Flex Conference (Physical / Digital)

International Conference on Computational Methods in Architectural Engineering - (ICCMAE-27)

19th - 20th January 2027 , Crete - Greece

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Call For Papers

The (ICCMAE-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 Architectural Engineering 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:

  • Computational design in architectural engineering
  • Parametric modeling techniques in architecture
  • Simulation tools for architectural analysis
  • Data-driven design methodologies
  • Machine learning applications in architecture
  • Virtual reality in architectural visualization
  • Computational fluid dynamics in buildings
  • Generative design in architectural practice
  • Impact of algorithms on architectural design
  • Collaboration in computational architecture projects
  • Case studies of computational methods
  • Architectural optimization through computation
  • Digital fabrication and computational design
  • Ethics of computational architecture
  • Education in computational methods for architects
  • Future of computational design technologies
  • Integration of AI in architectural workflows
  • Building performance analysis using computation
  • Sustainable design through computational methods
  • Architectural creativity and computational tools

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.