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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!

 

On Nov 5th the Bavarian Innovation Labs were participating in the 1. ZD.B Demo Day at FAU in Erlangen. We are proud to been able to host this event together with our partners Zentrum Digitalisierung.Bayern and Medical Valley EMN. But all the more we are celebrating the 2nd place of our InnoLab Team ...

The EIT Health InnoStars program supports the exchange between European countries in order to increase the pace of innovation in the partnering regions. We were pleased to welcome them at our Innovation Lab for Wearable and Ubiquitous Computing, discussed concepts at MaD of prototyping and encouragi...

Annette did her studies in Medical Engineering at the FH OÖ in Austria.  For the master thesis she joined the Institute of Robotics and Mechatronics at DLR in Oberpfaffenhofen, where she started to work on haptic feedback methods especially for people using hand prosthesis.  After finishing her mast...

On Wednesday Björn gave a talk introducing the MaD Lab to students from grade nine and ten. He gave insights into our work and discussed the term “Machine Learning” with the students. Malte brought a Demo and gave the students information about the research of gait analysis that we conduct. He showe...

Markus Wirth presented his research work on "Evaluation of Interaction Techniques for a Virtual Reality Reading Room in Diagnostic Radiology" @31st ACM User Interface Software and Technology Symposium in Berlin. Well done! #UIST2018        

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

Events

No upcoming events.