About
I am an Associate Professor (Maître de Conférences) at ENIB (École Nationale d'Ingénieurs de Brest) and a member of the Lab-STICC laboratory (UMR CNRS 6285). I received my Ph.D. in Signal Processing from the Université de Bretagne Occidentale in 2008, with a thesis on blind recognition of MIMO communication signals. In 2020, I obtained my Habilitation à Diriger des Recherches (HDR) from the same university.
My research focuses on developing advanced parametric signal processing techniques with applications spanning multiple domains. In the early stages of my career, I worked on blind signal recognition for MIMO wireless communications. I then expanded my research to condition monitoring and fault diagnosis in electrical machines, particularly for wind turbine generators, using stator current analysis and time-frequency methods.
More recently, my work has shifted toward coherent optical communications, where I develop machine learning and parametric approaches for channel estimation, impairment compensation, and symbol detection. I am particularly interested in physics-informed neural networks that leverage domain knowledge for improved performance.
Research Interests
- Parametric Signal Processing and Spectral Estimation
- Coherent Optical Communications
- Machine Learning for Physical Layer Communications
- Condition Monitoring and Fault Diagnosis
- Three-Phase Systems and Smart Grid Applications
- Embedded Systems for Signal Processing
Contact
Email: vincent.choqueuse@enib.fr