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: 22.09.2020 – 03.11.2020 via StudOn!
At the WeRob2020/WearRAcon Europe 2020 conference, Prof. Anne Koelewijn was awarded the best paper award, sponsored by Sensors journal. At the conference, she presented the paper “Predictive Gait Simulations of Human Energy Optimization”, collaborative work with Prof. Jessica Selinger, who leads the... Continue
We are happy to introduce a new publication, which was written in cooperation with the Chair of Digital Industrial Service Systems from FAU: “Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring”. In this paper An Nguyen, Srijeet Chatterjee, Sven Weinzierl, Leo Schwinn, Martin M... Continue
In this paper, we propose a novel, simple, and secure mutual authentication protocol that supports offline access, leverages independent and stateless encryption services, and enables patients and medical professionals to establish secure connections when using patient-centered health care informati... Continue
In biomechanical motion analysis, trajectory optimization can be used for two purposes: reconstruction of measured movements and prediction of changes in movement in response to environmental changes. Trajectory optimization of musculoskeletal models enable an exhaustive analysis of various motion ... Continue
The MaD Lab is searching for an apprentice as IT specialist. The apprenticeship will start in September 2021. More information Continue
