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: Machine Learning for real-time detection of sleep arousals
  • WS 2023/2024 (M.Sc.)
  • Thesis: Real time Localisation and Measuring of QRS complexes
  • SS 2024 (M.Sc. )
  • Thesis: Chirurgische Instrumentenerkennung mittels Neuronaler Netze
  • SS 2025 (M.Sc. )
  • Thesis: Estimation autonomic arousal intensity during cortical arousals using EEG signals
  • SS 2023 (B.Sc. )
  • Thesis: Novel firmware design for low power wearables
  • SS 2023 (B.Sc. )
  • Thesis: Wearable actimeter design with a temperature sensor
  • WS 2023 - 2024 (M.Sc. )
  • Thesis: Development of an MR gradient system specialized for Hallbach magnets
  • SS 2024 (B.Sc. )
  • Thesis: Sleep analysis using machine learning
  • WS 2022/2023 (M.Sc. )
  • Thesis: Real-time sleep stage classification using lightweight embedded deep learning
  • WS 2024/2025 (M.Sc. )
  • Thesis: Temperature based Prediction of Female Ovulation
  • SS 2024 (B.Sc. )
  • Thesis: Automated signal cleaning for diabetes sensors

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

Institut für Biomedizinische Technik

Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Deutschland

Sekretariat:
Raum 45.2.228

+49 (0)731-50-27300
bmt(at)uni-ulm.de

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