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Welcome to the MaD Lab!

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.

 

Home of the Innovation Lab

The MaD Lab is the home of the Innovation Lab for Wearable and Ubiquitous Computing, where students develop innovative prototypes with industry partners.

 

On September 27, An was awarded by the Association of German Engineers (VDI) for his excellent Master’s degree. An did his Master's Programs at the Technische Universität Berlin and the University of Michigan. He wrote his Master ‘s Thesis with the title “Development and Clinical Validation of Inert...

Johannes studied Physics in Erlangen and wrote both, the bachelor’s and master’s thesis, at the Erlangen Centre for Astroparticle Physics (ECAP). His bachelor's thesis dealt with the optimization of the signal selection for the acoustic particle detector AMADEUS. In his Master’s thesis, he improved ...

After growing up reasonably close to Erlangen, René left this region to study Kognitive Informatik (Cognitive Computer Science) in Bielefeld, Germany. During that time, he spent a semester at Aarhus University in Denmark. This experience abroad has led him to leave Germany again and pursue a master’...

Leo Schwinn joined the MaD lab in August as a Ph.D. candidate. During his bachelor studies in medical engineering in Erlangen, he became interested in pattern recognition and machine learning. The processing of language became the focus of his studies. His bachelor thesis dealt with automatic pat...

Mohamad always had a great interest in computer systems. He received his Bachelor's degree in Computer Engineering and Informatics. He worked for two years in the computer and communication sector before pursuing his Master's degree in Italy in Robotics and Automation Engineering where he developed ...

Contact

Irene Steinheimer

  • Organization: Department of Computer Science
  • Address:
    Carl-Thiersch-Straße 2b
    Room 01.017
    91052 Erlangen
  • Phone number: +49 9131 85 28990
  • Fax number: +49 9131 85 28980
  • Email: irene.steinheimer@fau.de

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