معرفی
Vera Hermine Goebel is a Professor at the University of Oslo's Department of Informatics (IFI), specializing in Data and Knowledge Management. She leads research in distributed systems, healthcare informatics, and privacy engineering. Her work focuses on machine learning applications in medical diagnostics, particularly sleep apnea detection using wearable sensors and data stream processing. She collaborates extensively with interdisciplinary teams and contributes to projects like Respire Parrot (privacy engineering for health analytics) and Laryngomalaci (pediatric respiratory research).
Education & Affiliations
- Department of Informatics (IFI), University of Oslo
- Member of the Data and Knowledge Management (DKM) research group
Research Interests
Her research spans:
- Privacy-preserving machine learning
- Real-time distributed systems
- Wearable sensor technologies for healthcare
- Explainable AI in medical diagnostics
- Stream data processing frameworks
Publications
Her articles highlight advancements in:
- Efficient operator migration in stream processing
- Differential privacy for medical data
- Clinical validation of low-cost respiratory sensors
Awards
No awards explicitly listed in the provided text.
Grants & Advising
- Oversees grants related to healthcare IoT and privacy engineering
- Advises on interdisciplinary projects involving medical and computer science teams
- Collaborates with institutions like Oslo University Hospital
Labs & Teams
- Leads the Data and Knowledge Management lab at IFI
- Active in cross-disciplinary initiatives for medical technology innovation
