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!


Did you ever wonder what we are actually doing in the MaD Lab? Next week you will have the chance to get insights into our Ph.D. students' work. The MaD Lab will host the bi-annual MaD-Conference where the Ph.D. students present their recent topics. For more information on the topics please se...

An studied Electrical Engineering at the Technical University of Berlin. During that time, he spent a year at the KTH Royal Institute of Technology in Stockholm, Sweden and did a Master program in Electrical and Computer Engineering at the University of Michigan, Ann Arbor, US. The time abroad shift...

Congratulations to Dr. MaD Felix Kluge, who successfully defended his PhD thesis entitled "Instrumented gait analysis in osteoarthritis: From lab towards ambulatory systems".

Congratulations to Dr. MaD Julius Hannink, who successfully defended his PhD thesis entitled “Mobile Gait Analysis: From Prototype towards Clinical Grade Wearable”.

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...


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:


No upcoming events.