My research focuses on developing scalable computational methods for the numerical solution of partial differential equations (PDEs) on modern high-performance computing (HPC) systems. I develop algorithms that integrate advanced numerical methods with parallel computing to address challenging problems in computational science and engineering. My work spans a range of applications, including the Einstein field equations for gravitational-wave propagation, electron Boltzmann transport, low-temperature plasma flows, and transport problems involving moving interfaces.
My research interests lie at the intersection of numerical analysis, parallel algorithms, high-performance computing, scientific machine learning, and PDE-constrained inverse problems. A central goal of my work is to develop state-of-the-art, scalable algorithms that enable efficient and accurate simulation, inference, and data-driven modeling of complex physical systems on next-generation supercomputers.
Education:
Ph.D. in Scientific Computing, University of Utah
B.Sc. in Computer Science and Engineering, University of Moratuwa
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