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Hi. I'm Lilian

Get to know me

@lhunout

đź“ŤParis

MVA @ ENS Paris-Saclay

What did I study?

ENS Paris-Saclay

MSc in Mathematics, Vision, Learning (MVA)

Sep. 2023 ‑ Current

  • World’s leading university in mathematics (ARWU)
  • Courses (1st semester):
    • Advanced learning for text and graph data (M.VAZIRGIANNIS)
    • Convex optimization and applications in machine learning (A. D’ASPREMONT)
    • Geometric data analysis (J. FEYDY)
    • Introduction to probabilistic graphical models and deep generative models (P. LATOUCHE, P.A. MATTEI)
    • Learning for time series (L. OUDRE)
    • Object recognition and computer vision (G. VAROL, I. LAPTEV, J. PONCE)
  • Courses (2nd semester): to be coming...
  • Student representative

INSA Centre Val de Loire

MEng in Industrial Systems

Sep. 2018 ‑ Sep. 2023

  • Courses: statistical theory and methods, machine learning, computer vision, complex systems engineering, risk management (GPA: 4.0)
  • Student representative, active participation in various events (student council campaign, open days, etc.)

University of Tours

MSc in Fundamental Physics and Applications

Sep. 2022 ‑ Sep. 2023

  • Courses: automatics, robotics, cyber‑physical system, multiphysics modelling

TalTech

School of Information Technologies (Erasmus+ exchange)

Sep. 2021 ‑ Jan. 2022

  • Courses: data mining, machine learning, system programming, embedded systems (GPA: 3.7)

What did I do?

Eviden

AI & Computer Vision Research Intern

Feb. 2023 ‑ Aug. 2023

  • Big Data & Security division, European project PREVENT PCP
  • Detection of abandoned luggage in video streams to improve station safety and limit false alerts. Keywords: object detection, tracking, pose estimation, re‑identification
  • Implementation of score‑based object/owner association algorithms.

MBDA

Embedded AI Intern

Apr. 2022 ‑ Sep. 2022

  • Implementation of communication protocols, creation of an embedded Linux image on a Xilinx Zynq card, setting up a Vitis AI Docker environment, development of an image classification model.

What do I know?

Python
R
MATLAB (Simulink)
SQL
Keras
Tensorflow
PyTorch
OpenCV
Pandas
NumPy
Scikit‑learn
Matplolib
ggplot2
Shell
Windows
Linux
Linux Tools
CUDA
Docker
Slurm
LaTeX
Markdown
Jupyter
Git

What have I experimented with?

PRISME Laboratory

Research project for medical applications

Feb. 2022 ‑ Apr. 2022

  • Detection and tracking of micro‑scale magnetic robots on an ultrasound dataset. Keywords: YOLOv5, ECO tracker

TalTech Embedded AI Research Lab

End of semester project

Nov. 2021 ‑ Jan. 2022

  • Garage door cycle detection model from accelerometric dataset on an STM32 board with X‑CUBE‑AI. First prize 250€
  • © 2023. LHunout.