Ahmed J. Afifi was born in 1985. He received the bachelor’s and M.Sc. degrees in computer engineering from the Islamic University of Gaza, in 2008 and 2011, respectively. He obtained his Ph.D. (Dr.-Ing.) degree from Technische Universität Berlin in 2021 …

Project Manager for the Helmholtz Transfer Academy "Future Innovators". Interested in anything that can solve problems. Trying to unlock the potential of scientific development to also solve short-term problems of the real-world.

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 …

Interested in deep interactive learning, active learning, semantic/instance segmentation, object detection, interpretability, image manipulation detection. Working with both 2D and 3D data.

My research focus is developing Machine Learning and Computer Vision methods that are tailored towards Remote Sensing and Earth Observation. I have a special interest in Deep Learning (in particular weakly-, semi-, and self-supervised learning) and Ensemble Learning (in particular …

Head of the Helmholtz Imaging Support Unit at DESY Hamburg. Background in computational structural biology, pattern recognition, artificial intelligence, convolutional neural networks and cloud computing.

Interested in everything that is computer vision, regardless of domain

Biological oceanographer with extensive research experience in mechanistic studies on production, export, transformation, and recycling of organic matter in the ocean. Strong focus on biogeochemistry and microbiology where I use multidisciplinary approaches to link small-scale processes to the full water …

Considering human interaction when designing machine learning (ML) systems bears great potential: On the one hand, decision-making in ML systems remains imperfect in practice, thus requiring human interaction for safety-critical applications such as clinical diagnostics. On the other hand, the …

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 …

I am a Research Scientist working on AI-driven bioimage analysis. I developed theCell-ACDC software which is used to segment, track, and annotate single cells in multi-dimensional microscopy datasets in an interactive and smart manner. I am currently working on new …

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