The ICCM is an international conference that provides a global forum for exchanging ideas on recent advances in computational methods, numerical modeling and simulation, machine learning techniques, and their applications in engineering and science. The conference accommodates presentations on a wide range of topics to facilitate interdisciplinary exchanges of ideas across science, engineering, and related disciplines, fostering various types of academic collaborations.
The ICCM conference series originated in Singapore in 2004, followed by ICCM2007 in Hiroshima, Japan; ICCM2010 in Zhangjiajie, China; ICCM2012 in Gold Coast, Australia; ICCM2014 in Cambridge, England; ICCM2015 in Auckland, New Zealand; ICCM2016 in Berkeley, CA, USA; ICCM2017 in Guilin, China; ICCM2018 in Rome, Italy; ICCM2019 in Singapore; and ICCM2023 in Ho Chi Minh City, Vietnam. ICCM2020, ICCM2021, ICCM2022, and ICCM2024 were held as virtual conferences.
The scope of ICCM covers a broad range of topics, including theory, algorithms, programming, coding, numerical simulation, machine learning, artificial intelligence, deep learning, augmented learning, high-performance computing techniques, error and uncertainty analysis, and novel applications of computational techniques in engineering, science, and other computation-related disciplines.
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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