Scholar
Milinda Fernando
Google Scholar ID: PPKkq2cAAAAJ
Research Associate, Oden Institute for Computational Engineering and Sciences
Citations & Impact
Citations
354
H-index
11
i10-index
11
Publications
20
Co-authors
24
list available
Contact
Publications
Resume (English only)
Academic Achievements
- 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.
Research Experience
- Currently, he is a Research Associate at the University of Texas at Austin, working with the Parallel Algorithms for Data Analysis and Simulation Group. His current work involves fast algorithms for Boltzmann transport for low-temperature plasma applications.
Education
- He 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.
Background
- 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.
