My research spans a broad range of topics at the intersection of computational mechanics, scientific computing, high-performance computing, and engineering design. Over the years, I have worked on problems involving fracture mechanics, topology optimization, adaptive finite element methods, isogeometric analysis, machine learning for engineering, and scalable multi-physics simulations. These research areas reflect both my academic interests and my motivation to develop computational frameworks capable of solving complex real world engineering and scientific challenges.
A major theme across my work is the integration of physics, mathematics, computation, and software development into unified and scalable research workflows. Alongside methodological development, I am deeply interested in building scientific software, cloud-enabled simulation systems, and AI-assisted engineering tools that can improve accessibility, reproducibility, and computational efficiency. Below, I share the major research areas that have shaped my scientific journey and continue to guide my current work in academia, open source software, and entrepreneurship.
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