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Running theses

Summer 2022: Automated processing and interpretation of heart signals using deep learning techniques (M.Sc. Thesis, Examiner: Prof. Dr. Tim Kacprowski)

Past theses

Winter 2021: Cell detection in microscopy images of glioblastomas via artifical neural networks trained using crowdsourcing (M.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno, Prof. Dr. Friedrich Feuerhake)
Winter 2021: Stress detection in noisy pulse oximetry signals (B.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Summer 2021: Entwicklung und Evaluation eines Sensorkissens auf Basis der Phonokardiographie (B.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Summer 2021: Deep Learning applied to ECG Time-frequency Transforms for End-to-End Classification (M.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Summer 2021: Entwicklung eines Neuronalen Netzwerks zur Erkennung von physischen Aktivitäten aus textilen EKG-Signalen (B.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Summer 2021: Entwicklung eines Federated-Learning Frameworks zur Aktivitätsklassifikation anhand von einkanaligen Elektrokardiogramm-Daten (B.Sc. Thesis, Examiner: Prof. Dr. Tim Kacprowski)
Winter 2020: Entwicklung einer mobilen App zur Analyse der kardiopulmonalen Kopplung gemessen durch textile EKG-Sensoren (B.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Winter 2020: Entwicklung einer Edge-Plattform zur EKG-Analyse mittels Künstlicher Intelligenz (M.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Winter 2020: Multi-Sensor Fusion with Artificial Intelligence for Fall Detection in Smart Homes (M.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Summer 2020: Risikoanalyse und Implementierung einer IoT-Infrastruktur für das Monitoring von Vitalparametern gemessen durch textile Sensoren (M.Sc. Thesis, Examiner: Prof. Dr. Thomas M. Deserno)
Summer 2020: Automatisierte und ontologiebasierte Detektion von Fehlern in einem Register für klinische Studien (M.Sc. Thesis, Examiner: Prof. Dr. Thomas Königsmann)
Summer 2020: Improved scale-space line classification of multiscale parameter estimation for noisy ECG signals (B.Sc. Thesis, Examiner: Prof. Dr. Markus Kukuk)


Intern supervision

Summer-Winter 2021: Vinothini Selvaraju (IIT Madras)
Summer 2021: Shrikant Arvavasu (NITK Surathkal)
Summer 2021: Mitali Meratwal (IIT Bombay)
Summer 2020: Samad Koita & Mohammad Taufeeque (IIT Bombay)
Summer 2017: Tyler Lovelace (Texas A&M University; Now: University of Pittsburgh)


Teaching activity (University of Göttingen)

Winter 2022: Biosignal processing

Past teaching activity (Technical University of Braunschweig)

Winter 2021: Medical Informatics Seminar (supervision of a B.Sc. and a M.Sc. student)
Winter 2021: Biomedizinische Signal- und Bildanalyse (providing lectures and lessons)
Summer 2021: Team Project (jointly with Telecommunication Networks Group, TU Berlin)
Summer 2021: Team Project (supervision of student group)
Summer 2021: Software Engineering Laboratory (supervision of student group)
Winter 2020: Biomedizinische Signal- und Bildanalyse (providing lectures and lessons)
Winter 2020: Medical Informatics Seminar (supervision of two B.Sc. and two M.Sc. students)
Winter 2020: Research Seminar (jointly with Chair of Services Management, TU Braunschweig)
Summer 2020: Software Engineering Laboratory (supervision of student group)
Summer 2020: Unfallinformatik (provided lessons)