معرفی
Mohammed Nabil El Korso is Professor of Statistical Signal Processing at Université Paris-Saclay's Laboratoire des Signaux et Systèmes (L2S). His research develops signal processing frameworks for complex systems, with applications spanning radioastronomy, radar technology, and adaptive sensing.
His investigations focus on robust estimation theory, distributed processing architectures, machine learning for signal analysis, and multi-sensor array optimization. Principal investigator for Work Package 1 research initiatives at L2S.
Research applications include MIMO radar, SAR imaging, change point detection in sensor networks, and spectral analysis methods for radioastronomy data. Technical expertise covers covariance matrix estimation, graphical models, and high-dimensional inference.
