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Yris Brice PIUGIE WANDJI

Caen

En résumé

Research engineer with proven experience working in higher education institutions and public institutions. Experience in the use of predictive modeling, data mining algorithms to solve complex and sometimes ill-defined problems; experience in statistical and numerical data analysis using Machine Learning, Deep Learning algorithms.... The data are from 3D/4D imagery.

Involved in the open-source communities C, C++, Matlab, R, Python, I am passionate about reinforcement learning, and in the transmission of multi-channel digital data by several multiplexing techniques (DS-CDMA, OFDMA...) in telecommunications.

Holder of two masters, one of which is a "Master specialized in SystEm and Automatic Image Signal" from the "ISTIC UFR Informatique & Électronique | Université de Rennes 1"  and a "Master in Electronics" on the other hand.

Mes compétences :
LinkedIn
eLearning
3D
4th Dimension
Adobe Photoshop
Android
Artificial Intelligence
Bash Shell
Big Data
BlueTooth Technology
C Programming Language
C++
Cascading Style Sheets
Computer Graphics
DSP
Deep Learning
HTML
Image Processing
Information Technology
JavaScript
Linux
Linux Fedora
Machine Learning
Matlab
Microsoft Office
Node.js
NumPy
OFDM
OpenCV
PSPICE
Pascal
PyCharm
Python Programming
R-SAS-VHDL-Proteus
SQL
Ubuntu

Entreprises

  • Université De Caen Basse-normandie - Ingénieur d'Etudes

    Caen 2019 - maintenant Data Scientist
  • Inria - Intern

    Le Chesnay 2019 - 2019 - Data analyst of 3D/4D images
    - Identification of MRI brain imaging biomarkers
  • Université De Dschang - Monitor

    2018 - 2018 Practical work monitor at the Laboratory of Condensed Matter, Electronics and Signal Processing (LAMACETS)

Formations

  • Université Rennes 1

    Rennes 2018 - 2019 Master 2

    EEEA : Electronics, Electrical Energy and Automatic
  • ISTIC Informatique Et Electronique/ Rennes 1

    Rennes 2018 - 2019 Obtenu

    Detection & Estimation – NLP – CAO – Optimization – Robotic Process Automation – Kalman & Markov Filter – Signal & Image Processing – Big Data – Non-linear dynamic system – Modelisation of System – Telecommunication – Chaotic system – Diffusion – ICA DSP – OFDM – Robotic vision – Bluetooth – AI – Machine Learning – Deep Learning – CNN
  • Université De Dschang (Dschang)

    Dschang 2015 - 2017 Masters Degree

    EEA : Electronics Electrical Engineering & Automatic
    Topic: Simultaneous and secure transmission of multi-channel physiological signals by chaotic DS-CDMA multiplexing
  • Université De Dschang (Dschang)

    Dschang 2012 - 2015 Bachelor Degree

    Bachelor degree obtained
    Option: Electronics Electrical Engineering and automatic

Réseau

Annuaire des membres :