I participated to some interesting projects of engineering, using advanced scientific and technical skills.
2011-2019 : Scientific consultant (SCORE : Scientific Consulting for Research & Engineering, Strasbourg, France) :
PSA Peugeot Citröen (Centre d’Essais de Belchamp) :
Development of Set Inversion Methods for engine adjustements in Python, Ruby and MATLAB/SIMULINK.
Big data analysis of adjustements/performances for vehicles engines.
Measurements analysis of vehicles tires’ data and development of predictive multi-physics models in Python and Ruby (Evolutionnary Programming, Symbolic Regression).
Data Analysis of ESP (Electronic Security Program) behavior in a SIL (Software In the Loop) process.
University of Haute-Alsace (ENSISA), Mulhouse, & Michelin & Messier-Bugatti :
Model Classification of A380 aircraft tires mechanical behavior with mean of Artificial Intelligence (Machine Learning methods) with Rstudio, SCILAB, and MATLAB.
Geothermal Station of Soultz-sous-Forêt, France : Modeling and simulation of Rankine-Hugoniot thermodynamical cycles with MATLAB/SIMULINK.
Multiphysics modeling of the geothermal station with VHDL-AMS.
Electricity of France (EDF R&D), Clamart : Optimization of coupling of nuclear, thermal (coal), fuel, and hydroelectric plants with mean of Set Inversion Methods implemented for parallel computing with Ruby.
PSA Peugeot Citröen (Centre d’Essais de Belchamp) : Big data analysis and model classification of relevant parameters of engine adjustments with Python Statistical and Machine Learning libraries.
Development of Artificial Neural Network in C++ for prediction of fuel consuming according thermodynamical variables.
Modeling and simulations of engine behavior in order to study polluting gas production with mean of Symbolic Regression via Genetic Programming (SRvGP) and Probabilist Set Inversion methods (PSI). Development in Ruby of a parallel computing library (MPI-like).
2004 : Renault Trucks-Volvo R&D (Saint-Priest, Lyon) : Development of a brake system virtual model for a truck with MATLAB/SIMULINK.
2003 : PSA Peugeot-Citroën (Centre d’Essais de Belchamp) :
Parameters identification of an hydraulic model of breaking system (ESP) by optimization and automatic differentiation.
2002 : PSA Peugeot-Citroën (Sochaux) :
Development in C++ of Artificial Neural Networks :Efforts prediction according to accelerations (PREFAC)
Trajectories prediction of trajectories according to accelerations (PRETRAJ)
Mass prediction according to accelerations (PREMASS)
Interfacing and integration of PREFAC, PRETRAJ and PREMASS within Signal Processing code LEXADE.