Experts in:

Modelling and simulation

  • Mechanical or structural.
  • Thermal or Thermodynamic.
  • Electronic and/or electromagnetic.
  • Epidemiology.
  • Lithium batteries.
  • Fluids: gases, liquids.
  • Environmental.
  • Multiphysical phenomena.
  • Oil slicks.
  • Health systems.

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.
  • Risk and financial analysis.
  • Biostatistics, epidemiology.
  • Applications in the field of health.
  • Control of production, processes and stocks.
  • Statistical applications for industry or public administrations.
  • Natural disasters.
  • Forest fires.


  • Product optimization.
  • Process optimization.
  • Stock optimization.
  • Resource optimization.
  • Optimization in the location of resources.
  • Transport route planning.
  • Work planning.
  • Optimal decision support.
  • Optimization of industrial and business processes.
  • Logistics.

Artificial Intelligence

  • Automatic learning.
  • Neural networks.
  • Bayesian networks.
  • Deep learning.
  • Machine learning.
  • Hybrid models based on data and physics.
  • Expert systems.
  • Decision support systems.


  • Programming in scientific languages: Fortran, C, C++, Python, 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.
  • Distributed computing.
  • Data modelling / Databases.

Areas of experience:

Challenge 1: Health

  • Modelling the evolution and spread of epidemics.
  • Learning models using medical-health databases.
  • Simulation of health systems.

Challenge 3: Energy

  • Forecasting and planning of energy production for domestic or industrial uses.
  • Generation of scenarios of the uncertainty of demand for the various types of energy for domestic and industrial uses.
  • Optimisation of the location of renewable energy sources (wind, solar and photovoltaic, …).
  • Optimisation of maintenance planning for electricity generators.
  • Numerical simulation of heat transfer and combustion processes.
  • Numerical simulation of thermoelectric, thermomagnetic and thermomechanical processes.
  • Decision-making support in energy processes.
  • Modelling of lithium batteries.
  • Development of environmental impact indices in energy production.

Challenge 5: Environment

  • Simulation, prediction and control of pollutant emissions.
  • Simulation, optimization and control of production and distribution processes.
  • Integral optimization of product and goods supply chains.
  • Development of systems to help prevent, control and extinguish fires.
  • Optimization of the planning of the use of resources in emergencies.
  • Optimization of action in emergencies.
  • Simulation, prediction and impact of natural disasters such as floods and earthquakes.
  • Simulation and prediction of water quality.
  • Generation of disaster scenarios (quantitative and spatial).
  • Optimization of evacuation routes and fleets.
  • Humanitarian logistics.

Success stories:

Environmental assessment of suppliers

With EDP- Renewables

Oil spill risk analysis study

With company CSIPA (México)

Decision modelling and data science in the restaurant industry

With company MAPAL Software S.L

Design and development of a research project aimed at developing in vitro and in vivo tools for the evaluation of clostridial vaccines.

With company Laboratorios Syva S.A.


European Commission H2020, Acción H2020-MSCA-RISE-2015, Project Number: 691161

Más noticias

Contacta con nosotros

Cuéntanos tus proyectos o necesidades y buscaremos formas de colaborar

Consulta gratuita
(+34) 881 813 223