACM) from 1993 to 2007, and a past President of the North American Fuzzy Information Processing Society (NAFIPS). He received the 2007 Fuzzy Systems Pioneer Award and the 2010 Meritorious Service Award from the IEEE Computational Intelligence Society. He finished a full six year term as Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, is an Associate Editor of the International Journal of Approximate Reasoning, and is on the editorial board of Pattern Analysis and Applications, Fuzzy Sets and Systems, International Journal of Fuzzy Systems, and the Journal of Intelligent and Fuzzy Systems. Jim was the Vice President for Publications of the IEEE Computational Intelligence Society from 2005-2008, and is currently an elected Adcom member. He was the conference chair of the 1991 NAFIPS Workshop, program co-chair of the 1996 NAFIPS meeting, program co-chair of the 1997 IEEE International Conference on Neural Networks, and the program chair of the 1998 IEEE International Conference on Fuzzy Systems. He was the general chair for the 2003 IEEE International Conference on Fuzzy Systems.
Peter Lucas is an associate professor and principal investigator with the Institute of Computing and Information Sciences at the University of Nijmegen, the Netherlands, where he is currently leading the Model Based System Development section.
He has been educated as a medical doctor as well as a computer scientist, and has been involved in research in the area of Artificial Intelligence, in particular knowledge-based systems, since the beginning of the 1980s.
He has contributed to this area by theoretical as well as applied research, the latter for the major part focusing on the field of clinical medicine.
At the moment, his research interests include topics such as applied logic and theorem proving, knowledge representation, decision-support systems, model-based diagnosis, Bayesian networks and statistical machine learning.
He is currently leading a number of multidisciplinary projects aiming to deliver medical decision support systems to oncologists, radiologists, ICU doctors, and gynaecologists and their patients.
He has extensively published in AI, computing science and medical informatics journals, wrote and edited a number of AI books, organised a number of workshops in the field, and edited 6 thematic issues of journals on topics mentioned above.
Han La Poutré is head of the research group "Multi-agent and Adaptive Computation" at the CWI (the dutch national research centre for mathematics and computer science) and full professor at Utrecht University. He has a M.Sc. in mathematics from Eindhoven University of Technology and a Ph.D. in computer science from Utrecht University. He has been researcher at Princeton University and Leiden University and full professor at Eindhoven University of Technology.
His research group develops intelligent systems, especially multi-agent systems and computational intelligence techniques. The research has a focus on decentralized and adaptive logistic problems, like for health care logistics, electricity distribution network planning, and transportation logistics.
Ronny Mans received his M.Sc. degree in Computer Science from Eindhoven University of Technology (TU/e) in 2006. At present he is a Ph.D. candidate at the Department of Industrial Engineering and Innovation Sciences at the same university. The topic of the Ph.D. project is on the use of workflow technology in the healthcare domain. His research interests include workflow management, process mining, and discrete event simulation.
Jan Ramon is an ERC principal investigator working at the K.U.Leuven university in Belgium. His interests include both data mining research and its bio-medical applications. In particular, ongoing projects include topics such as graph mining, complexity theory, active learning, chemo-informatics, biological networks, machine learning from genomic data and multi-scale physiological models.
His master and PhD were in the field of computer science, but since then he has developed several multi-disciplinar collaborations with chemists, doctors and biologists. He has contributed to several, both theoretical and applied projects. He has published numerous papers in data mining and machine learning journals and conference proceedings.
João M. C. Sousa was born in 1966 in Lisbon, Portugal. He received the Dip-Ing and the M.Sc. degrees in mechanical engineering from the Technical University of Lisbon, Lisbon, Portugal, in 1989 and 1992, respectively. He received the Ph.D. degree (Dr. -Ing.) in electrical engineering from the Delft University of Technology, the Netherlands, in 1998. He is currently an Associate Professor at the Department of Mechanical Engineering, Technical University of Lisbon, CIS-IDMEC, Portugal. He has authored one book. He has authored or coauthored more than 160 papers and articles in journals and conference proceedings. His main research interests include engineering systems, metaheuristics, fuzzy systems, pattern recognition, and ant colony optimization. The main application area of his research is in Health Care.
I am currently an Assistant Professor of Business Intelligence Systems at the Econometric Institute of the Erasmus University Rotterdam. Before my current job, I was a post-doc researcher at the Dutch Top Institute Pharma's Escher project, work package 3.2, that aims to develop new methods and their software implementations for supporting pharmacological decisions based on information obtained from clinical trials.
My background is in computer science. In 2007 I obtained (with honours) a double-degree of Computer Science from the University of Turku, Finland, and of Management Science from the University of Coimbra, Portugal. I have a strong background in software development, and already during my undergraduate studies I was working part-time as a software developers in various companies. After finishing my PhD in Portugal I spent a year working as a security engineer with a focus on implementation in Bratislava, Slovakia before returning to academia and starting to work in The Netherlands.
My main research expertise is in Multi-Criteria Decision Analysis (MCDA), specifically with Stochastic Multicriteria Acceptability Analysis (SMAA) methods. I'm currently interested in data models for algorithmic MCDA, SMAA for drug benefit-risk analysis, and in decision support for evidence-based medical decision making.
Although I'm academically oriented, I try to keep in touch with reality by doing actual software development. I'm currently active in developing JSMAA and ADDIS. Both of them are open source and transparently developed. This allows for third-party improvements and criticism - something I also value in my scientific production.
Michel Verleysen was born in 1965 in Belgium. He received the M.S. and Ph.D. degrees in electrical engineering from the Université catholique de Louvain (Belgium) in 1987 and 1992, respectively. He was an invited professor at the Swiss E.P.F.L. (Ecole Polytechnique Fédérale de Lausanne, Switzerland) in 1992, at the Université d'Evry Val d'Essonne (France) in 2001, and at the Université ParisI-Panthéon-Sorbonne from 2002 to 2010, respectively. He is now Professor at the Université catholique de Louvain, and Honorary Research Director of the Belgian F.N.R.S. (National Fund for Scientific Research). He is editor-in-chief of the Neural Processing Letters journal, chairman of the annual ESANN conference (European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning), past associate editor of the IEEE Trans. on Neural Networks journal, and member of the editorial board and program committee of several journals and conferences on neural networks and learning. He is author or co-author of more than 200 scientific papers in international journals and books or communications to conferences with reviewing committee. He is the co-author of the scientific popularization book on artificial neural networks in the series "Que Sais-Je?", in French, and of the "Nonlinear Dimensionality Reduction" book published by Springer in 2007. His research interests include machine learning, artificial neural networks, self-organization, time-series forecasting, nonlinear statistics, adaptive signal processing, and high-dimensional data analysis.
A.J.M.M. (Ton) Weijters is associate professor at the school of Industrial Engineering of the Eindhoven University of Technology (TU/e), and member of the BETA research group. His current research focuses on data and process mining (i.e. to extract knowledge from event logs recorded by an information system to analyze the underlying business processes). He is the auteur of more than hundred scientific publications in the mentioned research field. His papers appeared in journals such as Data Mining and Knowledge Discovering, Information Systems, IEEE Transactions on Knowledge and Data Engineering, Artificial Intelligence in Medicine, European Journal of Operational Research, Computers in Industry, Knowledge-Based Systems, AI-Review, etc.
Dr. Jacek M. Zurada serves as a University Scholar and Professor of Electrical and Computer Engineering at the University of Louisville, Louisville, KY. He authored or co-authored several books and over 350 papers in the area of computational intelligence, neural networks learning and logic rule extraction. He has also delivered numerous presentations and seminars throughout the world.
He currently chairs the IEEE TAB Periodicals Committee, the policy and operational procedure formulating body for over 140 IEEE periodicals. He was the Editor-in-Chief of the IEEE Transactions on Neural Networks, and the Associate Editor of the IEEE Transactions on Circuits and Systems and of The Proceedings of the IEEE. In 2004-05, he was the President of the IEEE Computational Intelligence Society. He is an Associate Editor of Neurocomputing, of Neural Networks and of several other international journals.
He holds the title of a National Professor of Poland, the Membership of the Polish Academy of Sciences, and two honorary professorships of Chinese universities. He is an IEEE Fellow and a Distinguished Speaker for IEEE CIS. His hobbies include foreign languages, modern history, biking, off-beaten track travel and music.