Chair of Computer Science 14 – Machine Learning and Data Analytics


The researchers in the Machine Learning and Data Analytics (MaD) lab conduct theoretical and applied research for wearable computing systems and machine learning algorithms for engineering applications at the intersection of sports and health care. Our motivation is generating a positive impact on human wellbeing, be it through increasing performance, maintaining health, improving rehabilitation, or monitoring disease. Additionally, machine learning algorithms are studied in the context of industry 4.0.



Prof. Dr. Björn Eskofier

Prof. Dr. Anne Koelewijn

You can find an overview of the complete MaD lab team here.


Research topics

The MaD Lab is organized in five research groups working on different interdisciplinary topics:

  • Applied Machine Learning
  • Biomechanical Motion Analysis and Creation
  • Digital Health – Biosignals
  • Digital Health – Gait Analytics
  • Sport Analytics


Selected publications


Further information

More information about the MaD lab can be found on the website.