Alumni
We thank all our previous team members and students for the contributions they have made to the success of our institute!
- WS 2023 - 2024 (M.Sc. )
- Thesis: Development of an MR gradient system specialized for Hallbach magnets
- SS 2025 (M.Sc. )
- Thesis: Estimation autonomic arousal intensity during cortical arousals using EEG signals
- WS 2021/2022 (M.Sc. project )
- Thesis: Extracting digital biomarkers from smartphone sensors for post-operative management of distal radius fractures
- WS 2022/2023 (M.Sc. )
- Thesis: Real-time sleep stage classification using lightweight embedded deep learning
- WS 2023/2024 (M.Sc. )
- Thesis: Machine Learning for real-time detection of sleep arousals
Researchers mentored by Prof. Karlen
who moved to academia and business
Dr. Chris Brouse, now Health Sensing Algorithms at Apple
Dr. Caroline Lustenberger, now Group Leader at ETH Zurich
Dr. Giulia Da Poian, now Group Leader at ETH Zurich
Dr. Patrick Schwab, now Director of Artificial Intelligence and Machine Learning at GlaxoSmithKlein
Dr. Maria Laura Ferster, now Product and technology design engineer at Tosoo AG