The 2012 IEEE World Congress
on Computational Intelligence (IEEE WCCI 2012)
Special Session on
Data Regularisation, Fault and Anomaly Detection, Isolation and Mitigation
Peter Tino, Huanhuan Chen, and Xin Yao
Deadline Extension
Notice: The deadline for the Paper Submission of this special session has been extended to 18 January 2012.
Important Dates
Paper submission: 18 January 2012
Paper acceptance notification date: February 20, 2012
Final paper submission deadline: April 2, 2012
Early registration: April 2, 2012
Conference dates: June 10-15, 2012
Topic
Modern societies rely on smooth operation of complex systems often operating in uncertain challenging environments producing data of diverse character - e.g. multidimensional, multi-scale and spatially distributed - often corrupted with significant noise or with observational gaps. In addition, the environment may be subject to non-stationary phenomena and the measurement devices prone to permanent or transient faults, ageing effects or thermal drifts. This poses significant challenges to intelligent systems operating on such data where it is no longer possible to rely on stable re-emerging patterns to take advantage of. Examples include data coming from distributed monitoring and actuating systems such as water distribution networks, manufacturing processes, transportation systems, robotic systems, intelligent buildings, etc.
The aim of this special session is to foster research on robust learning/control/monitoring in such challenging scenarios. It will be a platform to exchange ideas on novel approaches to fault tolerant modeling, monitoring and/or control that can learn characteristics of the monitored environment and adapt their behaviour as well as successfully deal with missing or perturbed data.
All submissions will be reviewed and accepted papers will be included in the proceedings (subject to the payment of conference registration fee). At least one author of an accepted paper is expected to attend the special session and present the paper.
Topics of the special session include, but not limited to:
Submission and Note
All papers are to be submitted electronically through the IEEE WCCI 2012 website
Format: http://www.ieee-wcci2012.org/ieee-wcci2012/index.php?option=com_content&view=article&id=58&Itemid=67
Submit: http://ieee-cis.org/conferences/ijcnn2012/upload.php
Please select the Special Session S40 : Data Regularisation, Fault and Anomaly Detection, Isolation and Mitigation from the "S. SPECIAL SESSIONS" category as the "main research topic".
Organizers
Peter Tino received the M.Sc. degree from the Slovak University of Technology, Bratislava, Slovakia, in 1988 and the Ph.D. degree from the Slovak Academy of Sciences, Bratislava, Slovakia, in 1997. He was a Fullbright Fellow at the NEC Research Institute in Princeton, NJ, USA, from 1994 to 1995. He was a Postdoctoral Fellow at the Austrian Research Institute for AI in Vienna, Austria, from 1997 to 2000, and a Research Associate at the Aston University, UK, from 2000 to 2003. Since 2003 he is with the School of Computer Science, the University of Birmingham, UK, and is currently reader in complex and adaptive systems. He is on editorial board of several journals and a member of two IEEE technical committees. His main research interests include probabilistic modeling and visualization of structured data, statistical pattern recognition, dynamical systems, evolutionary computation, and fractal analysis. Dr. Tino was awarded the Fullbright Fellowship in 1994 and the UK-Hong Kong Fellowship for Excellence in 2008. He was awarded two IEEE Transactions on Neural Networks Outstanding Paper awards (1998, 2011) and one Outstanding IEEE Transactions on Evolutionary Computation Paper Award (2010). In 2002 he won the Best Paper Award at the International Conference on Artificial Neural Networks.
Huanhuan Chen received the B.Sc. degree from the University of Science and Technology of China, Hefei, China, in 2004, and Ph.D. degree, sponsored by Dorothy Hodgkin Postgraduate Award (DHPA), in computer science at the University of Birmingham, Birmingham, UK, in 2008. He was a Research Fellow with the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) in School of Computer Science, University of Birmingham. His research interests include ensemble learning, data mining and evolutionary computation. His PhD thesis on ensemble learning "Diversity and Regularization in Neural Network Ensembles" has received 2011 IEEE Computational Intelligence Society Outstanding PhD Dissertation Award (the only winner), 2009 CPHC/British Computer Society Distinguished Dissertations Award (the runner up), and IEEE Transactions on Neural Networks Outstanding 2009 Paper Award (bestowed in 2011).
Xin Yao received the B.Sc. degree from the University of Science and Technology of China (USTC), Hefei, Anhui, in 1982, the M.Sc. degree from the North China Institute of Computing Technology, Beijing, in 1985, and the Ph.D. degree from USTC in 1990. He is a Chair of Computer Science at the University of Birmingham, UK, the Director of the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA) and a Distinguished Visiting Professor at USTC, Hefei. He was the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation (2003-08), an associate editor or editorial board member of twelve other journals, and the Editor of the World Scientific Book Series on Advances in Natural Computation. He has given more than 60 invited keynote and plenary speeches at international conferences. His major research interests include ensemble learning and evolutionary computation. He has more than 300 refereed publications. He won the 2001 IEEE Donald G. Fink Prize Paper Award, IEEE Transactions on Evolutionary Computation Outstanding 2008 Paper Award (bestowed in 2010), 2010 BT Gordon Radley Award for Best Author of Innovation (2nd Prize), etc.. He is a fellow of IEEE and a Distinguished Lecturer of IEEE Computational Intelligence Society.
Program Committee: