Skip to main content

All News from the MIGS Working Group

Show more filters
Bild von der AIIoT 2026 mit Annika Steiger und Jasmin Freudenberg

FACE Project Presented at AIIoT 2026 in Seattle

<p>Research from Siegen in the International Spotlight: At the 2026 IEEE World AI IoT Congress (AIIoT) in Seattle, the University of Siegen presented the latest findings from the FACE research project. The focus was on a newly published paper on the systematic evaluation of ECG preprocessing methods for resource-constrained edge systems. The international exchange provided valuable insights for the further development of efficient AI-based ECG analyses.</p>

Gruppenphoto des GAiST Projektkonsortiums in Berlin Mai 2026
Research

The Future of Independent Living: The GAiST Team from the University of Siegen Presents AI Solutions at the SmartLivingNEXT Conference 2026

Safe Real-World Operation for Intelligent Assistance Systems: The University of Siegen Demonstrates in Berlin How AI-Based Vital Signs Analysis Enhances Age-Appropriate Living.

© GETEMED Medizin- und Informationstechnik AG
Ein Mann nutzt ein EKG-Gerät
Research

Bringing AI to Cardiac Medicine

Researchers at the University of Siegen are training AI systems to improve the analysis of long-term ECGs. They aim to support physicians in the fast and reliable analysis of heart data directly at the medical practice. The project is funded with roughly seven million euros.

© Universität Siegen
Beteiligte Partner des Projektes GAiST stehen vor der Uni-Bibliothek am Campus Unteres Schloss.

GAiST project: Self-determined living in old age through smart home technology

Smart assistance for senior citizens: The University of Siegen is part of the GAiST project, which is researching how the use of medical vital data measuring devices in combination with state-of-the-art sensor technology can help older people to live independently and age-appropriately in their own homes for a long time.

Contact Person

Foto Kai Hahn

apl. Prof. Dr.-Ing. Kai Hahn

Member

Forschungsgruppe .MIGS

Medizinische Informatik und Graphbasierte Systeme

More about the person
Profile picture of Christian Weber

Dr. Dipl.-Inform. Christian Weber

Academic Advisor and Working Group Leader

Christian Weber is a lecturer at the University of Siegen, where he heads the Medical Informatics and Graph-Based Systems (.MIGS) research group at the Faculty of Natural Sciences and Technology at the University of Siegen together with Prof. Kai Hahn.

christian.weber@uni-siegen.de
More about the person
Profilbild

Jasmin Freudenberg M.Sc.

Research Associate

Jasmin Freudenberg ist wissenschaftliche Mitarbeiterin und Doktorandin in der Arbeitsgruppe für Medizinische Informatik und Graphbasierte Systeme (.MIGS) an der Universität Siegen.

jasmin.freudenberg@uni-siegen.de
More about the person
Annika Steiger

Annika Steiger M.Sc.

Research Associate

Annika Steiger ist wissenschaftliche Mitarbeiterin und Doktorandin in der Arbeitsgruppe für Medizinische Informatik und Graphbasierte Systeme (.MIGS) an der Universität Siegen.


 

More about the person
MubarisNadeem

Dr.-Ing. Mubaris Nadeem

Research Assistant

Dr. Mubaris Nadeem ist wissenschaftlicher Mitarbeiter und Postdoktorand in der Arbeitsgruppe für Medizinische Informatik und Graphbasierte Systeme (.MIGS) an der Universität Siegen.

mubaris.nadeem@uni-siegen.de
More about the person