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International Conference on Applied Mathematical Modeling in Engineering Systems - (ICAMMES-27)

18th - 19th May 2027 , La Paz - Bolivia

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Call For Papers

The (ICAMMES-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 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:

  • Applied mathematical modeling in engineering
  • Modeling techniques for engineering systems
  • Applications of optimization in engineering
  • Mathematical modeling for structural analysis
  • Computational methods in engineering modeling
  • Mathematical modeling in mechanical engineering
  • Applications of modeling in electrical engineering
  • Modeling fluid dynamics in engineering
  • Mathematical modeling for manufacturing processes
  • Modeling thermal systems in engineering
  • Interdisciplinary approaches to engineering modeling
  • Mathematical modeling for civil engineering
  • Applications of modeling in aerospace engineering
  • Modeling challenges in engineering applications
  • Future trends in applied engineering modeling
  • Mathematical modeling in environmental engineering
  • Modeling for smart engineering systems
  • Applications of AI in engineering modeling
  • Modeling for sustainable engineering practices
  • Mathematical modeling in robotics engineering

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.