Thesis of Heidi Souibki
Subject:
Multivariate analysis of time series with variable sampling rates for anomaly detection in a data-centric medical system.
Start date: 27/03/2026
End date (estimated): 27/03/2029
Advisor: Mohand-Said Hacid
Coadvisor: Haytham Elghazel
Summary:
The goal of this thesis is to develop an automated analysis of the data produced by a data-centric medical system in order to learn its nominal behavior and detect operational anomalies.