A-list-of-expertise,-type-of-data,-and-needs-of-the-network's-members.md

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 | Kraus, Jiri jkraus@nvidia.com | NVIDIA | | | Want to learn the ML/DL needs of scientist at FZJ | 
 | Nöh, Katharina k.noeh@fz-juelich.de | IBG-1: Biotechnology, Modeling and Simulation Group | Image segmentation with DL (U-Nets) | Large-scale microscopic images from time-lapse microscopy (2D, x-TB range) | Meet DL/ML experts, discuss DL solutions for specific applications | 
 | Pleiter, Dirk d.pleiter@fz-juelich.de | JSC Technology Department | Architectures optimized for DL, requirements analysis | | |
-| Scharr, Hanno, h.scharr@fz-juelich.de |  IBG-2 Quantitative Image Processing |  supervised and semi-supervised learning, Deep learning / DNNs in Computer Vision, Image Processing | High-res image data, multi-view datasets, hyperspectral images, 3D MRI/PET, image sequences |
+| Scharr, Hanno, h.scharr@fz-juelich.de |  IBG-2 Quantitative Image Processing |  supervised and semi-supervised learning, Deep learning / DNNs in Computer Vision, Image Processing | High-res image data, multi-view datasets, hyperspectral images, 3D MRI/PET, image sequences | |
 |Schiffer, Christian c.schiffer@fz-juelich.de | INM-1 Big Data Analytics Group (BDA) | Deep Learning with ConvNets, Image Segmentation, Distributed DL on HPC with TensorFlow, Unsupervised Domain Adaptation | Microscopic resolution 2D images | 
 | Schlottke-Lakemper, Michael m.schlottke-lakemper@fz-juelich.de | JSC/JARA SimLab Fluids & Solids | Beginner | Continuum mechanics (fluids, solids) | Meet like-minded researches & ML experts to exchange ideas, learn who to ask in case of specific problems/questions | 
 |Schultz, Martin m.schultz@fz-juelich.de | JSC-FSD | Deep Learning Timeseries and video-sequence analysis (IntelliAQ project) | Observational time series, numerical weather model data (gridded fields), geodata (gridded fields and point features | discussion forum to exchange experiences with specific architectures and methods, and to share ideas how to improve result |