JUWELS Booster - A Supercomputer for Large-Scale AI Research. - Stefan Kesselheim; Andreas Herten; Kai Krajsek; Jan Ebert; Jenia Jitsev; Mehdi Cherti; Michael Langguth; Bing Gong; Scarlet Stadtler; Amirpasha Mozaffari; Gabriele Cavallaro; Rocco Sedona; et al. (ISC Workshops, 2021)

HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction. - Amirpasha Mozaffari; Michael Langguth; Bing Gong; Jessica Ahring; Adrian Rojas Campos; Pascal Nieters; Otoniel José Campos Escobar; Martin Wittenbrink; Peter Baumann 001; Martin G. Schultz (Data Intell., 2022)

Enabling Canonical Analysis Workflows Documented Data Harmonization on Global Air Quality Data. - Sabine Schröder; Eleonora Epp; Amirpasha Mozaffari; Mathilde Romberg; Niklas Selke; Martin G. Schultz (Data Intell., 2022)

Canonical Workflows to Make Data FAIR. - Peter Wittenburg; Alex R. Hardisty; Yann Le Franc; Amirpasha Mozaffari; Limor Peer; Nikolay A. Skvortsov; Zhiming Zhao; Alessandro Spinuso (Data Intell., 2022)

3-D Electromagnetic Modeling Explains Apparent-Velocity Increase in Crosshole GPR Data-Borehole Fluid Effect Correction Method Enables to Incorporating High-Angle Traveltime Data. - Amirpasha Mozaffari; Anja Klotzsche; Zhen Zhou; Harry Vereecken; Jan Van der Kruk (IEEE Trans. Geosci. Remote. Sens., 2022)

End-to-End Process Orchestration of Earth Observation Data Workflows with Apache Airflow on High Performance Computing. - Liang Tian; Rocco Sedona; Amirpasha Mozaffari; Enxhi Kreshpa; Claudia Paris; Morris Riedel; Martin G. Schultz; Gabriele Cavallaro (IGARSS, 2023)