Non-Academic

Experts in:

Modeling and simulation

  • Thermal or thermodynamics.
  • Fluids: gases, liquids.
  • Chemical kinetics.
  • Multiphysical phenomena.

Statistics and Big Data

  • Statistical advice and data analysis.
  • Time series forecasting.
  • Production of maps from spatial data.
  • Environmental and energy statistics.
  • Customer, market and product studies.
  • Design of experiments, clinical trials.
  • Quality and reliability control.
  • Statistical applications for industry or public administrations.

Optimization

  • Process optimization.
  • Stock optimization.
  • Product optimization.
  • Optimization in the location of resources.
  • Optimal decision support.
  • Optimization of industrial and business processes.

Artificial intelligence

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

Computing

  • Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
  • Development of software packages.
  • Development of graphic interfaces.
  • Parallelisation of algorithms.
  • Use of commercial software packages.
  • Use of free software packages.
  • Programming on GPUs.
  • Data modelling / Databases.

Areas of experience:

Challenge 3: Energy

  • Forecasting and planning of energy production for domestic or industrial uses.
  • Generation of demand uncertainty scenarios for various types of energy for domestic and industrial use.
  • Optimization of the planning of the expansion capacity of energy generating elements and their transmission.
  • Optimization of the location of renewable sources (wind, solar, photovoltaic,…).
  • Optimization of electricity generation in industrial and residential buildings for self-consumption and its connection to the distribution network.
  • Optimization of maintenance planning for electricity generators.
  • Optimization of energy distribution networks.
  • Numerical simulation of thermoelectric, thermomagnetic and thermomechanical processes.
  • Decision-making support in energy processes.

Challenge 5: Environment

  • Simulation, optimization and control of production and distribution processes.

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