Beyza Cinar

Beyza Cinar, M.Sc.

Room:
118
Phone:
+49406541-2506
Visiting Address
Helmut-Schmidt-Universität
Building H3
Holstenhofweg 85
22043 Hamburg
Postal Adress
Helmut-Schmidt-Universität
Engineering
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

Publikation Symbol-Icon
Transfer Learning in Hypoglycemia Classification
Beyza Cinar, Florian Grensing, Louisa van den Bloom, Maria Maleshkova
In Lecture Notes in Computer ScienceLecture Notes in Computer Science (pp. 98–109).
Publikation Symbol-Icon
Review of Non-Invasive Analysis of Blood Components
Beyza Cinar, Rainer Brueck, Alexander Keil
In IFMBE ProceedingsIFMBE Proceedings (pp. 119–126).

HSU

Letzte Änderung: 12. March 2025