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
Attention machine learning enthusiasts, something extraordinary is happening this year! Our AI-Hackathon The Tensor Tournament T3 is expanding its horizons. In 2024, we're thrilled to announce that the hackathon will take place not only at FAU but at several Bavarian universities and universities of...
Our paper published in OJEMB explains why there is a urgent need for open algorithms for human gait analysis and explains our approach to developing new methods.
Check it out here: https://ieeexplore.ieee.org/document/10411039
Our new open-access article Artificial intelligence trend analysis in German business and politics: a web mining approach by Dumbach et al. was published in the International Journal of Data Science and Analytics.
We describe a web mining approach to collect a novel data set consisting of busines...
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...
