UMA

Academic

Experts in:

Modeling and simulation

  • Fluids: gases, liquids.
  • Environmental.

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.
  • Implementation of commercial and free software packages.
  • Parallelisation of algorithms.
  • Use of free software packages.
  • GPU programming.
  • Distributed computing.
  • High performance computing.
  • Data modelling / Databases.

Areas of experience:

Challenge 5: Environment

  • Simulation, prediction and control of pollutant emissions.
  • Simulation, prediction and impact of natural disasters such as floods and earthquakes.

Success stories:

PMEL/NOAA

Transfer of numerical modelling of landslide-generated tsunamis.

https://www.uma.es/edanya/info/126666/noaa-projects/

INGV Italia

IGN España

Spanish tsunami early warning system.

Activación Copernicus/INDRA/Junta de Andalucía

Tsunami Hazard Maps for Andalusia

https://www.uma.es/edanya/info/126642/copernicus/

Aristotle project

Tsunami Service for the ERCC (European Civil Protection Mechanism)

https://www.uma.es/edanya/info/126398/aristotle/

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