Amin Alibakhshi
Postdoctoral Fellow, Universidade da Coruña, A Coruña, Spain
I have been conducting research since 2016, beginning in the final year of my bachelor’s degree. With nearly eight years of experience in scientific research, I have developed a solid foundation in solid mechanics, computational modeling, and numerical methods, with a strong emphasis on interdisciplinary applications in smart materials and advanced structural analysis.
My research interests include solid mechanics, biomechanics, artificial neural networks, smart materials, finite element analysis, topology optimization, metamaterials, structural dynamics, and nonlinear vibrations. I am particularly focused on the development of numerical methods for multiphysics problems involving soft and active materials.
In 2022, I was awarded a prestigious Marie Sklodowska-Curie fellowship to pursue a Ph.D. at Universidad Politécnica de Madrid, Spain, where I am currently working on advanced topology optimization techniques, biomedical modeling, and functionally graded materials.
During my secondment at the University of Florida, USA. I worked under the supervision of Professor Nam Ho Kim on the topology optimization of functionally graded materials.
Beyond theoretical and applied research, I am actively involved in scientific software development. I created Julia packages PUPM.jl, which provides tools for topology optimization using the semi-penalized UPM method, GrowthTop.jl bone remodeling driven topology optimization (Growth Method). I have contributed to the development of FEBio.jl, a Julia interface for nonlinear finite element analysis based on the core functionality of the original FEBio software, widely used in biomechanics and computational solid mechanics. Additionally, I contribute to the COMODO-research project in Julia, a tool designed for finite element analysis and mesh generation.
See my papers here: