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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.

The registration for the Innolab in thewinter term 2018/19 starts on the 17th of September! Students can register via Studon!

Christina Martindale, Robert Richer, Stefan Gradl, Markus Wirth and Prof. Dr. Bjoern Eskofier presented their research work @the 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Special congratulations to Christine Martindale for being selected as an o...

Peter Blank made it into National Geographic with his research work on smart table tennis rackets! Very well done! Link (German) #Sensoren im Tischtennisschläger  

Thanks to Matthias Ring the MaD Lab was approved for the NVIDIA GPU Grant. This means that our lab is a proud owner of a Titan Xp. We gratefully acknowledge the support of the NVIDIA Corporation with the donation of one NVIDIA TITAN Xp GPU for our research. Looking forward doing some MaD Process...

MaD Lab members Martin Ullrich and Arne Küderle presented the forefront of sensor-based gait analysis together with their clinical partners Prof. Jochen Klucken, Dr. Heiko Gaßner, and Till Gladow from the university hospital Erlangen @FAU Neuroscience poster-day.

On 2nd and 3rd of July Martin and Till visited the European Falls Festival in Manchester, UK. The European Falls Festival brings together leading academics, researchers, healthcare practitioners, clinicians, industry representatives and key stakeholders from across the globe to celebrate best practi...

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