smart energy

Digital Twin for a photovoltaic solar power plant, both to diagnose the state of health of the plant and supply maintenance recommendations, to reduce costs, extend lifetime, and achieve a better return on investment

High-power, high-frequency power converters for heavy-duty long-haul electric vehicles to obtain improved performance, safety, reliability, cost and sustainability

Digital Twins and applied IoT with advanced cloud-based functionalities for the management of energy, infrastructures and assets of intensive industries in urban environments

Digital Twins for Li-ion batteries, to improve operation, efficiency and lifetime, and advanced physic and data-driven models for battery diagnosis and prognosis

New concept of a smart, modular and scalable battery pack for a wide range of electric vehicles used in urban electromobility services, from mid-size electric vehicles to electric buses

Development and validation of the first 5 kW all-copper redox flow battery prototype for stationary storage applications, achieving sustainability, cost and performance using a new material, an innovative design, and intelligent control

Low-cost system for energy control in the SOHO segment, making the user a central element in decision-making, and using AI to obtain a reduction in energy consumption

digital health

uptake

Novel unobtrusive physiology and activity monitoring technologies for a better understanding of healthy ageing processes.

champ

Creation of trainable knowledge models that benefit from a personalised and precise integration of air quality data acquisition with the real-time evolution of physiological parameters in the development of several breathing disorders

di2020

Effects of the daily exposition to some prevalent atmospheric pollutants on patients with COVID-19 and other high-risk respiratory diseases, such as COPD and asthma

earlycare

Cutting-edge unobtrusive sensing technologies and advanced AI techniques to create a health monitoring system enabling early prediction of Diabetes Mellitus, Congestive Heart Failure and related diseases

edge

Monitoring of Activities of Daily Living (ADL) of elders living alone at home, using gas sensors and applied AI to design identification algorithms through ML techniques

core one

Use of graphene sensor networks in Ambient Assisted Livings environment to detect human activities, and integration into a monitoring system to feed AI and decision support algorithms

invisum

Intelligent video-surveillance integrated into a monitoring system to identify daily activity of people and supply advanced security

nextgen iot

canleish

Non-invasive methodology for the diagnosis of leishmaniasis in dogs via the analysis of volatile breath samples, employing analytical methods and a system composed of different chemical gas sensing devices

meatrack

Continuous and real-time monitoring of Volatile Organic Components (VOCs) produced by meat inside a refrigerator using gas sensors to be aware of its freshness and quality

di2019

Gas sensing enhanced with edge computing powered by a microprocessor based on a RISC-V architecture, and optimized for low energy consumption and high data security

edge

Monitoring of Activities of Daily Living (ADL) of elders living alone at home, using gas sensors and applied AI to design identification algorithms through ML techniques

core one

Use of graphene sensor networks in Ambient Assisted Living environments to detect human activities, and integration into a monitoring system to feed AI and decision support algorithms

grass

Design, development and validation of an innovative prototype of a graphene-related node for a wireless sensor network to be used as autonomous system for environmental monitoring on different areas