معرفی
Dr. Saïd Moussaoui is a Professor in the Department of Automation and Robotics at École Centrale de Nantes, affiliated with the Nantes Digital Sciences Laboratory (LS2N) and the Signal, Image and Sound research team. His work spans machine learning, medical imaging, and signal processing, with a focus on EEG-based mental workload classification, PET reconstruction, and 4D Flow MRI optimization.
- Research Areas: Signal Processing, Medical Imaging, Machine Learning, Neuroscience, Biomedical Engineering
- Labs/Teams: LS2N Laboratory, Signal, Image and Sound Team
Recent publications highlight trends in graph learning for EEG analysis, deep learning regularization in PET imaging, and super-resolution techniques in cardiovascular MRI. His research integrates physics-based models with data-driven approaches for applications in healthcare and industrial predictive maintenance.
The LS2N laboratory provides a multidisciplinary environment for his work, combining advanced computational methods with real-world applications in biomedical engineering and robotics. Collaborations with institutions like IEEE and projects on digital twins underscore his technical leadership in applied research.
