Conference Policies

Peer Review Process

  • All abstracts or papers will be peer-reviewed. The review recommendation shall be based on the novelty of the ideas, scientific merits and suitability to this conference. The conference encourages presentations discussing novel ideas;
  • Multiple reviewers may be approached for technical and editorial reports. The Conference Chairmen make the final decision.


Archive Access Policy

The presentations that make up the current and archived conferences on this site have been made open access and are freely available for viewing, for the benefit of authors and interested readers.


ICCM2019 Theme

The central theme of ICCM is

  • Develop Computational Methods for everything
  • Apply Computational Methods everywhere
ICCM theme covers theory, algorithm, programming, coding, numerical simulation, machine learning, deep-learning, high performance computing techniques, error and uncertainty analysis and/or novel applications of computational techniques to problems in engineering, science, and other disciplines related to computations. Topics include but not limited to:

• Computational mechanics for  solids and structures

• Computational material science and engineering

• Computational Fluid dynamics

• Computational Accoustics

• Computational heat transfer

• Computational mathematics

• Computational biology

• Computational meso/micro/nano Mechanics

• Computational uncertainties

• Computational physics

• Computational Astronomy

• Meshless/Meshfree/Particle methods

• Advanced finite

• element/difference/volume methods

• Boundary element methods

• Molecular and quantum methods

• Computational Rheology

• Multi-scale methods

• Inverse problem and Optimization

• Machine learning and AI

• Deep learning

• Health monitoring

• Uncertainty analysis

• Validation and verification

• Development of software for numerical simulation

• Computational techniques for applications in engineering, science, and other disciplines

• High-performance computing techniques

• Big-Data and Data intensive computing techniques

• Integrated experimental and computational techniques

• Computationa and communication

• Others

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