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Hassan A. MAHAMAT, Ph.D is a biomedical research engineer specializing in signal processing, with a focus on physiological signals. Hassan A. has worked at IHU LIRYC, NATEO HEALTHCARE, and the Université de Bourgogne. Their expertise includes analyzing foetal electrocardiogram signals and classifying ECG data from patients with Wolff Parkinson White syndrome. Hassan completed their PhD on the analysis and detection of cardiac abnormalities in the said syndrome, aiming to propose non-invasive and automatic approaches. Furthermore, Hassan A. has educational background in computer science, instrumentation, and medical imaging.