Projects
Ongoing (17)
- Pezzuto S. (2022) Precision Cardiology for Atrial Fibrillation based on Physiology-Informed Machine Learning
- Krause R. (2021) TIME parallelisation: for eXascale computing and beyond
- Krause R. (2021) Crawl-Align-Train-Translate/ Toolchain für das semi-automatisierte und beschleunigte Training von proprietären, domänenpezifischen NMT-Enfunes
- De Gottardi A. (2021) Predicting hospital admission in patients with advanced chronic liver disease (ACLD): a pilot study with a trajectomics approach
- Krause R. (2021) towards Exascale training for Machine Learning.
- Krause R. (2021) SUstainable and Resilient Energy for Switzerland
- Mira A. (2021) Multivariate spatio-temporal models with latent dynamics for cardiovascular disease prediction with heterogeneous factors
- Krause R. (2021) Multilevel and Domain Decomposition Methods for Machine Learning
- Limongelli V. (2021) Computational Microscope on Molecular Binding: from atom to cell membrane scale
- Pezzuto S. (2021) Numerical modeling of cardiac electrophysiology at the cellular scale
- Lemmin T. (2021) Biomolecular language models for protein design
- Krause R. (2020) Simulation and visualization of fluid structure interaction in diaphragm pumps including the polymer piping system.
- Krause R. (2020) Stress-Based Methods for Variational Inequalities in Solid Mechanics: Finite Element Discretization and Solution by Hierarchical Optimization
- González F. S. (2019) Enabling data-driven immunological research by making two-photon intravital microscopy data FAIR
- Krause R. (2019) Lattice Boltzmann for Hydraulic Turbomachines
- Bianda M. (2019) Integrating High Resolution Solar Physics
- Belluzzi L. (2018) HPC-techniques for 3D modeling of resonance line polarization with PRD
