Chairholder | Vicente Zarzoso

Vicente Zarzoso is full Professor at Université Côte d'Azur. His research interests include:  

• Fundamental aspects of statistical and array signal processing, machine learning, tensor decompositions, L1-norm criteria, blind and semi-blind estimation, source separation and independent component analysis, higher-order statistics.
• Applications in biomedical signal processing (atrial fibrillation analysis, physiological signal modeling, fetal electrocardiogram extraction) and communications (channel identification and equalization).

Atrial fibrillation is the most common sustained arrhythmia in clinical practice and remains the last great frontier of cardiac electrophysiology. The project aims to put forward new AI techniques to help cardiologists perform more effective patient-tailored catheter ablation procedures to treat this challenging cardiac condition.