Experts in:

Modeling and simulation

  • Fluids: gases, liquids.
  • Fluid-structure interaction.
  • Combustion.
  • Multiphysical phenomena.
  • Thermal or thermodynamic.
  • Mechanical or structural.
  • Environmental.
  • Acoustic or Vibroacoustic.
  • Chemical kinetics.

Statistics and Big Data

  • Time series forecasting .
  • Statistical advice and data analysis.
  • Design of experiments, clinical trials.
  • Production, process and stock control.
  • Environmental and energy statistics.
  • Statistical applications for industry or public administrations.
  • Quality and reliability control.
  • Biostatistics, epidemiology.


  • Process optimisation.
  • Optimization of industrial and business processes.
  • Transport route planning.
  • Work planning.
  • Product optimisation.
  • Optimal decision support.

Artificial intelligence

  • Automatic learning.
  • Neural networks.
  • Bayesian networks.
  • Deep learning.
  • Machine learning.
  • Hybrid models based on data and physics.
  • Development of digital twins.


  • Programming in scientific languages: Fortran, C, C++, Pyton, Matlab, R.
  • Development of software packages.
  • Development of graphical interfaces.
  • Implementation of commercial and free software packages.
  • Parallelisation of algorithms.
  • Use of commercial software packages.
  • Use of free software packages.
  • GPU programming.
  • Distributed computing.
  • High-performance computing
  • Configurable hardware.
  • WEB applications / technologies.
  • Data modelling / databases.

Areas of experience:

Challenge 1: Health

  • Visualisation, processing and analysis of medical images. Characterisation of false positives. Learning models using large databases (machine/deep learning).

Challenge 3: Energy

  • Numerical simulation of heat transfer and combustion processes.
  • Numerical simulation of thermoelectric, thermomagnetic and thermomechanical processes.
  • Decision support in energy processes.
  • Optimization of the location of renewable energy sources (wind, solar and photovoltaic, …).
  • Optimization of the planning of the expansion capacity of energy generating elements and their transmission.

Challenge 5: Environment

  • Simulation, prediction and control of pollutant emissions.
  • Simulation, optimization and control of production and distribution processes.
  • Modelling and simulation of forest fires.
  • Simulation and prediction of water quality.
  • Simulation, prediction and impact of natural disasters such as floods and earthquakes.

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