PRESTO: high-PeRformancE Social-media crowdsensing acceleraTiOn

Welcome to PRESTO

This module is aimed at providing the underlying computing support for achieving real-time execution of our “Social Sensing as a Service” framework. As part of this goal, it is also necessary to provide efficient computing support for all the off-line processing tasks (e.g., DNN training) with the least amount of computing resources (e.g., memory capacity and processing elements) within the shortest possible time frame.

Research Team



José Luis Abellán Miguel

(Module Coordinator)

Universidad de Murcia



Baldomero Imbernón Tudela

Universidad Católica de Murcia



Antonio Llanes Castro

Universidad Católica de Murcia



Carlos Periñán-Pascual

Universitat Politècnica de València



Andrés Muñoz Ortega

Universidad de Cádiz


Agencia Estatal de Investigación

PRESTO is part of the research project "Smart multi-modal crowdsensing-based system as a service oriented to the prediction of social problems (ALLEGRO)", grant PID2020-112827GB-I00 funded by MCIN/AEI/ 10.13039/501100011033.

Contact Us

For further information, contact José Luis Abellán Miguel: