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
After a whirlwind of experiences, including earning a bachelor's degree in Aerospace Engineering and dual master's degrees in Computational Science and Engineering, Jitin is embarking on a new chapter as a researcher at the MaD Lab, where he will be working towards his PhD. Prior to this, he gained ...
We’re super proud of our student Victoria Müller, who participated in the ZEISS Women Award. Out of a pool of nearly 200 participants, Victoria was voted among the Top 10 finalists and was invited to the award ceremony in Dresden.
Victoria consistently contributed to MaD Lab research projects ove...
Two weeks ago, we presented our research at this year's IEEE Biomedical and Health Informatics Conference (BHI ’23) (https://bhi.embs.org/2023/) in Pittsburgh, USA!
The conference was a full success for the MaD Lab. In total, we were part of five contributions:
Robert Richer presented the ...
Our paper "Federated Electronic Health Records for the European Health Data Space" by Raab et al. was just published in The Lancet Digital Health. This collaborative effort between the MaD Lab and international experts in medicine, digital health and health policy, presents a novel approach to handl...
Bjoern Eskofier, Chair of Machine Learning and Data Analytics, has now been awarded by the Unipreneurs initiative under the patronage of the German Federal Ministry of Research and the German Federal Ministry of Economics.
The Unipreneurs initiative aims to identify and reward university professo...
