Research Group – Applied Machine Learning Lab

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Led by Prof. Dr. Rafet Sifa, the Applied Machine Learning (AML) Lab focuses on addressing the challenges of implementing machine learning models in real-world settings while developing novel methods for pattern analysis and representation learning. The lab’s primary area of investigation is based on constructing hybrid, interpretable, and resource-aware learning systems with practical applications in text mining, behavioral analytics, and medical informatics.

At AML Lab, we have made it our mission to bridge the gap between cutting-edge technology and everyday challenges.

If you want to reach out to us, please write us:

amllab[at]bit.uni-bonn.de

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Group leader

© Maximilian Waidhas / b-it

Prof. Dr.
Rafet Sifa

Research Focus

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Text Mining

Learn about the potential of text mining through our advanced NLP research focused on representation learning, finance & legal applications, and decision making processes.

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Medical Informatics​

Discover how we are improving diagnostics and addressing the challenges of modern medicine by focusing on efficiency and accuracy to empower healthcare professionals to make informed decisions.

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Behavioral Analytics

Explore how psychology, data analytics and user experience are used to model human behavior to improve decision making and personalize services.

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