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International Conference on Applied Mathematical Modeling in Engineering Design - (ICAMMED-27)

29th - 30th March 2027 , Hue - Vietnam

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Call For Papers

The (ICAMMED-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:

  • Optimization techniques in engineering design
  • Mathematical modeling of mechanical systems
  • Numerical methods for engineering applications
  • Statistical analysis in engineering design
  • Simulation techniques for design optimization
  • Modeling uncertainty in engineering processes
  • Design of experiments in engineering research
  • Mathematical modeling of fluid dynamics
  • Applications of differential equations in design
  • Finite element analysis in engineering
  • Control theory applications in engineering
  • Mathematical modeling of structural integrity
  • Computational geometry in engineering design
  • Game theory applications in engineering
  • Multi-objective optimization in design
  • Data-driven modeling in engineering applications
  • Mathematical modeling of thermal systems
  • Robust design methodologies in engineering
  • Machine learning applications in engineering design
  • Mathematical modeling of manufacturing processes

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.