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.
Philipp Dumbach and Philipp Laut (University of Bamberg) presented our research on “The Integration of Artificial Intelligence in the Organizational Adoption - A Configurational Perspective” at the 42nd International Conference on Information Systems (ICIS 2021) in Austin, Texas in December 2021. Th... Continue
We are pleased to announce that our latest paper "Security Engineering of Patient-Centered Health Care Information Systems in Peer-to-Peer Environments: Systematic Review" is now published by a leading journal for digital medicine and health care in the internet age, the Journal of Medical Internet ... Continue
Philipp Dumbach and Ruining Liu presented our research on “The Adoption Of Artificial Intelligence In SMEs – A Cross-National Comparison In German And Chinese Healthcare” at the BIR 2021 Workshops co-located with the 20th International Conference on Perspectives in Business Informatics Research (BIR... Continue
The Machine Learning and Data Analytics Lab (MaD Lab) is proud to announce an intro session in which we will present numerous research projects (10 ECTS), in a wide range of applications, from deep learning methods to industrial or medical applications.
The meeting will take place Thursday, Oct 2... Continue
We are proud to announce that our latest research contribution was accepted at IEEE TNSRE and is available for early access here:
https://ieeexplore.ieee.org/document/9567680
We developed an algorithm to detect standardized gait tests from continuous real-world IMU recordings. It can help to red... Continue
