Mohamed Amine - Data Scientist OPENCV

Ref : 200204A003
Photo de Mohamed Amine, Data Scientist OPENCV
Compétences
Expériences professionnelles
  • vBrazil / USABrazil

    Principal Consultant in an early stage startup
    Jan 2018 - aujourd'hui

    Deep learning based/lightweight face recognition mobile app for online banking authentication.

  • Winner of Dassault Systemes Innovation Forward for best research projects:

    Awards and Publications
    2017 - 2018

    2017 AI Patents:
    { (US20180077400) 3D Reconstruction of a Real Object From a Depth Map: 3d Parametric model
    regression from a single view depth map using deep learning approaches, with a special interest in
    body shapes.
    { (US20180182071) Depth Sensor Noise simulation: Simulation of any depth camera noise using deep
    learning approaches.
    2011 ******** paper: Copy Detection and Multimedia Event Detection paper, TRECVID,
    Gaithersburg, United States
    2010 Best Graduation Project Award @ Tunisia Polytechnic School

  • AI Research Manager @ Dassault Systèmes

    Corporate Research, Velizy, France.
    2015 - Jan 2018

    Mixing the power of deep machine learning with 3D computer graphics/vision. Some realisations:
    { Design and implementation of an RGB-D scene parsing component (semantic segmentation) for an indoor
    home staging application.
    { Design and implementation of a Learning-based Single-view Body Shape Regression from RGB-D data
    (Patent).
    { Design and implementation of a 3D Sensor Simulation component for RGB-D synthetic database generation
    (Patent).
    { Design and implementation of a 3D Parametric Body Model Learning component for a magic mirror
    application.
    { Design and implementation of a 3D Object Feature Learning and Indexing component for CAD search
    retrieval application.

    2012-2014 Co-founder and CTO @ SmartMeUp, Grenoble, France.
    A startup company focusing on machine learning applications and major attention in face analysis.
    Some technical missions:
    { Implementation in Python of SmartMeUp’s Machine Learning toolbox: feature extraction, data preprocessing,
    clustering, classification and regression algorithms for fast applications experimentation and results reporting.
    { Research, design and implementation of SmartMeUp’s SDK (Python, C++) for video real-time face detection
    and attributes recognition (mood, gender, age, 3d pose, ..).
    { Development of an ICAO standards checker (frontal 3d pose, neutral expression, closed mouth, open eyes,
    no hats, ..) for Photomaton company (photobooth).
    { Development of a state of the art real-time face recognition module for Netatmo IoT company.
    { Experimentation of a Deep Convolutionel Neural Networks (CNN) on GPU for large scale image classification
    (ImageNet dataset, 1.4M of images with 1000 object classes).
    { Design and implementation of a license plate detection and recognition system.

    2010-2012 AI Research Engineer @ INRIA Research Center, Grenoble, France.
    Within the Quaero european research program:
    { Implementation of a C/Python package for image classification based on Fisher Vectors and Spatial Pyramid
    (Sift, PCA, GMM, linear SVM...)
    { Design and implementation of a two modalities (Video and Audio) event detection system.
    Participation to TRECVID Media Event Detection challenge (MED’11): Experimentation on
    tens of thousands of videos using a cluster of computers, under strong time constraints (C, Python, MATLAB,
    dense trajectories, MFCC, Bag of Features(BoF), SVM..). Ranked 8/20
    { Implementation of a Human Action Recognition algorithm based on dense trajectories (C, Python, KTH
    and Hollywood2 datasets, BoF , Fisher vectors, SVM ..)
    { Experimentation and implementation of Split/Merge EM algorithm for Gaussian Mixture Model (GMM)
    training (C, Expectation-Maximization, component splitting, Kmeans...)
    { Experimentation and implementation of image clustering algorithm for image retrieval results improvement
    (C, Python, Gist, Kmeans, Kernel PCA Kmeans, Hierarchichal clustering ..)
    { Implementation of an image classification algorithm based on BoF descriptors and SVM classifier(C, Python,
    Pascal’07 database, Chi Kernel, intersection Kernel, Fisher Kernel, linear Kernel ..).

    Feb-Oct 2010 Computer Vision Research Engineer @ THALES TTS, Cergy, France.
    Real-Time 3D head pose and facial features estimation using monocular images.
    { State of the Art: Active Appearance Model, Active Contour Model, Gradient descent algorithm, Particle
    filter tracking..
    { Implementation/Experimentation in Matlab
    { C++ coding and optimization in GPU (CUDA Toolkit)

Études et formations
  • Education
    2007-2010 Engineering Studies @ Tunisia Polytechnic School (TPS), Tunis, Tunisia.
    TPS is the 1st Engineering School in Tunisia.
    General engineering studies diploma with major interest in Computer Science / Signal Processing.
    2005-2007 Engineering Preparatory School @ IPEIEM, Tunis, Tunisia.
    Two years of Engineering Studies Preparation with major course in Mathematics, followed by a national exam
    for engineering school entrance.
    Ranked honorably (national ranking): 3/1200
    2005 Baccalaureate, Tunis, Tunisia.
    Major course in Mathematics.
    Honorable results, grade: 16.87/20
    National rank: 37/17000

    Skills
    Management
    { Lean Startup Management
    { Product Management
    Machine Learning
    { Deep Learning: Classification, Semantic Segmentatin, Synthesis
    { Neural Network Architectures: CNN, GAN, ..

    Computer science
    Programming C/C++, Python, Java (Android), ..
    Libraries { Machine Learning (TensorFlow/lite, Keras, Caffe, Scikit-learn..)
    { Computer Vision/Graphics (OpenCV, PCL, GLES ..)
    Databases HDF5, Mysql
    IDE Aptana, Visual Studio, Android Studio, ..
    Platforms Linux, Windows

    Languages
    Arabic Mother Tongue
    French Native
    English Fluent

Autres compétences
Education
2007-2010 Engineering Studies @ Tunisia Polytechnic School (TPS), Tunis, Tunisia.
TPS is the 1st Engineering School in Tunisia.
General engineering studies diploma with major interest in Computer Science / Signal Processing.
2005-2007 Engineering Preparatory School @ IPEIEM, Tunis, Tunisia.
Two years of Engineering Studies Preparation with major course in Mathematics, followed by a national exam
for engineering school entrance.
Ranked honorably (national ranking): 3/1200
2005 Baccalaureate, Tunis, Tunisia.
Major course in Mathematics.
Honorable results, grade: 16.87/20
National rank: 37/17000

Skills
Management
{ Lean Startup Management
{ Product Management
Machine Learning
{ Deep Learning: Classification, Semantic Segmentatin, Synthesis
{ Neural Network Architectures: CNN, GAN, ..

Computer science
Programming C/C++, Python, Java (Android), ..
Libraries { Machine Learning (TensorFlow/lite, Keras, Caffe, Scikit-learn..)
{ Computer Vision/Graphics (OpenCV, PCL, GLES ..)
Databases HDF5, Mysql
IDE Aptana, Visual Studio, Android Studio, ..
Platforms Linux, Windows

Languages
Arabic Mother Tongue
French Native
English Fluent

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