Prof. Mohammed Nabil EL KORSO | signal processing | Best Researcher Award
Professor at Paris Saclay University, France
Dr. Mohammed Nabil EL KORSO is a distinguished professor at Paris-Saclay University, contributing extensively to the fields of statistical learning and signal processing. With a career marked by groundbreaking research and exceptional academic leadership, he has over 130 peer-reviewed scientific publications and numerous accolades, including the French National Prize for Excellence in Scientific Research. Dr. EL KORSO’s expertise spans a range of applications, including radar systems, radio astronomy, and spectral analysis, making him a leading figure in his domain.
Profile
Education 🎓
Dr. EL KORSO holds an HDR (Habilitation à Diriger des Recherches) in Statistical Signal Processing from Paris Nanterre University (2018) and a Ph.D. in Signal Processing from Paris-Saclay University (2011). He earned his Master of Science in Signal and Image Processing from CentraleSupélec, Paris-Sud University (2008), setting the foundation for his illustrious career.
Experience 💼
Dr. EL KORSO currently serves as a Professor at Paris-Saclay University (2022–present), where he leads research in advanced signal processing. Previously, he was an Associate Professor at Paris Nanterre University (2013–2022) and a Temporary Assistant Professor at École Normale Supérieure de Cachan (2012–2013). His global experience includes a role as a Research Fellow at Technische Universität Darmstadt, Germany (2011–2012). He has also supervised numerous Ph.D. students, postdocs, and master’s students, nurturing the next generation of researchers.
Research Interests 🔬
Dr. EL KORSO’s research interests focus on:
- Statistical Learning: Including probabilistic PCA, regression, and inference.
- Statistical Signal Processing: Detection, estimation, and adaptive methods.
- Applications: Radar (MIMO, STAP, SAR), radio astronomy, source localization, and spectral analysis.
His work applies cutting-edge techniques to tackle complex problems in radio astronomy, radar systems, and more.
Awards 🏆
Dr. EL KORSO’s achievements are recognized by prestigious honors:
- French National Prize for Excellence in Scientific Research (PEDR) (since 2017)
- EURASIP 3MT Award (2018)
- Ph.D. Thesis Award from Paris-Saclay University (2018)
These awards reflect his outstanding contributions to signal processing and statistical learning.
Publications 📚
Dr. EL KORSO has authored over 130 peer-reviewed scientific papers, including 50 journal articles in IEEE and Elsevier. Some notable publications include:
“Kalman filter for dynamic source power and steering vector estimation based on empirical covariances”
- Year: 2025
- Citations: 0
“Kalman filter for radio source power and direction of arrival estimation”
- Year: 2024
- Citations: 3
“Regularized maximum likelihood estimation for radio interferometric imaging in the presence of radiofrequency interferences”
- Year: 2024
- Citations: 3
“Programmable Meta-Reflector for Multiple Tasks in Intelligent Connected Environments”
- Year: 2024
- Citations: 6
“A comparison of antenna placement criteria based on the Cramér–Rao and Barankin bounds for radio interferometer arrays”
- Year: 2024
- Citations: 3
“Low-rank EM-based imaging for large-scale switched interferometric arrays”
- Year: 2024
- Citations: 0
“Unrolled Expectation Maximization for Sparse Radio Interferometric Imaging”
- Year: 2024 (Conference Paper)
- Citations: 0
“Reflective Intelligent Metasurface for Automatic Tracking of Mobile Targets”
- Year: 2024 (Conference Paper)
- Citations: 0
“RFI-Aware and Low-Cost Maximum Likelihood Imaging for High-Sensitivity Radio Telescopes”
- Year: 2024
- Citations: 0
“Sequential Phase Linking: Progressive Integration of SAR Images for Operational Phase Estimation”
- Year: 2024 (Conference Paper)
- Citations: 0
Conclusion 🎯
Dr. Mohammed Nabil EL KORSO is an outstanding candidate for the Best Researcher Award. His extensive academic and research achievements, leadership in high-impact projects, and commitment to advancing statistical signal processing and related areas make him highly deserving of this recognition. Addressing minor gaps, such as industry collaborations and public engagement, could further elevate his already remarkable profile.