Publications
Our research contributions to the field of computational design and AI in architecture
Total Publications
Journal Articles
Conference Papers
Publications (2024-2025)
Research Focus Areas
AI in Architecture
Energy Optimization
Computational Design
Building Performance
🆕 Latest Publications (2025)
Our most recent research contributions in computational design and AI applications.
Artificial intelligence approaches to energy management in HVAC systems: A systematic review
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.
Useful shadow: A new independent metric to evaluate the overshadowing buildings
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.
Sustainable forestry logistics: Using modified A-star algorithm for efficient timber transportation route optimization
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.
📚 Key Publications (2024)
Major research contributions in computational design, energy optimization, and AI applications.
Revealing connectivity in residential architecture: An algorithmic approach to extracting adjacency matrices from floor plans
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.
Comparative study of optimization methods for building energy consumption and daylighting performance
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.
🏆 Selected Publications (2023)
Breakthrough research in generative design, optimization, and building performance analysis.
Effect of earth-sheltering and atrium form and proportion integration on energy and lighting performance optimization in a hot arid climate of Mashhad, Iran
S. Khayami, A. Ekhlassi, and M. Rahbar (2023)
Published in: Energy Efficiency, Vol. 16, No. 2, p. 6
Investigation of earth-sheltering and atrium design integration for optimizing energy performance and daylighting in hot arid climates.
Design optimization of the skylight for daylighting and energy performance using NSGA-II
B. V. Fakhr, M. Mahdavinejad, M. Rahbar, and B. Dabaj (2023)
Published in: Journal of Daylighting, Vol. 10, No. 1, pp. 72–86
Multi-objective optimization study for skylight design considering both daylighting quality and energy performance using advanced genetic algorithms.
Architectural layout generation using a graph-constrained conditional generative adversarial network (GAN)
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.
🔬 Notable Publications (2022)
Significant contributions in deep learning and agent-based modeling for architectural design.
Architectural layout design through deep learning and agent-based modeling: A hybrid approach
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.
Additional Research Contributions
Building Performance Analysis
Additional publications in energy optimization, daylighting analysis, and thermal comfort studies including works by Razmi et al., Dabaj et al., and Hashemi et al.
Construction Automation
Research in shell structures, topology optimization, and fabrication methods including contributions by Vatandoost et al. and Golpour et al.
Urban Planning & AI
Urban optimization research, algorithm development, and early foundational work including studies on Tehran's urban development and LiDAR point cloud applications.
This comprehensive publication list includes all 37 research contributions spanning 2009-2025, representing a complete academic portfolio in computational design, artificial intelligence, and architectural innovation. Each publication demonstrates our commitment to advancing the field through rigorous research and practical applications.