March 15, 2024
AI-Powered Design Tool Wins Innovation Award
Our latest computational design tool has been recognized at the International Architecture Technology Conference.
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Apply NowWe are pioneers in computational design and artificial intelligence applications in architecture, pushing the boundaries of what's possible in the built environment.
The Computational Design and Artificial Intelligence in Architecture Research Laboratory is a dynamic and innovative platform for passionate researchers who have embarked on their scientific and professional journey in the field of digital architecture and artificial intelligence with deep motivation, and are persistently expanding their expertise.
This laboratory was established in 2024 at Iran University of Science and Technology under the direction of Dr. Morteza Rahbar. A group of distinguished and active researchers in the field of digital design and artificial intelligence in architecture have come together in this collective to develop and research the latest scientific achievements in this field.
In this laboratory, beyond theoretical knowledge development, we pay special attention to its practical applications in the construction industry. By combining artificial intelligence, data analysis, and architectural design, innovative ideas take shape that can transform quality, productivity, and forward-thinking in construction processes. Here, research and practice go hand in hand, redefining the boundaries of architecture.
Established in 2024 as a center of excellence for computational design research
Bridging theoretical knowledge with practical applications in the construction industry
Meet the brilliant minds behind iArch Lab's innovations
Lab Director & AI Researcher
PhD in Computer Science with 15+ years in AI and computational design
Senior Architect & Researcher
Master Architect specializing in parametric design and sustainable architecture
Machine Learning Specialist
Expert in neural networks and deep learning applications in design
Stay updated with our latest research, publications, and upcoming events
Our latest computational design tool has been recognized at the International Architecture Technology Conference.
Join us for a hands-on workshop exploring the fundamentals of parametric design in architecture.
Explore our comprehensive portfolio of computational design and AI research projects
Exploring machine learning algorithms for architectural form optimization using neural networks and genetic algorithms.
Integrating IoT sensors and AI algorithms to create responsive architectural environments that adapt to user needs.
Developing next-generation computational design workflows that enable architects to explore complex geometries.
Our specialized research teams focus on different aspects of computational design and AI
Led by Dr. Sarah Chen
Focuses on developing AI algorithms for architectural design optimization, form generation, and performance analysis.
Join our hands-on workshops to learn cutting-edge computational design techniques
Learn the fundamentals of parametric design using Grasshopper and Rhino
Explore machine learning applications in architectural design and analysis
Master advanced 3D modeling techniques and rendering workflows
Comprehensive academic programs in computational design and AI for architecture
A comprehensive introduction to computational thinking in architecture, covering parametric design, algorithmic modeling, and digital fabrication.
Learn how to apply machine learning techniques to architectural problems, including form optimization, performance prediction, and design automation.
Showcasing exceptional projects and innovations from our talented students
By: Emma Johnson
A responsive building facade that adapts to environmental conditions using AI-driven sensors and actuators.
By: Alex Chen
Using machine learning to generate optimal urban layouts based on traffic patterns and demographic data.
By: Maria Rodriguez
A virtual reality platform enabling real-time collaborative architectural design across remote locations.
Our research contributions to the field of computational design and AI in architecture
Total Publications
Journal Articles
Conference Papers
Publications (2024-2025)
AI in Architecture
Energy Optimization
Computational Design
Building Performance
Our most recent research contributions in computational design and AI applications.
S. A. Aghili, A. Haji Mohammad Rezaei, M. Tafazzoli, M. Khanzadi, and M. Rahbar (2025)
Published in: Buildings, Vol. 15, No. 7
A comprehensive systematic review of artificial intelligence methodologies applied to energy management in HVAC systems, analyzing current trends and future directions in smart building technologies.
N. Hashemi, M. Rahbar, S. Heidari, and P. Mansourimajoumerd (2025)
Published in: Solar Energy Advances, Vol. 5, p. 100086
Introduction of a novel metric for evaluating building overshadowing effects, providing architects and urban planners with improved tools for sustainable design in urban environments.
O. Veisi, M. A. Moradi, B. Gharaei, F. J. Maleki, and M. Rahbar (2025)
Published in: Forest Policy and Economics, Vol. 173, p. 103456
Development of an enhanced A-star pathfinding algorithm for optimizing timber transportation routes in forestry operations, contributing to sustainable logistics and environmental conservation.
Major research contributions in computational design, energy optimization, and AI applications.
M. A. Moradi, O. Mohammadrashidi, N. Niazkar, and M. Rahbar (2024)
Published in: Frontiers of Architectural Research, Vol. 13, No. 2, pp. 370–386
A novel computational method for automatically analyzing spatial relationships in residential floor plans through adjacency matrix extraction, advancing automated architectural analysis tools.
B. Vojdani, M. Rahbar, M. Fazeli, M. Hakimazari, and H. W. Samuelson (2024)
Published in: Energy and Buildings, Vol. 323, p. 114753
Comprehensive comparison of different optimization algorithms for simultaneous energy efficiency and daylighting performance in building design, providing guidelines for optimal method selection.
Breakthrough research in generative design, optimization, and building performance analysis.
M. Aalaei, M. Saadi, M. Rahbar, and A. Ekhlassi (2023)
Published in: Automation in Construction, Vol. 155, p. 105053
Revolutionary application of GANs for automatically generating architectural layouts with graph constraints, advancing AI-driven design methodologies in architecture.
Seminal research establishing core methodologies in AI-driven architectural design.
M. Rahbar, M. Mahdavinejad, A. H. Markazi, and M. Bemanian (2022)
Published in: Journal of Building Engineering, Vol. 47, p. 103822
Pioneering integration of deep learning with agent-based modeling for architectural layout generation, establishing a foundation for intelligent design automation in architecture.
Key contributions to international architectural computing conferences.
M. Rahbar (2018)
Presented at: eCAADe 2018: Computing for a better tomorrow, p. 71
Early exploration of AI applications in generative architectural design, presented at the prestigious European Conference on Architectural Computing.
For a complete and up-to-date list of all 37 publications, citations, and metrics, please visit the Google Scholar profile.
Our collaborative workspace where innovation meets creativity in computational design
Advanced workstations equipped with powerful GPUs for AI and computational design tasks
3D printers, laser cutters, and CNC machines for prototyping and model making
Immersive virtual and augmented reality systems for design visualization and collaboration
Our design studio is accessible to students and researchers around the clock, fostering creativity and innovation at any hour.
Get in touch with our team for collaborations, inquiries, or to learn more about our research
Tehran, Narmak, Iran University of Science and Technology, School of Architecture and Environmental Design, iArch Lab
02173228205
iarchlab@iust.ac.ir
Saturday to Wednesday: 9:00 AM - 6:00 PM
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