معرفی
Emanuel Radoi is a Professor in Signal Processing at the University of Brest, France, and a member of the "Information Security, Intelligence and Integrity" research team at Lab-STICC, CNRS UMR 6285. He has been an IEEE Senior Member since 2014 and served as Associate Editor for IEEE Communications Letters (2018-2021).
- M.Sc. (1997) and Ph.D. (1999) in Electronic Engineering and Signal Processing from University of Brest
- 20 book chapters and over 120 international conference/journal papers
- Specializes in UWB signal processing, full-duplex communications, spectrum sensing, time-frequency analysis, and sparse signal processing
His recent research focuses on IR-UWB radar applications for indoor localization, people counting, and collision avoidance systems, as well as full-duplex communication architectures and compressed sensing techniques. He has developed experimental USRP-based implementations for real-time signal processing and contributed to advanced sea clutter models for radar target detection.
Key publications address:
- Compressed sensing for UWB channel estimation (2016-2022)
- Self-interference cancellation in full-duplex transceivers (2020-2022)
- Machine learning integration with radar signal processing (2024)
- Cognitive radio architectures for high-speed railway applications (2014)
Scientific Contributions:
- 2014 IEEE Senior Membership
- 2018-2021 IEEE Communications Letters Associate Editor
- Best Paper Award and Exemplary Reviewer recognition
He actively participates in international conferences, chairs technical sessions, and contributes to journal special issues. His work bridges theoretical signal processing with practical implementations in wireless systems and radar technologies.
