It has featured speeches by the secretary for Universities and Research, Francesc Xavier Grau; the rector, Francesc Torres; the chair of the Board of Trustees, Ramon Carbonell; and the general secretary of the UPC, Margarida Espona, who has presented a report on the 2019–2020 academic year at the University. The event has also be attended by the general secretary for the Interuniversity Council of Catalonia, Josep Ribas i Seix.
With the Covid19 pandemic emergency and the patient isolation needs, most medical services collapsed. Hence, the communication process between hospital and families was difficult adding an extra pain to this terrible disease.
Connecta 19 provides an effective platform (mobile app and web services) to connect hospitalize’s relatives and M.D staff. Offering an accurate and up to date information about the patient health status.
This project has been academically released as PAE (Projectes Avançats d’Enginyeria) and can be found here.
RedIRIS, the Spanish academic and research network that provides advanced communication services to the scientific community and national universities, organizes several workshops about Telecommuting experiences due to the Coronavirus home confinement.
The /rdlab will share his platforms and services to provide worldwide access for researchers.
In 2016 a method for analysing under reported data was developed by Fernández-Fontelo, Cabaña, Puig and Moriña (2016): Under-reported data analysis with INAR?hidden Markov chains, Statistics in Medicine.
The method allows an accurate estimation of the number of un-registered cases, with several applications in public health, such as the number of cases of Human Papiloma Virus, botulism and even the number of victims of domestic violence.
We are now using the same methodology, which is briefly summarized in
an upcoming report to update the situation concerning COVID-19
frequently, and particularly quantify the potential under-reporting in
the official registered cases by region in Spain.
Results herein can help to have a more realistic picture of the pandemic at a real time as well as to more accurately estimate essential measures such as the basic reproduction number or the fatality rate that are used by practitioners and policy makers to take actions. Figure below shows the situation of underreporting in Madrid Community and Catalonia as of March 25th.
The UPC Computer Science Department participates in the eHealth Eurocampus project. This initiative supports the development of innovative teaching material and activities that will improve the relevance and quality of higher education in the field of eHealth by adapting curricula to labour market needs, while providing students with skills of entrepreneurship through innovative and learner-centred methods.
Moreover, one of the main goals of the project is to create an original eHealth teaching-learning space where university professors, students, researchers, and clinicians will be able to share their experiences and knowledge with the aim of improving the skills of graduates with the aim of improving their employability.
The European project platform Erasmus+ awarded the eHealth Eurocampus project with the highest mark among all contestants on 2016. Upon project ending, presenting the final report and evaluation, the project was granted the seal of “Bonne practique”.
On 2020, the Research and Development Lab commemorates its 10th anniversary as research IT support center. As a part of this 10 years remembrance, we have renewed our corporate image and logo, designed a new website and defined a new strategy for the forthcoming years.
/rdlab “Engaged with your research” is not just an empty motto. It is our clear compromise with our researchers, with the Computer Science department and with the UPC.
The jury of 12è premi de valorització de la recerca grants a Special mention to the project Data Science Techniques for non-technical loss detection in energy consumption from professor Josep Carmona, from Process and Data Science (PADS) Group – ALBCOM.
The project, developed for Naturgy (formerly Gas Natural Fenosa) tackels the problem of non technical loss (NTL) in energy distribution (gas and electricity).
The aim of this collaboration is to develop techniques, methodologies and applications in order to change the way the enterprise faces NTL detection in gas and electricity consumption. This has meant the design and architecture of a data model, adapting techniques of academical data science to a reality of raw data, and adding techniques to allow Naturgy personnel to understand the results, simplifying and optimizing its search.
The jury has assessed it for being and project which offers a technological solution that can have a good market trajectory, scalable, monetizable, with high economical and social impact to sector enterprises, and with the possibility of a quick growth.