Cookie usage policy

The website of the University Carlos III of Madrid use its own cookies and third-party cookies to improve our services by analyzing their browsing habits. By continuing navigation, we understand that it accepts our cookie policy. "Usage rules"

David Exposito Singh

Imagen de David Exposito Singh

Professor David Exposito Singh

David Expósito Singh is co-author of more than 90 journal and conference publication in the topics of: (1) Computational epidemiology, leading the EpiGraph research line, which consists of the development of an agent-based parallel simulator that performs realistic stochastic simulations of the propagation of influenza, COVID-19 and other contagious diseases. (2)   High-Performance Computing: application malleability, monitoring, modelling, and multi-criteria scheduling. (3) High performance I/O: including research lines such as improving the efficiency of parallel I/O by means of locality-aware techniques, developing I/O scheduling algorithms and exploring the use of malleability for enhancing the application I/O performance.

He has participated in more than 35 research projects and has coordinated thirteen of them. The most recent ones are:

The coordination of project Multi-source and multi-method prediction to support COVID-19 policy decision making (PredCov) (2020-2022), funded by European REACT-EU funds. This project is highly interdisciplinary, involving a consortium of six different groups specialized in computer architecture, machine-learning, statistics, telecomunications, economy, and media analysis (social sciences). 

The coordination of project Medium and Long-term Simulation of COVID-19 (2020) funded by the Instituto de Salud Carlos III and carried out in collaboration with the Spanish Epidemiology Center.

The participation in several EU-funded projects European Regimen Acceleration for Tuberculosis (ERA4TB), Exascale Programming Models for Extreme Data Processing (ASPIDE) and Adaptive Multi-tier Intelligent Data Manager for Exascale (ADMIRE).

David E. Singh is a member of the IEEE and ACM associations, as well as the HiPEAC, CABAHLA, and CAPAP-H research networks. He participates in the Ponencia de Vacunas del Consejo Interterritorial del SNS as a modelling team leader -a taskforce created by the Spanish Government for designing the COVID-19 vaccination program for Spain. 

In the area of teaching, he has supervised four PhD. thesis and taught undergraduate and postgraduate courses at Universidad Carlos III de Madrid, Universidad de A Coruña, Universidad de Santiago de Compostela, and the National School of Public Health at the Instituto de Salud Carlos III. He has received an Excellent+ Docentia rating (a total score of 92 points or higher, or 90 points or higher with all three dimensions rated as Excellent).

Webpage: https://epigraph.uc3m.es/128-2/