Experience

• 

  Sogetrel

  Jun 2018 - Aug 2018

  Activity management operator

  - Establishment and monitoring of technicians' reports following interventions on the Orange network.- Links between customers, technicians and operators.

• 

  École de technologie supérieure (éts)

  Jun 2019 - Sept 2019

  Research intern

  Research project about left ventricle segmentation in pediatric MRI for inter-ventricular communication detections. - Generative adversarial networks for left ventricle segmentation in pediatric MRI- Semi-supervised framework was used to reduce number of annotated data for training.- A new weighted cross-entropy loss using distance transform was introduced.- The new loss was used to weight more the points closer to the real boundaries. See: https://doi.org/10.1016/j.compbiomed.2020.103884Project carried out in the Interventional Imaging Lab. (LIVE). Show less

• 

  Nxp semiconductors

  Feb 2020 - Aug 2020

  Artificial intelligence and radar signal processing engineer intern

  During this internship I worked on simple algorithms for target detection and classification using FMCW radar data. Activities: radar signal processing, prior art about target detection and classification with radar data, development of deep learning models for target classification and detection

• 

  Nxp semiconductors

  Oct 2020 - Dec 2023

  Phd student

  - Creation of a deep neural network architecture for object classification using radar data (data collection, model definition, training and evaluation).- Development of a lightweight Faster R-CNN based architecture for range-doppler spectrum features extraction and object detection (adapt model to radar, training, optimization and inference)- Creation of a memory-efficient architecture based on convolutions and convolutional recurrent neural networks for single-view (range-doppler, range-angle) or multi-view (range-azimuth-doppler tensors) object detection and segmentation (model and metric definition, training, optimization and inference).- Development of a self-supervised learning framework for radar object detection using contrastive learning and generative methods (new method definition for radar, implementation, training and inference).- Work on data collection platform for automotive radar applications (system and sensors definition, data collection, data processing).- Accepted articles at IEEE IV 2022 conference and IEEE Transactions in Intelligent Transportation Systems. One other in review. See here for further details: https://colindecourt.github.io/publications/- Assistant professor in machine learning, deep learning, computer vision (classification, detection, segmentation) and computer science (C and Python programming, algorithmic). Details are available here: https://colindecourt.github.io/teaching/- Supervision of two interns (2021, 2022) and one apprentice (2021-2023). Show less

• 

  Isae-supaero

  Oct 2020 - Dec 2023

  Phd student

  - Creation of a deep neural network architecture for object classification using radar data (data collection, model definition, training and evaluation).- Development of a lightweight Faster R-CNN based architecture for range-doppler spectrum features extraction and object detection (adapt model to radar, training, optimization and inference)- Creation of a memory-efficient architecture based on convolutions and convolutional recurrent neural networks for single-view (range-doppler, range-angle) or multi-view (range-azimuth-doppler tensors) object detection and segmentation (model and metric definition, training, optimization and inference).- Development of a self-supervised learning framework for radar object detection using contrastive learning and generative methods (new method definition for radar, implementation, training and inference).- Work on data collection platform for automotive radar applications (system and sensors definition, data collection, data processing).- Accepted articles at IEEE IV 2022 conference and IEEE Transactions in Intelligent Transportation Systems. One other in review. See here for further details: https://colindecourt.github.io/publications/- Assistant professor in machine learning, deep learning, computer vision (classification, detection, segmentation) and computer science (C and Python programming, algorithmic). Details are available here: https://colindecourt.github.io/teaching/- Supervision of two interns (2021, 2022) and one apprentice (2021-2023). Show less

• 

  Exotec

  Sept 2024 - now

  Machine learning r&d engineer