Mes compétences :
Signal and image processing
Deep learning
Entreprises
Conservatoire National Des Arts Et Métiers
- Deep learning PhD Student at CNAM / EDF R&D
Paris2018 - maintenantDeep learning for spatio-temporal process forecasting: application to solar energy
EDF R&D
- Research engineer
CLAMART2013 - maintenantPRISME department, Signal and Image Processing research team
Development of deep learning/machine learning and signal/image processing algorithms for various use cases in energy. Examples:
- Reinforcement learning for nuclear plants optimal planning
- Deep learning on street view images for house characterisation
- Photovoltaic cell assessment by inverse models and hyperspectral image processing
- Non Destructive Control of steam generator tubes with deep learning methods on Foucault's currents signals
EDF R&D
- Research intern - signal and image processing
CLAMART2013 - 2013Image restauration, segmentation and classification for estimating fouling rates of steam generator tubes in nuclear power plants.
Paper at IEEE International Conference on Image Processing (ICIP) 2014:
"A Scanning Electron Microscope image segmentation method for steam generator fouling rate estimation"
Safety Line
- Intern - computer science and databases
2012 - 2012Software programming for risk management in aaronautics
