Status: at work / Type of Theses: Master theses / Location: Dresden
This research project is associated with IntelliLung project which aims to reduce lung injuries by
providing automated suggestions to clinicians for mechanically ventilated patients in the ICU.
Biased datasets can degrade the performance of the trained algorithms. Considering the
importance of safety for this application, it is critical to identify these biases, discover their
source and develop strategies to mitigate them. Also the aim is to discover biases that can help
us structure and reduce complexity of the algorithms. This project is supported by
interdisciplinary teams and aims to identify biases not only from the Machine Learning (ML) /
Reinforcement Learning (RL) perspective but also using the domain knowledge provided by
clinicians.
In case of any questions or interest, please contact us by sending your CV and study transscript. It may also be possible to work on the project as a research project or as part of a seminar thesis.
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