
Mohammed Nabil EL KORSO
Mohammed Nabil El Korso obtained the M.Sc. from the National Polytechnic School, Algeria, Master degree and Ph.D. from Paris-Saclay University, and the HDR from Paris Nanterre University. From 2013 to 2022, he was an Assistant Professor at Paris Nanterre University and he is currently Professor at Paris-Saclay University. His research interest lies in statistical methods for signal processing with emphasis on robust and adaptive detection/estimation, asymptotic and non-asymptotic performances analysis and array processing applied to multi-sensor systems, radar, sonar and interferometers in the context of radio-astronomy. He is a member of the EURASIP Special Area Team TMTSP (Theoretical and Methodological Trends in Signal Processing) and Associate Editor for IEEE Transactions on Signal Processing and Elsevier Signal Processing. / Université Paris-Saclay
mohammed.nabil.el-korso@l2s.centralesupelec.fr
L2S, CentraleSupélec
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Missing Data in Signal Processing and Machine Learning: Models, Methods and Modern Approaches
Learning-based probabilistic subarray switching for robust low-cost interferometric imaging
Sequential learning of SAR image time series for monitoring Earth deformation
Estimation de la direction d’arrivée via une métasurface programmable et de l’apprentissage profond
Estimation de la direction d’arrivée fondée sur l’apprentissage à l’aide d’une métasurface programmable
Robust Covariance Matrix Estimation for Uniform Rectangular Array
Amortized Variational Inference for Logistic Regression with Missing Covariates
A Fast Non-Iterative Method for Learning Latent Variable Causal Models
Robust inference with incompleteness for logistic regression model
Direction finding by learning-assisted programmable metasurface
Enhanced‐resolution learning‐based direction of arrival estimation by programmable metasurface
Unrolled expectation maximization algorithm for radio interferometric imaging in presence of non gaussian interferences
Kalman filter for dynamic source power and steering vector estimation based on empirical covariances
Robust Sequential Phase Estimation using Multi-temporal SAR Image Series
Sequential Covariance Fitting for InSAR Phase Linking
Intelligent Metasurface for Direction Finding
Métasurface programmable combinée à de l’apprentissage profond pour l’estimation de la direction d’arrivée
Sliding IPL: An efficient approach for estimating the phases of large SAR image time series
Nouvelle approche pour l'estimation séquentielle et robuste de phase à partir de séries d'images SAR multi-temporelles
Mobile Target Tracking with a Reconfigurable Metasurface in the X-Band
Direction Finding by Reconfigurable Metasurface Via Machine Learning
Métasurface pour l’estimation de la direction d’arrivée
Programmable Metasurface for DOA Estimation from Mobile Objects and Wave Redirection
Direction-of-Arrival Estimation by Metasurface Assisted by Deep Learning for IoT Systems
Programmable Meta‐Reflector for Multiple Tasks in Intelligent Connected Environments
Kalman filter for radio source power and direction of arrival estimation
Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interefences
Low-rank EM-based imaging for large-scale switched interferometric arrays
RFI-Aware and Low-Cost Maximum Likelihood Imaging for High-Sensitivity Radio Telescopes
A comparison of antenna placement criteria based on the Cramér–Rao and Barankin bounds for radio interferometer arrays
Kalman Filter for Dynamic Estimation of Stochastic Radio Source Power and DoA
Reconfigurable Meta-Reflector for Estimating Direction of Arrival
Reflective Intelligent Metasurface for Automatic Tracking of Mobile Targets
Unrolled Expectation Maximization for Sparse Radio Interferometric Imaging
Sequential Phase Linking : Progressive Integration of SAR Images for Operational Phase Estimation
Estimation de la direction d’arrivée à l’aide d’une métasurface programmable
Direction-of-Arrival Estimation by a Programmable Metasurface
Kalman filter for radio astronomy dynamic imaging based on empirical covariances
A Bayesian Lower Bound for Parameter Estimation of Poisson Data Including Multiple Changes (extended)
Métasurface reconfigurable pour l’estimation de la direction d’arrivée
Kalman filter for dynamic imaging based on complex empirical covariances
Antenna sub-array switching strategy for low-cost & high-resolution radio-astronomical imaging
Barankin Bound vs Cramér-Rao Bound for Interferometric-Like Array Design at Low SNR
Borne Barankin vs Borne Cramér-Rao pour la géométrie de réseaux d'antennes en radioastronomie
Filtre de Kalman à base de matrices de covariance empiriques : application à l'imagerie dynamique en radioastronomie
Imagerie radio-interférométrique robuste par dépliement neuronal
Electronic beam steering using a reconfigurable metasurface
ROBUST AND GLOBALLY SPARSE PCA VIA MAJORIZATION-MINIMIZATION AND VARIABLE SPLITTING
Robust estimation with missing values for elliptical distributions
A Robust EM Algorithm for Radio Interferometric Imaging in The Presence of Outliers
CentraleSupélec,
3, rue Joliot Curie,
91190 Gif-sur-Yvette
Supporting institutes
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