Experts in:

Modelling and simulation

  • Mechanical or structural.
  • Terms o Thermodynamics.
  • Manufacturing processes: injection moulding, stamping, forging, additive manufacturing, etc.
  • Electronic and/or electromagnetic.
  • Fluids: gases, liquids.
  • Fluid-structure interaction.
  • Acoustic o Vibroacoustics.
  • Chemical Kinetics.
  • Combustion.
  • Environmental.
  • Multiphysics phenomena.
  • Valuation of financial products and their risks, portfolio management.
  • Others.

Statistics and Big Data

  • Statistical advice and data analysis.
  • Time series prediction.
  • Mapping from spatial data.
  • Environment and energy statistics.
  • Tourism statistics.
  • Customer, market and product research.
  • Design of experiments, clinical trials.
  • Biostatistics, epidemiology.
  • Health applications.
  • Quality control and reliability.
  • Production, process and stock control.
  • Statistical applications for industry or public administrations.


  • Process optimization.
  • Stock optimization.
  • Resource optimization.
  • Transport route planning.
  • Support for optimal decision making.

Artificial Intelligence

  • Automatic learning.
  • Neural networks.
  • Bayesian networks.
  • Deep learning.
  • Natural language processing.
  • Image processing.
  • Multimedia signal processing.
  • Machine learning.
  • Development of digital twins.
  • Smart access networks.
  • Smart services (health, education, government,…).


  • 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 open source packages.
  • Programming on GPUs.
  • Distributed computing.
  • High performance computing.
  • Hardware configurable.
  • WEB applications / technologies.
  • Data modelling / databases.
  • Quantum computing.
  • Computación en la nube/de niebla/de borde.
  • Quantum cryptography.
  • Cybersecurity.

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).
  • Characterisation of habits in the population. Simulation of the flow of users by services.
  • Optimising the planning of the location of primary health care facilities in environments uncertain of the evolution of demographic rates over a time horizon.
  • Optimisation of health procurement planning in environments uncertain of the evolution of demographic rates and types and intensity of diseases and epidemics over a time horizon.
  • Optimisation of ambulance fleet types: Sizing and location in an uncertain service demand environment.
  • Optimising the distribution of health resources, both human and material, in emergency situations.

Challenge 3: Energy

  • Optimisation of electricity generation in industrial and residential buildings for self-consumption and its connection to the distribution grid.
  • Optimisation of energy distribution networks.
  • Numerical simulation of heat transfer and combustion processes.
  • Numerical simulation of thermoelectric, thermomagnetic and thermomechanical processes.
  • Decision support in energy processes.

Challenge 5: Environment

  • Simulation, prediction and control of pollutant emissions.
  • Simulation, optimisation and control of production and distribution processes.
  • Integral optimisation of product and goods supply chains.
  • Development of systems to help prevent, control and extinguish fires.
  • Optimising the planning of emergency resource use.
  • Optimising emergency action.
  • Simulation, prediction and impact of natural disasters such as floods and earthquakes.
  • Simulation and prediction of water quality.
  • Optimisation of irrigation planning for agricultural and livestock purposes.
  • High-dimensional phenotypic data.
  • Cryospheric sciences.
  • Traceability of waste and raw materials.
  • Remote sensing systems for resource optimisation.
  • AI applied to the optimisation of natural resources.

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