The ICCM is an international conference providing an international forum for exchanging ideas on recent advances in areas related to computational methods, numerical modelling & simulation, machine learning techniques, as well as their applications in engineering and science. It will accommodate presentations on a wide range of topics to facilitate inter-disciplinary exchange of ideas in science, engineering and related disciplines, and foster various types of academic collaborations.

The ICCM conference series were originated in Singapore in 2004, followed by ICCM2007 in Hiroshima, Japan; ICCM2010 in Zhangjiajie, China; ICCM2012 in Gold Coast, Australia; ICCM2014 at Cambridge, England; ICCM2015 at Auckland, New Zealand; ICCM2016 at Berkeley, CA, USA; ICCM2017 at Guilin, China; ICCM2018 at Rome, Italy; ICCM2019 at Singapore; and ICCM2020 at the cloud. 

The scope of ICCM covers theory, algorithm, programming, coding, numerical simulation, machine learning, AI, deep learning, augmented 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 heat transfer

• Computational mathematics

• Computational biology

• Computational meso/micro/nano Mechanics

• Computational uncertainties

• Computational physics

• Meshless/Meshfree/Particle methods

• Advanced finite element/difference/volume methods

• Boundary element methods

• Molecular and quantum methods

• Computational Rheology

• Multi-scale methods

• Machine learning and AI

• Deep learning and augmented learning

• Inverse problem and Optimization

• 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

• Computation and communication

• Others

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