European and International Projects

The Doctoral Network (DN) “RESCUER“ will focus on the training of young researchers (Fellows) in the general area of coastal oceanography, hydraulic and coastal engineering, applied mathematics, and scientific computation.

Establishing a multi-disciplinary network to tackle the design and the early-phase validation of digital biomarkers, specifically targeting the diagnosis of supraventricular arrhythmias (SVAs) and their associated potential for adverse risk assessment, via the joint combination of signal processing, artificial intelligence and non-clinical devices.

VASTO Proof of Concept aims to develop and test an innovative microfluidic-based platform, which allows to evaluate the efficacy of different cell immunotherapy strategies against solid tumours.

The objective of the project is to enable the operation of Kraft recovery boilers in oxy-fuel mode.

ECHOES will capitalize on recent breakthroughs in decoding the spinal outputs to muscles to develop a theoretical and experimental framework to unveil the 'motor null space' in human muscles.

METASTRA will propose new guidelines for the stratification and management of metastatic patients. METASTRA approach is expected to cut the uncertain diagnoses from the current 60% down to 20% of cases. This will reduce patient suffering, and allow cutting expenditure by 2.4B€/year.

ENLIGHTEN will seek to develop next-generation electro-optical (EO) sensing devices for operational effectiveness.

eNargiZinc aims at developing new knowledge, technology and commercially exploitable products related to innovative and affordable next-generation EES devices, targeting long-term sustainability through the use of abundant and renewable materials and low environmental-impact production processes.

La digitalización de la industria depende del éxito de la integración de los trabajadores con los robots. También resulta importante utilizar robots capaces de ejecutar operaciones seguras con tiempos y costes mínimos de preparación de los robots y aumentar la flexibilidad de la configuración de los talleres. En el proyecto Sestosenso, financiado con fondos europeos, se desarrollará una nueva tecnología de detección, desde el soporte físico hasta los niveles de percepción cognitiva y control, para las próximas generaciones de robots colaborativos. La tecnología se basa en sensores táctiles y de proximidad integrados en el cuerpo del robot a fin de proporcionar una percepción táctil unificada del entorno, controlando así las acciones e interacciones del robot de forma segura y autónoma. El equipo de Sestosenso realizará tres demostraciones industriales en los ámbitos de la automovilística, la logística y la agricultura.

The rapid advancement of AI technologies has led the EU to decide on hosting a research environment focused on scientific and ethical excellence, which grows with the cooperation of members from within the EU and the assistance of academia and industry. The EU-funded AI4EUROPE project, in collaboration with AI4EU and other related projects, aims to develop this space by introducing an unbiased, open and cooperative platform from and for the European research community for excellent studies of AI. This platform will provide services ranging from data access, services and tools to cooperation with other researchers. The project will also enable a business model for guaranteeing its continued operation.

ICoMICS aims to develop a novel virtual simulation platform to investigate how therapeutic immune cells (TICs) detect, move and interact with cancer cells and the tumour microenvironment.

Construction of an energy self-sufficient habitable module based on 20-foot containers and fueled with hydrogen produced with clean energies to build bases for European armies. It will be modular and removable and will allow a process of decarbonization of the European armed forces to begin.

3D printing to restore a damaged heart

Mapping of regions of importance is fundamental to interact with the environment, from satellite maps of glaciers to functional maps for GPS navigators. Autonomous vehicles also work by matching visual data to an existing map which needs to be constantly updated and extended. Now,
EndoMapper is developing a similar mapping system to support endoscopic procedures like colonoscopy, tumour biopsy, or even targeted drug delivery. To accomplish their world-first, the team must tackle the challenge of modelling non-rigidity. Unlike roads and byways, the body's
tissues and organs are prone to change as the endoscope moves. Taking advantage of new non-rigid mathematical models and machine learning, endoscopy may soon enter the realm of augmented virtual reality and autonomous navigation.