Experts in:

Modeling and simulation

  • Mechanical or Structural.
  • Thermodynamic or Thermodynamic terms.
  • Manufacturing processes: injection, stamping, forging, additive manufacturing, etc.
  • Electronic and/or electromagnetic.
  • Fluid: gases, liquids.
  • Fluid-structure interaction.
  • Acoustic or Vibroacoustic.
  • Chemical kinetics.
  • Combustion.
  • Environmental.
  • Multiphysical phenomena.
  • Valuation of financial products and their risks, portfolio management.

Statistics and Big Data

  • Statistical advice and data analysis.
  • Time series forecasting.
  • Production of maps from spatial data.
  • Environmental and energy statistics.
  • Tourism statistics.
  • Customer, market and product studies.
  • Risk and financial analysis.
  • Design of experiments, clinical trials.
  • Biostatistics, epidemiology.
  • Applications in the field of health.
  • Quality control and reliability.
  • Production, process and stock control.
  • Statistical applications for industry or public administrations.


  • Products optimization.
  • Optimization of processes.
  • Stocks optimization.
  • Resources optimization.
  • Optimization in the location of resources.
  • Planning of transport routes.
  • Work planning.
  • Support for optimal decision-making.
  • Optimization of industrial and business processes.

Artificial intelligence

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


  • Programming in scientific languages: Fortran, C, C++, Python, Matlab, R.
  • Development of software packages.
  • Development of graphic interfaces.
  • Implementation of commercial and free software packages.
  • Parallelization of algorithms.
  • Use of commercial software packages.
  • Use of free software packages.
  • High performance computing.

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).
  • Evolution of demographic rates. Population projections and generation of scenario trees over a time horizon.
  • Characterisation of population habits. Simulation of user flow by services.
  • Optimization of the distribution of health resources, both human and material, in emergency situations.

Challenge 3: Energy

  • Prediction and planning of energy production for domestic or industrial uses.
  • Generation of scenarios of the uncertainty of the demand for the various types of energy for domestic and industrial uses.
  • 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 electric power generators.
  • Optimization of power distribution networks.
  • Numerical simulation of heat transfer processes and combustion processes.
  • Numerical simulation of thermoelectric, thermomagnetic and thermomechanical processes.
  • Support for optimal decision-making in energy processes.

Challenge 5: Environment

  • Simulation, prediction and control of polluting emissions.
  • Simulation, optimization and control of production and distribution processes.
  • Comprehensive optimization of product and goods supply chains.
  • Modeling and simulation of forest fires.
  • Development of support systems for the prevention, control and extinction of fires.
  • Optimization of the planning of the use of emergency resources.
  • Optimization of action in emergencies.
  • Simulation, prediction and impact of natural disasters such as floods and earthquakes.
  • Simulation and prediction of water quality.
  • Optimization of the sustainable planning of the exploitation of hydrographic basins for industrial purposes.
  • Optimization of the planning of sustainable forest exploitation.

Use cases:

iAuditoria. Validation of weighing, pattern development and predictive models in audits

Analysis, design and implementation of adequate statistical methodology to respond to the improvement requirements of the ICT (Information and Communication Technologies) tool developed by the iAuditoria company in the performing of audits and / or inspections.

The result improved the efficiency of the ICT tool for inspections and / or audits, which facilitates decision making. Once an inspection and / or audit has been carried out, the application allows the generation of reports that, in addition to multimedia content, can include statistical results that allow iAuditoria clients to detect opportunities of improvement and anticipate possible risk situations.

More information.

GANESO. Simulation and optimization of gas networks

Research and development on the integrated and optimal management of natural gas transmission infrastructures.

GANESO allows to study the use of current infrastructures, optimize them and assess the investment in future infrastructures, enabling, in this sense, users to make decisions regarding management and expansion of gas transportation networks.

The software helps when making strategic decisions for the company, which reduces cost and time.

In addition, it is competitive with existing commercial tools and it presents a great advantage for the Company: control over future developments and the possibility to incorporate new features on demand.

More information.

ENJAMBRE: Critical emergency missions with manned and unmanned aerial vehicles

Development of intelligent systems to provide an advanced route control, allowing cooperative operations between manned aircrafts and RPAS (observational operations), helping to characterize the territory and making the unload operations during fights against forest fires more efficient.

The results contributed to increase the security of the brigades; improve the coordination in the extinction operations extend the time zone of action; and to introduce new aerial resources in the fight against major forest fires.

Watermark of the discharges made by five aircraft that participated in the extinction of a fire.

More information.

TEINEXT. Numerical simulation of induction hardening of ferromagnetic parts

Mathematical modeling and numerical simulation of the thermo-electromagnetic-metallurgical behavior of an inductor-part system during the heating stage.

Development of a free software tool that allows the numerical simulation of the process improving the performance and reliability of the system while reducing costs.

The numerical simulation will allow the company to improve the current design of the inductors and to evaluate new proposals with significant savings in costs and production time.

More information.

European Industrial Doctorate ROMSOC

Reduced order models, simulation and optimisation of coupled systems.

This is an industrial doctorate in the framework of the H2020 Marie Sklodoska-Curie programme, specifically in the topic “H2020-MSCA-ITN-2017 Innovative Training Networks” and in a specific action type for European Industrial Doctorates (EID).

ROMSOC was coordinated by Dr. Volker Mehrmann from the Matheon Research Centre of the Technical University of Berlin and involved a partnership of 12 European research centres (Germany, Austria, Spain, France and Italy) and 12 companies.

USC researchers participated, as researchers affiliated to ITMATI, in the direction of two industrial theses in collaboration with the Italian research centre SISSA. The companies involved were the Spanish company Arcelor Mittal and the Italian company Danieli.

More information.

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