PROCareLife - PeRsOnalized Integrated CARE Solution for Elderly facing several short or long term conditions and enabling a better quality of LIFE

Description: The main contribution of PROCareLife consists in proposing an integrated scalable and interactive care ecosystem, which can be easily adapted to the reality of several chronic diseases, care institutions and end-user requirements, benefiting all the involved actors, from patients, to caregivers and health professionals. Its main contributions consist of:

  • building an integrated scalable and interactive care ecosystem for neurodegenerative diseases and adaptable to other chronic conditions;
  • finding the best actions/measures from a medical and social point of view that can facilitate an improved quality of life, awareness and care management for senior users suffering of neurodegenerative and/or other chronic diseases;
  • provide a personalized recommendation and interaction model, which can support the user through gamification techniques to adopt healthy habits, maintain a good daily routine and follow the prescribed actions by the professionals for maintaining and improving their health condition;
  • enable multi-disciplinary communication between all involved stakeholders, better time management for social and health professionals and contribute to achieving a costefficient, flexible and high adaptable solution for senior users suffering of short or long term conditions.

Duration: 2019 – 2021

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875221.

TeNDER - affecTive basEd iNtegrateD carE for betteR Quality of Life


With an increasingly growing population in Europe, cognitive impairments as well as heart diseases are a major social
and health issue. 1.2 million people in Europe are affected by Parkinson’s disease (PD) while Alzheimer’s disease
remains one of the biggest global public health challenges our generation is facing, while Cardiovascular disease
represented the 31% of all global deaths in 2016.
Based on these facts, the affecTive basEd iNtegrateD carE for betteR Quality of Life TeNDER project will create
an integrated care ecosystem for assisting people with chronic diseases of Alzheimer’s (AD), Parkinson’s (PD) and
comorbidity with Cardiovascular Diseases (CVD) through the use of affect based micro tools. These microservices
will recognise the mood of a person and thus adapt the system’s probes to the person’s needs via a multi-sensorial
system, even in the most severe cases, and match with clinical (from Electronic Health Records EHRs) and clerical
patient information, while preserving privacy, monitoring the ethical principles, providing data protection and security, with the result of an increased Quality of Life (QoL). In addition, interactive communication and social services will strength the elderly support, extending their autonomy and care supply chain.
TeNDER will perform 5 large scale pilots, involving 5 user partners and 1500+ TeNDER final users in 4 different
European regions, with at least 735 patients (+40% in the patients control group, making a total of 1030 patients),
85 health professionals (physicians mainly), 30 social workers, 570 caregivers (professional and relatives) and 60
other staff (clerks, Hospital IT support, etc.), to provide tailor suited integrated care services to promote wellbeing and health recovery.
TeNDER will provide 4 different scenarios according to the patients pathways (home, daycare centre, rehabilitation
centre/rooms, and hospital).

Duration: 2020 – 2022

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 875325.

5G-Mobix - 5G for cooperative & connected automated MOBIility on X-border corridors

Description: 5G-MOBIX aims at executing CCAM trials along x-border and urban corridors using 5G core technological innovations to qualify the 5G infrastructure and evaluate its benefits in the CCAM context as well as defining deployment scenarios and identifying and responding to standardisation and spectrum gaps.

5G-MOBIX will first define the critical scenarios needing advanced connectivity provided by 5G, and the required features to enable those advanced CCAM use cases. The matching between the advanced CCAM use cases and the expected benefit of 5G will be tested during trials on 5G corridors in different EU countries as well as China and Korea.
Those trials will allow running evaluation and impact assessments and defining also business impacts and cost/benefit
analysis. As a result of these evaluations and also internation consultations with the public and industry stakeholders, 5GMOBIX will propose views for new business opportunity for the 5G enabled CCAM and recommendations and options for the deployment.
Also the 5G-MOBIX finding in term of technical requirements and operational conditions will allow to actively contribute to the standardisation and spectrum allocation activities.
5G-MOBIX will evaluate several CCAM use cases, advanced thanks to 5G next generation of Mobile Networks. Among the possible scenarios to be evaluated with the 5G technologies, 5G-MOBIX has raised the potential benefit of 5G with low reliable latency communication, enhanced mobile broadband, massive machine type communication and network slicing.
Several automated mobility use cases are potential candidates to benefit and even more be enabled by the advanced
features and performance of the 5G technologies, as for instance, but limited to: cooperative overtake, highway lane
merging, truck platooning, valet parking, urban environment driving, road user detection, vehicle remote control, see through, HD map update, media & entertainment.

Duration: 2019 – 2021.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 825496.

AI4EU - An European AI On Demand Platform and Ecosystem

Description: The AI4EU project aims to mobilise European leaders in Artificial Intelligence (AI) to make available to users resources based on this technology that facilitate scientific research and innovation, analyse the needs of future research in AI and create an observatory of ethics that promotes an Artificial Intelligence centred on the human being.

Duration: 2019 – 2021.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 825619.

REBUILD - ICT-enabled integration facilitator and life rebuilding guidance

Description: The REBUILD project address immigrant integration through the provision of a toolbox of ICT-based solutions that will improve both the management procedures of the local authorities and the life quality of the migrants. The design approach is user-centered and participated: both target groups (immigrants/refugees and local public services providers) will be part of the user requirement analysis and participants in three 2-days Co-Creation workshops organized in the 3 main piloting countries: Italy, Spain and Greece, chosen also for their being the “access gates” to Europe for main immigration routes.

Duration: 2019 – 2021.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 822215.

FANDANGO - Fake News discovery and propagation form Big Data analysis and artificial inteligence operations

Description: Fake News are now a hot issue in Europe as well as worldwide, particularly referred to Political and Social Challenges that reflect in business as well as in industry. The aim of FANDANGO is to aggregate and verify different typologies of news data, media sources, social media, open data, so as to detect fake news and provide a more efficient and verified communication for all European citizens. European tradition in democracy, journalism and transparency should play a wordwide example in fast changing society, where all citizens appears completely overwhelmed by the new technologies and by the new social challenges.

Duration: 2018 – 2020.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 780355



Description: The C-Roads Platform is a joint initiative of European Member States and road operators for testing and implementing C-ITS services in light of cross-border harmonisation and interoperability.

Universidad Politécnica de Madrid takes part in the Spanish section with strategic partners such as Abertis and SEOPAN.

Duration: 2017 – 2020.


Co-financed by the Connecting Europe Facility of the European Union. Action No. 2016-ES-TM-0272-S.

EasyTV - Easing the access of Europeans with disabilities to converging media and content

Description: One of the many challenges people with various degrees of disabilities face (visually or hearing impaired) is their inability and difficulty to access mainstream products and services thus being excluded from enjoying audio-visual services on an equal basis as people without disabilities. In this context, the EasyTV system aims not only to ease the access to multimedia services, by offering novel media delivery mechanisms but also to move one step further, by enhancing interaction based on a multi-language approach, and adapt it to the user’s preferences providing personalised content in a integrated single multiterminal platform.

Duration: 2017 – 2020.


This project has received funding from the European Union’s Horizon2020 research and innovation programme under grant agreement Nº 761999.

5G-Media - Programmable edge-to-cloud virtualization fabric for the 5G Media industry

Description: The focus of 5G PPP H2020 remarkable research so far has been largely on the required advances in network architectures, technologies and infrastructures. Less attention has been put on the applications and services that will make use of and exploit advanced 5G network capabilities. 5G-MEDIA aims at innovating media-related applications by investigating how these applications and the underlying 5G network should be coupled and interwork to the benefit of both.

Duration:2017 -2020.


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nº 761699.


MIPAC: Monitorización por procesado de imagen y ciencia ciudadana para la conservación de materiales del patrimonio cultural

Description: Una parte importante de los procesos de degradación de los materiales en el patrimonio cultural está asociada a cambios en su aspecto visual, fundamentalmente en el color. En base a este fenómeno, el proyecto MIPAC desarrollará una herramienta innovadora de monitorización del impacto ambiental sobre los materiales del patrimonio cultural, a partir de los cambios de color asociados al deterioro. El seguimiento de estos cambios se realizará mediante el análisis de imagen de  fotografías realizadas con teléfonos móviles y aportadas por los visitantes y los responsables de las colecciones a través de una aplicación. Esto permitirá disponer de una solución flexible, escalable y de bajo costo para recopilar datos de conservación, y por otro, fomentar el compromiso de la sociedad con su patrimonio.

Duration: 2019 – 2021.

Funded by: Comunidad de Madrid.

Call: Sinérgicos I+D.

Reference number: Y2018/NMT-4913.

Private sector

Revisión VARIM 2.0

Descripción: El objeto es la prestación es la realización de tareas de actualización de software del sistema VARIM 2.0, incluyendo también revisión de la funcionalidad actual y calibración del sistema para la correcta ejecución de tareas de análisis multiespectral.

Duración: septiembre – octubre 2019.

Entidad contratante: Instituto del Patrimonio Cultural de España.

LPS-BIGGER: Línea de Productos Software para Big Data a partir de aplicaciones en entornos reales

Descripción: El objetivo principal del proyecto LPS-Bigger es la creación del primer entorno de desarrollo para aplicaciones Big Data. Para la creación de este entorno de desarrollo se seguirá una aproximación de Línea de Producto Software (LPS). La LPS propuesta usará como core assets, un conjunto de componentes que cubren todas las fases del ciclo de vida de una aplicación Big Data. Estos componentes se definirán, diseñaran y desarrollaran para su incorporación en la LPS a partir de aplicaciones Big Data innovadoras en distintos ámbitos funcionales y de mercado que se desarrollarán también en el marco de este proyecto. Dichos componentes, debidamente encapsulados para facilitar su reutilización, no solo serán usables por la LPS sino que serán un autentico toolkit o librería de componentes que los programadores puedan usar directamente.

Las aplicaciones Big Data propuestas incorporarán innovaciones tecnológicas y funcionales en entornos novedosos en los que las tecnologías Big Data no se han explotado suficientemente (o nada en absoluto) y para los que esta aproximación proporcionará numerosas ventajas competitivas.

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Duración: 2014-2017

REPARA 2.0: Rehabilitación sostenible de pavimentos de carreteras

Objetivo: El desarrollo de nuevas tecnologías y metodologías que apoyen a la gestión de infraestructuras y permitan rehabilitar y conservar cualquier tipología de carretera a un menor coste económico y medioambiental, mejorando su adaptación frente al cambio climático.

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Período: 2015-2019

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