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ICMMST · Registering as Listener

International Conference on Multiscale Modeling and Simulation Techniques

4–5 Aug 2026 Bristol, UK Standard / Virtual Participation
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$209
virtual · $299 in person
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Conference Session Tracks

SDG-Aligned Research Themes

The ICMMST conference tracks support global knowledge exchange, innovation and sustainable development priorities across Applied Mathematics and related disciplines.

01 Advancements in Multiscale Modeling Techniques +
This track focuses on the latest advancements in multiscale modeling techniques, emphasizing their applications across various scientific disciplines. Participants will explore innovative methodologies that bridge different scales of analysis in complex systems.
02 Computational Approaches in Applied Mathematics +
This session will delve into computational approaches that enhance the understanding and application of applied mathematics. Researchers are invited to present novel algorithms and numerical methods that address real-world problems.
03 Statistical Methods for Complex Systems +
This track aims to explore statistical methods tailored for analyzing and interpreting complex systems. Contributions should highlight the integration of statistical techniques with multiscale modeling to derive meaningful insights.
04 Machine Learning in Mathematical Modeling +
This session will investigate the intersection of machine learning and mathematical modeling, showcasing how data-driven techniques can improve predictive accuracy. Participants are encouraged to present case studies and theoretical advancements in this area.
05 Optimization Techniques in Engineering Applications +
This track will cover optimization techniques specifically applied to engineering challenges, focusing on both theoretical frameworks and practical implementations. Contributions should demonstrate the effectiveness of these methods in real-world scenarios.
06 Numerical Methods for Scientific Computing +
This session will highlight innovative numerical methods that advance scientific computing in various fields. Researchers are invited to share their findings on algorithm development and computational efficiency.
07 Data Science Applications in Multiscale Modeling +
This track will explore the role of data science in enhancing multiscale modeling techniques. Presentations should focus on the integration of big data analytics and modeling to solve complex scientific problems.
08 Artificial Intelligence in Complex Systems Analysis +
This session will examine the application of artificial intelligence in the analysis of complex systems, emphasizing innovative approaches and methodologies. Participants are encouraged to present research that showcases AI's potential in enhancing system understanding.
09 Probabilistic Models and Their Applications +
This track will focus on the development and application of probabilistic models in various fields of study. Contributions should address the theoretical underpinnings as well as practical applications of these models in real-world scenarios.
10 Quantitative Methods in Research Applications +
This session will explore quantitative methods that are pivotal in research applications across disciplines. Researchers are invited to share their methodologies and findings that demonstrate the impact of quantitative analysis.
11 Algorithms for Multiscale Simulations +
This track will focus on the development and refinement of algorithms specifically designed for multiscale simulations. Presentations should highlight advancements that improve the efficiency and accuracy of simulations in complex systems.

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