Experience

Spare Parts 3D

• France
• Software Development
• 1 - 100 Employee

• Research Engineer

  • Mar 2022 - Present

  Design and develop industry-leading algorithms for 3D printable model reconstruction from classical 2D engineering drawings. Design and develop industry-leading algorithms for 3D printable model reconstruction from classical 2D engineering drawings.



INRAE

• France
• Research Services
• 700 & Above Employee

• Research Engineer

  • Oct 2017 - Dec 2021

  Design and develop cutting-edge algorithms for flow visualization through tracking 3D small particles injected in air/water captured on stereoscopic cameras. Collaborate with engineers on manipulating datasets, developing benchmarks validating novel algorithms, and deploying final products on the users' end. Projects created/Final products: Kernelized Lagrangian Particle Tracking (KLPT): 2018-2020, developed and implemented kernel-based machine learning methods to track 3D particles. Results: Created a modern C++ library: Particle Tracking Library that contains the implementation of KLPT. KLPT outperformed the widely used industrial approach as validated by the 1st LPT Data Challenge. Results published in top academic journal. Lagrangian Particle Image Velocimetry (LAPIV), 2019-2021, developed and implemented unsupervised learning algorithm for estimating flow from multi-view particle images. Results: Transferred to industry via SATT Ouest Valorisation (both code and algorithm). Deep Particle Tracking: 2020-ongoing, applied deep learning technique to build particle tracking system. Results: Produced 3D particle datasets for benchmark and increased accuracy in tracking by tailoring the original DNN to our specific problematic. Lagrangian Coherent Tracking, 2019-2021, guided a PhD in developing of tracking algorithm based on coherence-feature detection. Results: Able to follow the most realistic trajectory under physical constraints. Results published in top academic journal. Show less



ENSEEIHT/Cerfacs

• Postdoctoral Researcher

  • Sep 2015 - Apr 2017

  This work aims at devising and implementing new ensemble techniques for NEMOVAR system. In particularly it investigates the objective filtering of ensemble and the ensemble regeneration methods. This work aims at devising and implementing new ensemble techniques for NEMOVAR system. In particularly it investigates the objective filtering of ensemble and the ensemble regeneration methods.



INRIA

• France
• Research Services
• 700 & Above Employee

• PHD Researcher

  • Nov 2011 - Apr 2015

  My topics is to investigate satellite image data assimilation methods dedicated to oceanography system. Within this context, I am interested in ensemble-based variational assimilation scheme and stochastic fluid motion modeling and estimation. My topics is to investigate satellite image data assimilation methods dedicated to oceanography system. Within this context, I am interested in ensemble-based variational assimilation scheme and stochastic fluid motion modeling and estimation.


IFREMER
• Research Services
• 700 & Above Employee
• Internship

  • Apr 2011 - Sep 2011