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International Conference on Mathematical Analysis in Engineering and Sciences - (ICMAEAS-27)

1st - 2nd April 2027 , Prague - Czech Republic

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Call For Papers

The (ICMAEAS-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 Mathematics 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:

  • Mathematical analysis in engineering applications
  • Modeling physical systems with mathematical analysis
  • Mathematical approaches to optimization problems
  • Analysis of differential equations in engineering
  • Mathematical modeling of structural systems
  • Applications of analysis in applied sciences
  • Mathematical tools for engineering design
  • Analysis of algorithms in engineering contexts
  • Mathematical modeling of fluid mechanics
  • Numerical analysis techniques in engineering
  • Mathematical frameworks for control systems
  • Modeling dynamic systems with mathematical analysis
  • Mathematical approaches to signal processing
  • Analysis of stability in engineering systems
  • Mathematical modeling of heat transfer
  • Applications of mathematical analysis in physics
  • Mathematical tools for systems engineering
  • Modeling complex engineering problems mathematically
  • Mathematical analysis of energy systems
  • Interdisciplinary approaches in mathematical analysis

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.