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.
Student theses and projects
We are proud to share our latest study, published in MDPI Audiology Research, in collaboration with WS Audiology! Together, we explored how hearing aid amplification affects gait performance using hearing-aid integrated motion sensors. Our study showed that in low cognitive demand settings, amplific...
We are excited to share our latest study, published in JMIR Human Factors, which resulted from a collaboration with the amazing team from ProCarement GmbH. Together, we explored how we can support patients through better knowledge transfer and patient engagement in their digital health app ProHerz.
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We are delighted to announce that Dr. Janina Beilner has received her certificate as a professor on 25.03.2025 and is now officially an Honorary Professor at the Machine Learning and Data Analytics Lab. We look forward to continuing our collaboration with her in this new role.
Congratulations to ...
The MaD Retreat took place from 10th to 13th February in St. Johann in Tirol, Austria, providing PhD students a platform to share their research, engage in workshops, and build connections. Each participant held a presentation on their current research, fostering interdisciplinary discussions and kn...
Björn studied Computer Science at the Baden-Wuerttemberg Cooperative State UniversityStuttgart in cooperation with the Robert Bosch GmbH. In his Bachelor Thesis, he applied object detection in an agricultural setting to reduce the environmental impact of conventional agriculture. This real-world app...
