Call for papers for WCCI-IJCNN 2008 Special Session on

 

Computational Intelligence for Anomaly Detection, Diagnosis, and Prognosis

(http://www.rpi.edu/~yanw/IJCNN%202008%20Special%20Session.htm)

 

World Congress on Computational Intelligence ( WCCI 2008 )

June 1-6, 2008, Hong Kong

 

News: upon numerous requests, a 2-week grace period will be given after the submission deadline. Late submissions after December 15, 2007 and before January 1, 2008 may be considered only if time permits for review

 

 

Scope of the special session:

 

Technologies for anomaly detection, diagnosis, and prognosis have increasingly found their applications in many different areas in recent years. One application area is for condition-based maintenance (CBM) that recommends maintenance actions based on continuous monitoring of equipment conditions, which has been proved a very cost effective maintenance strategy. Another area is in the healthcare domain, in which early detection and diagnosis of diseases have tremendous impacts on helping saving human lives and reducing healthcare cost. Reliable and accurate anomaly detection, diagnosis, and prognosis become the enabling technologies to the success of these areas.

 

Over the years, tremendous research efforts have been conducted on improving the reliability and accuracy of such enabling technologies. Among other technologies, computational intelligence (CI) techniques, which include neural networks, fuzzy logic and evolutionary computation etc., offer unique and promising potential in this area.

 

This special session aims to provide a high-level technical forum for scientists, engineers, and educators to present their recent development and research work on applying computational intelligence techniques to anomaly detection, diagnosis, and prognosis, and their applications to managing equipment health, human diseases and other areas. The scope includes, but is not limited to, the following topics:

 

·        Computational intelligence techniques for system anomaly detection and fault isolation

·        Diagnostic and prognostic model development and validation

·        Fusion of multiple diagnostic models of system components

·        Hybrid system based on a combination of CI techniques and non-CI techniques

·        Advanced CI-based signal processing algorithms

·        Computational intelligence for fault accommodation control

·        Optimization and decision support tool

·        Embedded intelligent systems for condition monitoring

·        Industrial case studies

·        Computer aided detection / diagnosis for medical imaging

 

Submission:

Please submit your paper online (http://www.wcci2008.org/submission.htm)

 

Timeline:

December 1, 2007                                                          Deadline for all paper submissions

(New) December 15, 2007                                     New deadline for all paper submissions

(New) January 1, 2008                                                             Late submission deadline

February 1, 2008                                                                      Notification of acceptance

March 1, 2008                                                          Deadline for final paper submissions

 

Organizers: 

 

Dr. Feng Xue (GE Global Research, Niskayuna, NY 12309   USA, email: xue@research.ge.com)

 

Dr. Feng Xue is an Information Scientist at General Electric Global Research Center, Niskayuna, NY. He received the Ph.D. degree in decision science and engineering systems from Rensselaer Polytechnic Institute (RPI), Troy, NY, in 2004. Since 2004, he has been an Information Scientist in the Computing and Decision Sciences Group, General Electric Global Research. Dr. Xue’s research and development interests focus on decision modeling, multi-objective optimization, machine learning and their applications to equipment services. He has authored over 20 publications and has 5 US patents pending. Dr. Xue is a member of IEEE and serves on the Industrial Committee of IEEE Systems, Man and Cybernetics Society

 

Dr. Weizhong Yan (GE Global Research, Niskayuna, NY 12309   USA, email: yan@crd.ge.com)

 

Dr. Weizhong Yan is a Research Engineer at the Industrial Artificial Intelligence Lab of GE Global Research Center where has carried out applied research in the areas of pattern recognition, classification, modeling, and soft computing for last 8 years. His specialties include application of soft computing technologies to monitoring and diagnosis of gas turbine engines and other mechanical systems. Dr. Yan has over 40 publications and 19 filed US patents. Prior to joining GE Global Research Center, Dr. Yan was a Lead Test Engineer at GE Power Systems, Schenectady, NY. In addition, he had 15 years working experience in structural engineering. Dr. Yan is an Adjunct Professor of the Mechanical Engineering Department at Rensselaer Polytechnic Institute where he teaches Control and Modeling. Dr. Yan is a Professional Engineer registered in the states of NY and MA.

 

Dr. Xiao Hu (GE Global Research, Niskayuna, NY 12309   USA, email: hux@research.e.com)

 

Dr. Xiao Hu received the B.S. degree in electrical engineering from Sichuan University, China, in 1998, and the M.S. and Ph.D. degrees in computer engineering from the University of Missouri-Rolla in 2001 and 2004, respectively. Prior to joining the Computing and Decision Sciences Group as a Research Scientist at General Electric Global Research Center in 2005, he spent three summers at Boeing Phantom Works as a research engineer, developing algorithms to diagnose aircraft engine health conditions. In the GE Global Research Center, he is currently engaged in the activities developing next-generation algorithms for equipment diagnostics/prognostics and decision aiding systems. His research interest is in developing new and improving existing computational intelligence algorithms and applying them to problems in industrial system diagnostics, prognostics and health management. He has over 20 publications.

 

Dr. Hai Qiu (GE Global Research, Niskayuna, NY 12309   USA, email: hai@research.ge.com)

 

Dr. Hai Qiu is a Research Scientist at the GE Global Research in Niskayuna, New York. Prior to joining GE, he was a Research Assistant Professor in the Mechanical, Industrial and Nuclear Engineering Department of the University of Cincinnati and served as the Lead Researcher of the NSF Industrial/University Cooperative Research Center for Intelligent Maintenance Systems (IMS). He obtained his Ph.D. in mechanical engineering from the Xi’an Jiaotong University in 1999, and has been conducting research in the areas of intelligent diagnostics and prognostics research ever since. His current research areas include vibration analysis, intelligent diagnostics and prognostics for aviation system, modeling and simulation of maintenance and logistics systems. He has over 20 publications and is a co-inventor on 2 U.S. patent applications.

 

Dr. John Vian (Boeing Phantom Works, Seattle, WA 98124   USA, email: john.vian@boeing.com)

 

Dr. John Vian is a Boeing Technical Fellow with 25 years experience in flight control and prognostic health management.  He has served as Principal Investigator on multiple contracted research programs and currently leads Phantom Works' Systems Health Management Strategic Technology Area. Dr. Vian holds PhD Electrical, MS Aeronautical, and BS Mechanical Engineering degrees. He is an Associate Fellow of AIAA and serves on the Accreditation Board for Engineering and Technology.