Flex Conference (Physical / Digital)

International Conference on Computational Methods in Applied Mathematics - (ICCMAM -26)

12th - 13th October 2026 , Lucerne - Switzerland

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Call For Papers

The (ICCMAM -26) 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,Computational Science,Computing 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:

  • Numerical methods in applied mathematics
  • Computational algorithms for differential equations
  • Finite element analysis in engineering
  • Mathematical modeling of physical systems
  • Statistical methods in computational mathematics
  • Optimization problems in applied mathematics
  • Computational geometry and applications
  • Mathematical simulations in science
  • Data-driven methods in applied mathematics
  • Parallel computing in mathematical problems
  • Machine learning in computational methods
  • Stochastic processes in applied mathematics
  • Graph theory applications in computation
  • Numerical linear algebra techniques
  • Mathematical modeling of biological systems
  • Computational fluid dynamics applications
  • Time series analysis in applied mathematics
  • Mathematics in financial modeling
  • Computational methods for optimization
  • Mathematical foundations of computational methods

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.