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


22nd - 23rd December, 2026 | Walvis Bay, Namibia

Multi-format (In-person/Virtual)

Submit for Presentation Attendee Registration Conference Brochure
Registration Options →

Explore conference registration categories designed for every mode of participation.

Home About Organizer Call For Paper Paper Submission Author Guidelines Registration Presentation Guidelines Organizing Committee Collaboration Agenda Do's and Dont's Invitation Letter Venue Contact Us

Important Dates

Pre-registration Deadline

22nd November, 2026

Paper Submission Deadline

27th November, 2026

Last Date Of Registration

7th December, 2026

Date Of Conference

22nd - 23rd December, 2026

Downloads

Conference Flyer
Sample Abstract
Sample Full Paper

Call for Papers

The (ICMLA-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Architecture,Information Technology,Systems Engineering,Data Science,Artificial Intelligence, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.

Submit Your Paper Today Register Early & Reserve Your Slot