People

The human factor


Principal Investigators

Johan Larsson

Principal Investigator (UMD)

Ivan Bermejo-Moreno

Co-Principal Investigator (USC)

Adrian Lozano-Duran

Co-Principal Investigator (MIT)


Postdoctoral Fellows

Gonzalo Arranz Fernandez

Postdoc (MIT)

Sensitivity estimation based on information theoretic approaches


Students

Benjamin Dalman

PhD student (USC)

Kokkos-based parallelism

Harrison Bauman

PhD student (UMD)

Kokkos-based parallelism, grid-adaptation

Ayush Parajuli

PhD student (UMD)

Sensitivity estimation based on turbulence modeling


Alumni

Nisha Chandramoorthy

PhD student (MIT), graduated 2021

Sensitivity estimation based on dynamical systems theory

Walter Arias Ramirez

PhD student (UMD), graduated 2022

Sensitivity estimation based on turbulence modeling

Jonathan Hoy

PhD student (USC), graduated 2022

Grid-modification, Kokkos-based parallelism

Ali Berk Kahraman

PhD student (UMD), graduated 2022

Error estimation and grid-adaptation: combining components into a complete algorithm

Adam Sliwiak

PhD student (MIT), graduated 2023

Sensitivity estimation based on dynamical systems theory

Nikhil Oberoi

PhD student (UMD), graduated 2023

Sensitivity estimation based on turbulence modeling: eddy viscosity inference

Md Kamrul Hasan

Postdoc (UMD), graduated 2023

Generation of adapted grids