Welcome
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.
The MaD Lab is the home of the Innovation Lab for Wearable and Ubiquitous Computing, where students develop innovative prototypes with industry partners. Application phase for next winter term starting at September 6th via StudOn!
Marlies Nitschke presented this week at the Footwear Biomechanics Symposium 2021 our research on "Prediction of the effect of midsole stiffness and energy return using trajectory optimisation". This research origins from a fantastic cooperation between adidas and the FAU. This work is extending our ... Continue
Johannes joined the Lab in June 2021. He obtained a Master's degree in Computer Science at the Friedrich-Alexander University Erlangen-Nürnberg (FAU) with a focus on pattern recognition, database systems, and distributed systems. Previously, he studied European Economic Studies at Otto-Friedrich Uni... Continue
Kai studied physics at the university of Erlangen-Nuremberg with a special interest in theoretical physics. While in his Bachelor studies, he was involved in research about the fundamental structure of spacetime, he turned to more applied semiconductor optics in his Master’s work at the Max Planck I... Continue
Die internationale Wettbewerbsfähigkeit des Wissenschaftsstandortes Bayern auf entscheidenden Zukunftsfeldern zu stärken, ist grundlegendes Ziel der mit über drei Milliarden Euro unterfütterten Hightech Agenda Bayern und ihres Beschleunigungsprogramms Hightech Agenda Plus. Welchen Mehrwert die einzi... Continue
Björn Eskofier gives the plenary lecture on AI and wearables for digital medicine this upcoming Thursday during the annual Congress of the German senology society.
We at the MaD lab are happy to collaborate with Medical Valley, EIT Health, HIH 2025, Mobilise-D, and Digital Medicine Society (DiMe) t... Continue
