Milinda Fernando
Research Associate Parallel Algorithms for Data Analysis and Simulation Group
Centers and Groups
Biography
Dr. Fernando received his Ph.D. in 2021 from the School of Computing at The University of Utah. He received his Bachelor's in Computer Science and Engineering from The University of Moratuwa.
His research focuses on developing numerical methods and computationally optimal parallel algorithms to solve problems in Science and Engineering. Dr. Fernando's work has benefited applications in computational relativity, plasma physics, and geophysics. His research results in state-of-the-art distributed memory algorithms for spacetime adaptive mesh refinement (AMR) framework Dendro that tackles applications in relativity (Dendro-GR) and computational fluid dynamics. Currently, he is working on fast algorithms for Boltzmann transport for low-temperature plasma applications.