I specialize in harnessing the power of artificial intelligence for the automation of image analysis processes. My expertise encompasses a diverse range of characterization methods, from electron microscopy image analysis to advanced synchrotron tomography investigations. A unifying thread across all …

Biology PhD student working on the development of a multiplex immunofluorescence assay with a general interest in bioinformatics.

Hi, my name is Ahmad.

I am currently a PhD student at FZJ. My works are related to:

• Ontology development for crystalline materials, crystallographic defect, and provenance in materials science.
• Natural Language Processing (NLP)

I am a deep learning researcher with experience in:
- Self Supervised Learning
- Active Learning
- Supervised Learning
- Generative modeling

For:
- Representation learning
- Denoising
- Resolution enhancement
- Classification
- Semantic segmentation
- Instance segmentation

Applied …

Our division focuses on data and ML models to accelerate materials-to-device integration, especially for PEMFC and PEWE. Three core areas are:

• Data extraction and management: includes extracting, collecting, and managing large-scale data from various sources, supported by in-house developed and …

I am a PhD student at the Forschungszentrum Jülich and I am working on ZnPd/ZnO catalysts for Methanol Steam Reforming. In my research I study the microstructural changes of ZnPd nanoparticles applying MSR conditions using in situ transmission electron microscopy …

Development of computational methods and tools to analyze cellular processes. Working at the intersection of mathematics, statistics, data science and computational science and engineering. One focus is on the spatio-temporal analysis of single cells and their heterogeneity from live cell …

I am mainly interested in understanding biological systems in an algorithmic fashion and develop methods for this purpose. In my current work at the Research Center Juelich, I am focusing on predictive modeling of neurobiological diseases using MRI data and …

I am interested in the use of Machine Learning in medicine. My main research focus on the application of ML in PET and MR images. I am mainly interested in the reproducibility and repeatability of machine learning methods

• Image Processing, Computer Vision, Machine/Deep Learning <\br>
• 2d, 3d, 3d+t, and hyperspectral image data <\br>
• Life sciences and other domains, rich experience in plant science applications.

I am interested in the analysis of image modalities with special interest on machine learning and analysis workflows.

Head of Projects & Support Department at ER-C | FZJ

Currently working as a Post-Doc researcher at the Forschungszentrum Jülich, conducting research on 3D reconstruction, image segmentation, and deep learning architectures. Working with 2D and 3D data.