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possoj/README.md

Julien Posso

Postdoctoral Researcher at ONERA (The French Aerospace Lab), Toulouse, France.

My research focuses on embedded artificial intelligence, robust deep learning, and AI-hardware co-design for constrained and safety-critical systems. I currently work on the design and certifiable FPGA deployment of lightweight neural networks on programmable logic.

I received my Ph.D. in Computer Engineering from Polytechnique Montréal, where I worked on neural-network-based spacecraft pose estimation, from single-image estimation to temporally consistent video processing, as well as real-time deployment on CPU, GPU, and FPGA platforms.

Research interests

  • Embedded AI
  • AI-hardware co-design
  • Robust and reliable deep learning
  • FPGA acceleration
  • Real-time inference on constrained platforms
  • Visual perception for aerospace and intelligent mobility

Selected projects

Academic Profiles

Contact

  • julien.posso [at] gmail [dot] com

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  1. Mobile-URSONet Mobile-URSONet Public

    An embeddable neural network for 6D Spacecract Pose Estimation

    Python 16 1

  2. FPGA-SpacePose FPGA-SpacePose Public

    Real-Time CNN-Based Spacecraft Pose Estimation on FPGA

    Python 7

  3. Spacecraft-Pose-Estimation-Framework Spacecraft-Pose-Estimation-Framework Public

    A framework for spacecraft pose estimation with deep learning on embedded platforms

    Python 3 1