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Flex Conference (Physical / Digital)

International Conference on Machine Learning in Architecture - (ICMLA-26)

22nd - 23rd October 2026 , Qazvin - Iran

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Call For Papers

The (ICMLA-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 Architecture,Information Technology,Systems Engineering,Data Science,Artificial Intelligence 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:

  • Machine learning applications in architecture
  • AI-driven design processes in architecture
  • Sustainable architecture through machine learning
  • Data analysis for architectural optimization
  • Generative design techniques in architecture
  • Predictive modeling for building performance
  • Smart materials and machine learning integration
  • User experience and AI in architecture
  • Machine learning for urban planning
  • Architectural visualization using AI tools
  • Adaptive reuse through machine learning insights
  • Machine learning in construction management
  • Impact of AI on architectural education
  • Machine learning for energy-efficient buildings
  • Cognitive computing in architectural design
  • AI in historical preservation of architecture
  • Machine learning for landscape architecture
  • Robotics and architecture: a machine learning approach
  • Machine learning in smart city development
  • Ethical considerations of AI in architecture

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.

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