Feyzullah Yavan
Papers
3
Total Citations
18
H-Index
3
About
Feyzullah Yavan is an emerging researcher at the intersection of structural engineering, computational design, and sustainable construction. His work focuses on integrating Building Information Modeling (BIM) with advanced optimization techniques, applying evolutionary algorithms and artificial intelligence to solve complex structural design problems with real-world implications. Yavan's most significant contributions lie in developing workflows that combine visual programming environments with metaheuristic optimization algorithms to achieve structurally efficient, cost-effective, and environmentally responsible designs. His research on BIM-based structural optimization, particularly for truss systems, incorporates Life Cycle Assessment (LCA) tools to evaluate environmental impact — a forward-thinking approach that bridges engineering performance with sustainability objectives. More recently, his work has extended into reliability-constrained optimization, ensuring that AI-driven design solutions also meet rigorous safety standards demanded in civil engineering practice. With a growing citation record totaling 18 citations across publications released as recently as 2024–2025, Yavan is quickly establishing himself as a notable voice in computational structural engineering. His research is particularly relevant to students and practitioners seeking to leverage digital technologies for smarter, greener, and safer built environments.
Research Focus
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Top Papers
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