Developments in Engineering are characterized by a growing complexity, which is balanced by an extensive utilization of computational resources. This complexity is not only a feature of engineering systems, processes and products, it is primarily a key attribute of the respective algorithms for analysis, control and decision-making to develop those engineering solutions. To cope with complexity in this broad spectrum of demands, Computational Intelligence is implemented increasingly in virtually all engineering disciplines. This emerging approach provides a basis for developments of a new quality.
This Symposium is focused on the utilization of Computational Intelligence in this context in the entire field of engineering. Examples concern the control of processes of various kinds and for various purposes, monitoring with sensors, smart sensing, system identification, decision-support and assistance systems, visualization methods, prediction schemes, the solution of classification problems, response surface approximations, the formulation of surrogate models, etc. The engineering application fields may comprise, for example, bioengineering with prostheses design and control, civil and mechanical engineering processes, systems and structures concerned with vehicles, aircraft or bridges, industrial and systems engineering with design and control of power systems, electrical and computer engineering with developments in robotics, etc. All kinds of approaches from the field of Computational Intelligence are welcome.
As a part of the Symposium special attention is paid to sustainable engineering solutions to address current and future challenges of environmental changes and uncertainty. This includes developments dealing with climate change, environmental processes, disaster warning and management, infrastructure security, lifecycle analysis and design, etc. Events, disasters and issues under consideration may be natural such as earthquakes or tsunamis, man-made such as human failure or terrorist attacks, or a combination thereof including secondary effects such as failures in nuclear power plants, which may be critical for systems, the environment and the society. Developments which include a comprehensive consideration of uncertainty and techniques of reliable computing are explicitly invited. These may involve probabilistic including Bayesian approaches, interval methods, fuzzy methods, imprecise probabilities and further concepts. In this context robust design is of particular interest with all its facets as a basic concept to develop sustainable engineering solutions.
The symposium topics include, but are not limited to:
Management and processing of uncertainties
Please forward your proposals with detailed abstract and bio-sketches of the speakers to Symposium Co-Chairs and SSCI Keynote-Tutorial Chair, Dr S Das.
"COMPUTATIONAL METHODS FOR ELECTRIC VEHICLES" organized by Aldo Sorniotti, University of Surrey, UK (firstname.lastname@example.org) & Valentin Ivanov, Ilmenau University of Technology, Germany (email@example.com) (To submit a paper to this session, please select "15s1" as the main research topic)
(Please forward your special session proposals to Symposium Co-Chairs.)
Michael Beer, University of Liverpool, UK
Vladik Kreinovich, The University of Texas at El Paso, TX, USA
Rudolf Kruse, University of Magdeburg, Germany
Hojjat Adeli, The Ohio State University, USA
James L. Beck, California Institute of Technology, USA
Oscar Castillo, Tijuana Institute of Technology, Mexico
Chang Che Sau, National University of Singapore, Singapore
Dimitar P. Filev, Ford Motor Company, USA
Michael Fisher, University of Liverpool, UK
Hitoshi Furuta, Kansai University, Japan
Wolfgang Graf, Dresden University of Technology, Germany
Jorge E. Hurtado, National University of Colombia, Colombia
Lambros S. Katafygiotis, The Hong Kong University of Science & Technology, Hong Kong, China
Valentin Ivanov, Ilmenau University of Technology, Germany
Kevin S.C. Kuang, National University of Singapore, Singapore
Tenreiro Machado, Polytechnic Institute of Porto, Portugal
Ralf Mikut, University of Karlsruhe, Germany
Paluri S. V. Nataraj, Indian Institute of Technology Bombay, India
Detlef Nauck, British Telecom, UK
Quek Ser Tong, National University of Singapore, Singapore
Thomas Runkler, Siemens AG, Germany
Tai Kang, Nanyang Technological University, Singapore
Enrico Zio, Polytechnic of Milan, Italy