ºÚÁÏ´«ËÍÃÅ

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
  • 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 2021/2022 (M.Sc. project )
  • Thesis: Extracting digital biomarkers from smartphone sensors for post-operative management of distal radius fractures
jetzt:
  • 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

, now Health Sensing Algorithms at Apple

, now Group Leader at ETH Zurich

, now Group Leader at ETH Zurich

, now Director of Artificial Intelligence and Machine Learning at GlaxoSmithKlein

, 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

Anfahrt