Presenter

Matthias Maiterth is a postdoctoral research associate at Oak Ridge National Laboratory (ORNL). His research focuses on high performance computing and artificial intelligence to improve performance, energy and power efficiency of large-scale HPC systems, as part of the Analytics and AI Methods at Scale Group led by Feiyi Wang. Before joining ORNL, he was an academic research staff member at Technische Universität München (TUM). He acquired his doctoral degree in computer science from Ludwig-Maximilians-Universität München (LMU). His doctoral studies included exchanges as a visiting researcher to Lawrence Livermore National Laboratory (LLNL), as well as a three-year funded research position at Intel.

Matthias's expertise in the topic of digital twins comes from his background in energy efficiency for HPC systems. At ORNL he showed his expertise by co-developing the ExaDigiT Project and publishing and presenting the joint digital twin work with papers at CUG 2024, IEEE VIS 2024 and SC24.