Institut für Biomedizinische Technik
Albert-Einstein Allee 45
D-89081 Ulm
Deutschland
- Building: West 45
Albert-Einstein Allee 45
2. Stock
Prof. Dr. Walter Karlen
Institutsleiter
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Deutschland
- Room: 45.2.230
- +490731-50-27300 (Secretary)
- Email: walter.karlen(at)uni-ulm.de
- website: Prof Walter Karlen
- Twitter: @karliwalti
Research Profiles
- ORCID: 0000-0001-8643-3074
- Google Scholar: jnpiIskAAAAJ&hl
Sükran Kilic
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.228
- Phone: +49(0)731-50-27300
- Email: suekran.kilic(at)uni-ulm.de
- website: Team
E-Ladestation
Haltestelle "Uni West"
Ulm
Deutschland
Straßenbahn (Linie 2)
Parkplatz P10
Ulm
Germany
Öffentlich zugänglich, www.uni-ulm.de
2021-2022
- Research Assistant
Jhoiss Baloi
WS 2021/2022
- Extracting digital biomarkers from smartphone sensors for post-operative management of distal radius fractures
- MSc.
- now at: Airbus / Secure Land Communications
Projektwebseite:
Launchpad
Tugce Canbaz Gümüssu
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.234
- Phone: +49(0)731-50-27311
- Email: tugce.canbaz(at)uni-ulm.de
- website:
2022 -
received her B.Sc. degree in electrical and electronics engineering from Middle East Technical University, Turkey in 2014 and M.Sc. degree in sensor systems technology from Karlsruhe University of Applied Sciences, Germany in 2021.
She is currently pursuing her Ph.D. degree in the Institute of Biomedical Engineering at Ulm University. Her current research interests include biomedical signal processing, sensor fusion, sensor systems design, distributed computing, and power optimisation of remote devices and algorithms.
Khrystyna Semkiv
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
2022 -
Spoorthy Siddannaiah
2022
- HiWi
Divya Tripathi
WS 2022/2023 (M.Sc )
- Real-time sleep stage classification using lightweight embedded deep learning
WS 2022/2023
- Wearable system design with a PPG sensor
- BSc.
Mohamed Alsharkawy
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
2022 -
Matilde Martinho dos Santos
2023
- HiWi
Omar Rashed
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
- Email: omar.rashed(at)uni-ulm.de
SS 2023 (B.Sc )
- Wearable actimeter design with a temperature sensor
Mohamed Elsheikh
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
SS 2023 (B.Sc )
- Novel firmware design for low power wearables
Janina Hausmann
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.234
WS 2023/2024 (M.Sc )
- Machine Learning for real-time detection of sleep arousals
Priya Shukla
2023
- Hiwi
Mohamed Aboelenein
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
2023 -
Joachim Kröner
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Deutschland
- Room: extern
WS 2023/2024 (M.Sc )
- Real time Localisation and Measuring of QRS complexes
Masterarbeit:
Titel: Real time Localisation and Measuring of QRS complexes
Betreuer: Prof. Dr. Walter Karlen
Nour Elshahawy
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
2023 -
Linus Kienle
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: extern
- Email: linus.kienle(at)uni-ulm.de
2023 -
Masterarbeit:
Titel: Chirurgische Instrumentenerkennung mittels Neuronaler Netze
Betreuer: Prof. Dr. Walter Karlen
Remziye Yonca Kayaoglu
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: extern
2023 -
Masterarbeit:
Titel: Development of an MR gradient system specialized for Hallbach magnets
Betreuer: Prof. Dr. Walter Karlen
Boles Waheed
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
- Email: boles.waheed(at)uni-ulm.de
2024 -
Bachelorarbeit:
Titel: Automated signal cleaning for diabetes sensors
Betreuer: Prof. Dr. Walter Karlen
Waleed Elgamal
Universität Ulm
Albert-Einstein-Allee 45
89081 Ulm
Germany
- Room: 45.2.223
- Email: waleed.elgamal(at)uni-ulm.de
2024 -
Bachelorarbeit:
Titel: Sleep analysis using machine learning
Betreuer: Prof. Dr. Walter Karlen