Celal Soyarslan

Celal Soyarslan is an Associate Professor in Nonlinear Solid Mechanics, specializing in advanced materials and computational mechanics. His research focuses on material science, additive manufacturing, metamaterials, and machine learning applications in engineering. He has contributed to studies on microstructural modeling, fracture mechanics, and homogenization techniques, with applications in aerospace, biomedical, and energy sectors.

Key research interests include the development of coupled damage models for composites, optimization of 3D microstructures using generative methods, and the integration of physics-informed machine learning into multiscale simulations. His work often addresses challenges in material characterization, such as effective magnetic and thermomechanical properties of composites.

Publications highlight innovations in additive manufacturing of NiTi metamaterials, physics-informed modeling of elliptic equations, and the study of auxetic biological materials. Collaborations span international institutions, emphasizing interdisciplinary approaches to material design and analysis.