Mehmet Sahin

Mehmet Sahin is a Professor in the Department of Aerospace Engineering at Istanbul Technical University (ITU), where he specializes in computational fluid dynamics (CFD) and numerical methods. His research focuses on advanced algorithms for fluid flow simulations, including the HEMLAB Algorithm, Arbitrary Lagrangian-Eulerian (ALE) methods, and anisotropic mesh adaptation. He leads projects funded by TUBITAK and BAP, addressing challenges in compressible flows, multiphase dynamics, and aerospace applications.

Key research areas include numerical simulation of aerodynamic configurations (e.g., rotorcraft, high-lift systems), fluid-structure interaction (FSI), and parallel computing for large-scale problems. His work spans aerospace engineering, biomedical applications (e.g., cerebral aneurysm modeling), and fundamental fluid dynamics studies, such as flow around biological organisms like Drosophila. Sahin has developed open-source tools and collaborated on international standards like the AIAA and JAXA high-lift prediction benchmarks.

Notable contributions include the HEMLAB Algorithm for CFD, advancements in mass-conserving ALE formulations for multiphase flows, and scalable parallel solvers. His projects emphasize algorithm robustness, high-fidelity simulation, and real-world applications in aviation and biomedical engineering.