My research is strongly driven by real world engineering and scientific challenges. Rather than developing computational methods in isolation, I focus on building scalable numerical frameworks, simulation technologies, and software tools that can address practical problems across multiple disciplines. These application areas represent the domains where my work in computational mechanics, high performance computing, optimization, machine learning, and scientific software development can create meaningful scientific, industrial, and societal impact.
Description
Design of auxetic and multifunctional metamaterials with tailored mechanical properties, uncertainty-aware optimization, and high-performance structural behavior.
My Work in This Area
Working on auxetic metamaterials, negative Poisson’s ratio structures, robust metamaterial optimization, impact-resistant architectures, and machine learning assisted metamaterial design.