| ... | ... | @@ -13,5 +13,6 @@ Dickscheid, Timo t.dickscheid@fz-juelich.de | INM-1 Big Data Analytics Group (BD |
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| Stadtler, Scarlet s.stadtler@fz-juelich.de | JSC Federated Systems and Data Division | Absolute Beginner (At JSC courses in ML and DL) | Meteorological four dimensional Data (space and time) | meet ML experts, possibility to discuss individual DL problems | |
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| Goergen, Klaus k.goergen@fz-juelich.de | IBG-3 Integrated Modelling | various supervised and unsupervised methods, PCA, CCA, SOMs; not used recently though | Regional climate model outputs, meteorological observations | big data (200-300TB) capable data analytics frameworks | none |
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| Krajsek, Kai k.krajsek@fz-juelich.de | JSC HPC in Neuroscience | Supervised Learning Unsupervised Learning Meta-Learning, Inverse Modelling with ML, Deep Learning in Computer Vision, Probabilistic Inference, Gaussian Processes | Meteorological model output (4D space-time volumes), Diffusion MRI data | |
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| Pleiter, Dirk d.pleiter@fz-juelich.de | JSC Technology Department | Architectures optimized for DL, requirements analysis | | | none |
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| Arasan, Durai d.arasan@fz-juelich.de | INM-1 Connectivity | Support Vector Machines, Random Forests, Neural Networks | 3D MRI data | Developing ML algorithms for neuroimaging data, Learning Deep Learning, feature engineering and optimization | none |
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| Huysegoms, Marcel m.huysegoms@fz-juelich.de | INM-1 Big Data Analytics Group (BDA) | Deep Learning with ConvNets, Markov Random Fields, Clustering | Microscopic-resolution 2D and 3D cyto images | | |
