Research Topics

Methods and Algorithms

To solve complex real-world tasks we develop machine learning solutions using state-of-the-art supervised Deep Learning methods as well as self-supervised approaches and evaluate their quality along different quality dimensions.

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AI in Medicine and the Sciences

Central application areas of our research lie in medicine and the Sciences, where we develop solutions for real-world problems involving different data modalities. Together with practitioners and other users we always strive for developing the best solutions.

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Machine Learning for Environmental research, Extreme Events and beyond

Climate change research is a vast and significantly important research topic. Together with partners from our research network we strive for developing machine learning-based methods that can be helpful to push further research developments in this field.

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