معرفی
Bernadette Dorizzi is a Professor at Telecom SudParis, part of Institut Mines-Télécom, where she conducts research through the SAMOVAR laboratory. Her extensive academic career spans multiple disciplines, with a focus on biometrics, healthcare monitoring systems, and biomedical signal processing. With publications dating from 1995 to 2025, she maintains an active research profile with significant contributions to her fields.
Her research interests center on biometric authentication systems, particularly iris recognition and signature verification techniques. She has pioneered methods for EEG analysis in Alzheimer's disease detection, developing novel entropy-based markers and multi-scale brain connectivity approaches. Additionally, her work extends to environmental monitoring, specifically indoor air quality assessment using sensor networks and dimensionality estimation techniques. Her interdisciplinary approach bridges engineering, computer science, and medical applications.
The recent publication trends (2021-2025) reveal a strategic focus on Alzheimer's disease detection through EEG analysis, with multiple papers exploring entropy measurements, brain network connectivity, and multi-scale approaches. Simultaneously, she maintains strong activity in environmental monitoring, particularly sensor-based indoor air quality assessment. Her biometrics research continues to evolve, with recent work addressing practical applications like border security in the Schengen area.
Professor Dorizzi has contributed to multiple patents in biometric technologies, including methods for comparing iris images and parameterized contour search for iris comparison. Her work demonstrates consistent translation of theoretical research into practical applications across healthcare, security, and environmental monitoring domains.
She collaborates extensively with researchers across institutions, particularly with colleagues like Jérôme Boudy, Nesma Houmani, and Yaneck Gottesman. Her laboratory work involves multimodal data fusion approaches, combining various sensor inputs to enhance system performance in healthcare monitoring and biometric applications.
