Papers

3

Total Citations

18

H-Index

3

About

Reza Maalek is an emerging researcher at the intersection of structural engineering, digital construction technologies, and sustainable design optimization. His work focuses on integrating Building Information Modeling (BIM) with advanced computational methods — particularly evolutionary algorithms, visual programming, and artificial intelligence — to solve complex structural design challenges. Maalek's research addresses a critical need in modern civil engineering: reducing material consumption and environmental impact without sacrificing structural performance or safety. Among his most notable contributions are frameworks that combine BIM environments with Life Cycle Assessment (LCA) tools and metaheuristic optimization algorithms, enabling engineers to identify optimal structural configurations for trusses and broader building systems in a more automated and data-driven manner. His more recent work extends this paradigm into reliability-constrained optimization, ensuring that cost-effectiveness and sustainability goals are balanced against rigorous safety requirements — a challenge of significant practical importance. With publications in 2024 and 2025 already accumulating citations across a competitive research landscape, Maalek demonstrates a productive and focused research trajectory. His contributions are particularly valuable for students and practitioners seeking to leverage digital tools for greener, smarter, and more resilient structural engineering solutions.

Research Focus

Key Achievements

3
H-Index
3
Papers
18
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Structural Optimization in Building Information Modeling (BIM) Projects Using Visual Programming, Evolutionary Algorithms, and Sustainability Assessment Tools
9 citations · 2024
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Karlsruhe Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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