Guest professor Jacob Schroder

22.08.2024|15:32 Uhr

Jacob B. Schroder from the University of New Mexico, USA, is spending a year at the IMACM as a visiting professor. Together with his host, PD Dr. Karsten Kahl, Prof. Schroder will be working on algebraic multigrid methods in the Applied Computer Science group and thus participating in the research projects on solvers for lattice gauge theory and port Hamiltonian systems. With his work on parallel time integration methods, there are also links to the High Performance Computing group (Prof. Bolten). Welcome to Wuppertal, Jacob!

Prof. Schroder was a Rotary Scholar in 2003-2004 after completing his Bachelor's degree in the USA andas such has already spent an extended period in Germany, namely at the Technical University of Munich. He did his PhD on Generalized Smoothed Aggregation Algebraic Multigrid (AMG) with Luke Olson at the University of Illinois Urbana-Champaign before moving to the University of Colorado, Denver, and then to the Lawrence Livermore National Lab in California as a postdoc. There,  he held the position of "Computational Mathematician" from 2013-2018. Since 2018, he is a professor in the Department of Mathematics and Statistics at the University of New Mexico in Albuquerqu

 

His research interests lie in the areas of multigrid methods, parallel-in-time methods, preconditioning, iterative methods, and scientific machine learning. Current research directions include the following.

    Parallel-in-time algorithms for large-scale simulations
    Parallel artificial neural network training algorithms, using multigrid and preconditioning concepts
    Generalized algebraic multigrid methods with adaptivity and improved coarsening and interpolation
    Communication-reducing algorithms for parallel algebraic multigrid
    Numerical software design targeting portability, speed, reproducibility, and ease-of-use