FYI, papers related to imprecise probabilities are very welcome

**************************************************

IEEE Symposium on Computational Intelligence for Engineering

Solutions (IEEE CIES)

https://www.ieeessci2022.org/symposia_cies.html

Part of IEEE Series of Symposia on Computational Intelligence,

Singapore, December 4-7, 2022, https://www.ieeessci2022.org/

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

Michael Beer

Leibniz University Hannover

Vladik Kreinovich

University of Texas at El Paso

Rudolf Kruse

Otto-von-Guericke University

*********************************************************************

Important dates:

Paper Submission: Friday, 1st July 2022

Paper Acceptance: Thursday, 1st September 2022

Full Manuscript Submission: Monday. 19th September 2022

Early Registration: Monday, 26th September 2022

Conference Dates: 4th - 7th December 2022

**********************************************************************

Submission logistics: see https://www.ieeessci2022.org/