IEEE Symposium on Computational Intelligence for Engineering Solutions (IEEE CIES)
IEEE SSCI 2020 will run as a virtual conference.
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
- 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
Symposium Chairs
Where
Canberra, Australia
When
1-4 December 2020
ieeessci2020 at gmail . com