FYI, many thanks to those who already submitted, the deadline has been extended to August 15!
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CIES 2016, IEEE Symposium on Computational Intelligence for
Engineering Solutions (CIES)
Part of IEEE Series of Symposia on Computational Intelligence
SSCI'2016
December 6-9, 2016 Athens, Greece
http://ssci2016.cs.surrey.ac.uk/
GENERAL IDEA OF THE CIES SYMPOSIUM
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.
TOPICS
The symposium topics include, but are not limited to:
" Complex engineering systems, structures and processes
" Intelligent analysis, control and decision-making
" Management and processing of uncertainties
" Problem solution in uncertain and noisy environments
" Reliable computing
" Sustainable solutions
" Infrastructure security
" Climate change
" Environmental processes
" Disaster warning and management
" Lifecycle analysis and design
" Automotive systems
" Monitoring
" Smart sensing
" System identification
" Decision-support and assistance systems
" Visualization methods
" Prediction schemes
" Classification methods, cluster analysis
" Response surface approximations and surrogate models
" Sensitivity analysis
" Robust design, reliability-based design, performance-based
design
" Risk analysis, hazard analysis, risk and hazard mitigation
" Optimization methods, evolutionary concepts
" Probabilistic and statistical methods
" Simulation methods, Monte-Carlo and quasi Monte-Carlo
" Bayesian approaches / networks
" Artificial Neural Networks
" Imprecise probabilities
" Evidence theory
" p-box approach
" Fuzzy probability theory
" Interval methods
" Fuzzy methods
" Convex modeling
" Information gap theory
GENERAL INFORMATION ABOUT SSCI'2016
The 2016 IEEE Symposium Series on Computational Intelligence (IEEE
SSCI 2016) will be held in Athens, Greece, a city full of arts,
philosophy and historical attractions. SSCI is a flagship annual
international conference on computational intelligence sponsored
by the IEEE Computational Intelligence Society, promoting all
aspects of theory, algorithm design, applications and related
emerging techniques. As a tradition, IEEE SSCI 2016 will co-locate
a large number of exciting symposiums, each dedicated to a special
topic within or related to computational intelligence, thereby
providing a unique platform for promoting cross-fertilization and
collaboration. SSCI 2016 will be featured by cross-symposium
tutorials, keynote speeches, panel discussions, PhD consortiums,
oral presentations and poster sessions. Student grants, Best paper
Awards and Student Best Paper Award will be given.
IMPORTANT DATES
Paper submission: August 15, 2016
Notification to authors: September 12, 2016
Final submission: October 10, 2016
Early registration: October 10, 2016
Detailed information is provided on the conference website. If you
have questions, please contact Yoachu Jin, SSCI'2016 General
Co-Chair, at yaochu.jin@surrey.ac.uk and SSCI"2016 Website Chair
CIES SYMPOSIUM CO-CHAIRS
Michael Beer, Leibniz University, Hannover, Germany, and
University of Liverpool, UK
Vladik Kreinovich, The University of Texas at El Paso, TX, USA
Rudolf Kruse, University of Magdeburg, Germany
CIES PROGRAM COMMITTEE
Hojjat Adeli, The Ohio State University, USA
James L. Beck, California Institute of Technology, USA
Christian Borgelt, European Centre for Soft Computing, Spain
Oscar Castillo, Tijuana Institute of Technology, Mexico
Michael Fisher, University of Liverpool, UK
Hitoshi Furuta, Kansai University, Japan
Yannis Goulermas, University of Liverpool, UK
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
Detlef Nauck, British Telecom, UK
Thomas Runkler, Siemens AG, Germany
Tai Kang, Nanyang Technological University, Singapore
Enrico Zio, Polytechnic of Milan, Italy