Beyza Cinar, M.Sc.
Room:
118
Phone:
+49406541-2506
Email:
Visiting Address
Helmut-Schmidt-Universität
Building H3
Holstenhofweg 85
22043 Hamburg
Postal Adress
Helmut-Schmidt-Universität
Fakultät für Elektrotechnik
Postfach 70 08 22
22008 Hamburg
Profile
Beyza Cinar has been a research assistant at the Chair of Data Engineering since 2024. With her expertise in medical data science, she leads the Hypoglycemia detection in type 1 diabetes project, among other research projects. Her research focuses on the early detection of hypoglycemia using machine learning methods trained on time series data. A key objective of her work is the development of a digital twin to optimize patient-centered diabetes management, with a particular emphasis on efficient data processing and modeling to provide AI-ready data.
Teaching
- Information security of networked logistics systems
Selected publications
Transfer Learning in Hypoglycemia Classification
Beyza Cinar, Florian Grensing, Louisa van den Bloom, Maria Maleshkova
In Lecture Notes in Computer Science. Lecture Notes in Computer Science (pp. 98–109).
Beyza Cinar, Florian Grensing, Louisa van den Bloom, Maria Maleshkova
In Lecture Notes in Computer Science. Lecture Notes in Computer Science (pp. 98–109).
Review of Non-Invasive Analysis of Blood Components
Beyza Cinar, Rainer Brueck, Alexander Keil
In IFMBE Proceedings. IFMBE Proceedings (pp. 119–126).
Beyza Cinar, Rainer Brueck, Alexander Keil
In IFMBE Proceedings. IFMBE Proceedings (pp. 119–126).
Letzte Änderung: 13. July 2026