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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 the summer term 2018 starts on the 5th of March! Students can register via Studon!

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...

Coming from Medical Engineering by education, Philipp already put a focus on data and signal processing during his Bachelor and Master studies. After placing his master thesis project at the MaD Lab in cooperation with the adidas AG in Portland, US he decided to continue his time at the Friedrich Al...

Markus Wirth presented his research work on "Assessment of Perceptual-Cognitive Abilities among Athletes in Virtual Environments: Exploring Interaction Concepts for Soccer Players" @ACM DESIGNING INTERACTIVE SYSTEMS (DIS) Conference 2018 in Hong Kong. Well done! #DIS2018

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