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International Conference on Multiscale Modeling and Simulation in Applied Mathematics - (ICMMSAM-27)

14th - 15th May 2027 , Kisumu - Kenya

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Call For Papers

The (ICMMSAM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Applied Mathematics, Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Multiscale modeling in applied mathematics
  • Simulation techniques for complex systems
  • Mathematical methods in multiscale phenomena
  • Applications of multiscale modeling in biology
  • Computational challenges in multiscale simulations
  • Modeling materials at multiple scales
  • Multiscale approaches in fluid dynamics
  • Integration of multiscale models in engineering
  • Statistical methods for multiscale analysis
  • Multiscale modeling in climate science
  • Applications of multiscale modeling in medicine
  • Numerical methods for multiscale problems
  • Multiscale modeling in nanotechnology
  • Machine learning in multiscale simulations
  • Uncertainty quantification in multiscale models
  • Multiscale modeling of biological systems
  • Coupling methods for multiscale simulations
  • Multiscale modeling in materials science
  • Recent advances in multiscale modeling
  • Future directions in multiscale research

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.