Portfolio

Promotion of the Catalan artificial intelligence ecosystem through the organization of territorial engagement events, technology transfer activities, and the connection between business, technology, and innovation. The CAT-AI project promotes the organization of events aimed at disseminating the main challenges faced by artificial intelligence (AI), emerging trends, best practices from pioneering Catalan companies, and applied AI use cases. The initiative was created with the aim of communicating the range of initiatives and opportunities related to AI being developed in Catalonia within the framework of the Catalonia AI Strategy 2030. The project aims to accelerate the advanced digital [...]

New technologies for obtaining reinforced metallic materials through oxide dispersion strengthening. The nODS project develops and demonstrates alternative production routes for metal matrix composite materials reinforced by ceramic particles. The solution combines the fundamental knowledge of powder metallurgy with two innovative tools: severe plastic deformation and additive manufacturing. The study contemplates the modification of the raw material through three different routes: the processing of metal powder in a reactive atmosphere, its coating through acoustic mixing, and modification during sintering. These three procedures enable the production of metallic powder with ceramic particles of different characteristics and with [...]

Intelligent platform for the automation and optimization of stock market operations. The SMART project is developing an advanced automated trading platform. This solution combines an Artificial Intelligence (AI) agent, responsible for creating and improving trading strategies, with a universal connection module that links the platform directly with various financial intermediaries (brokers). This technology enables users to optimize their financial market activities through intelligent, automated strategies, regardless of their level of expertise. Furthermore, by integrating a universal broker connector, the system eliminates reliance on traditional external platforms like MetaTrader 4, granting users greater flexibility and direct control [...]

Explainable models for predicting players’ behaviour and cognitive and emotional state in e-sports. The E-SPORTS project develops an innovative platform for training e-sports players in the game League of Legends, based on machine learning models capable of analysing both user behaviour and cognitive and emotional state. The platform integrates interaction data from peripherals and computer vision with psychophysiological measures such as heart rate, electrodermal activity (variation in the skin’s electrical conductivity) and the recording of brain electrical activity through electroencephalography (EEG). This combination of data enables the generation of personalised, adaptive and sustainable training experiences over [...]

Optimising hospital management through digital twins and AI INABED Smart Twins enhances hospital management with digital twins, AI, and predictive models. The project addresses challenges in bed occupancy and resource allocation by using the Care Necessity Index (INA), real-time data analysis, and an interactive visualisation platform. This innovative solution optimises decision-making in hospital management, providing healthcare managers with an advanced tool based on the combination of technology and clinical data. The project expects to dramatically reduce waiting times for bed assignments and improve resource allocation. The INA Index allows for a more equitable distribution [...]

Intelligent companionship for the well-being and preventive medicine of the elderly. The AIMARA project develops an intelligent virtual assistant capable of seeing, listening, and interacting naturally with the user and offering them personalized content. Its primary goal is to provide companionship to people over the age of 70 in situations of unwanted loneliness, using advanced technologies that reinforce the sense of support and proximity. The solution is based on a distributed architecture that combines edge computing, which processes data locally to ensure an immediate, real-time response, with cloud components dedicated to global management and data analysis. [...]

A platform to support and facilitate clinical communication for women during pregnancy and postpartum. The ASISTE project is developing a platform to improve support for women during pregnancy and the postpartum period within the hospital environment. The solution facilitates the understanding of clinical information and reinforces adherence to medical recommendations. The tool is based on intelligent recommendation systems to offer personalized educational content according to each user's profile, needs, and interaction. In this regard, the system analyzes declarative and usage data to generate contextualized recommendations, prioritize relevant content, and optimize the user experience. Additionally, it incorporates [...]

Comprehensive methodology to design, manufacture, characterize, and simulate high-performance plasma actuators for industrial applications, with a focus on electronic device cooling and aerodynamic system optimization. Dielectric Barrier Discharge (DBD) plasma actuators have emerged as an innovative technology with great potential, thanks to the absence of moving parts, their high response speed, and design flexibility. However, their development is still limited by the lack of holistic studies analysing the effect of multiple design, material, and control variables, as well as by the absence of accurate simulation models capable of reliably predicting their behaviour. In this context, the [...]

Artificial intelligence-based technological platform for the optimization of the perioperative process in cardiovascular surgery OPTIMUS develops a digital platform based on artificial intelligence to improve the quality of life of patients undergoing cardiovascular surgery. The solution integrates advanced digital health technologies, predictive analytics and clinical decision support systems (DSS) for personalized surgical planning and postoperative monitoring. The platform enables improved preoperative preparation, reduces postoperative complications and supports faster recovery, contributing to shorter hospital stays and greater healthcare system efficiency. The system addresses the entire perioperative process (before, during and after surgery) in an integrated manner, going [...]

Integrated methodology for PFAS removal in drinking water based on advanced technologies Perfluoroalkyl and polyfluoroalkyl substances (PFAS) represent a growing challenge in drinking water management due to their persistence and their potential impact on public health and the environment. The detection of concentrations exceeding the limits established in the Spanish Royal Decree 3/2023 at various water intake points highlights the urgent need to develop effective solutions that ensure regulatory compliance and the protection of public health. In this context, the PFAS-CLEARWATER project develops and validates an integrated methodology that combines advanced technologies for the effective removal [...]

Artificial Intelligence tools platform to automate the management, production and distribution of audiovisual content. The Plataforma MedIA project is an innovative initiative aimed at democratising access to Artificial Intelligence in the audiovisual domain by removing the technical barriers that currently limit its adoption. The project will enable companies, non-broadcast media organisations, educational institutions and public administrations to produce, manage and distribute high-quality audiovisual content without the need for specialised knowledge in AI or advanced technologies. To achieve this, Plataforma MedIA will develop a comprehensive suite of tools based on existing open AI models, which will be [...]

Omics technologies network for the research and development of functional ingredients and foods based on scientific evidence with effects on cognitive and mental health resilience. Cognitive and mental health disorders affect millions of people, with population ageing, lifestyle factors and chronic stress being three of the main drivers of their high incidence and prevalence. For this reason, preventing and slowing the progression of these disorders is one of the major challenges of the 21st century. The NEUROMICS network addresses this challenge through the development of scientifically-validated functional ingredients and foods capable of improving mental and cognitive [...]

Sustainable and customizable energy solutions for next-generation devices. The PHOTO-RECIRCUIT project drives the development of sustainable and customizable energy solutions for next-generation Internet of Things (IoT) devices, aimed at extending their lifespan and reducing their environmental impact. This initiative is developing a disruptive printed circuit board (PCB) technology using recycled steel substrates, designed to tackle the industry's heavy reliance on batteries and critical raw materials. The solution is based on PCBs with a recyclable steel core, functionalized with advanced vitreous coatings and integrated photovoltaic harvesters. This architecture enables the creation of low-power IoT devices that overcome [...]

Advanced protective coatings obtained through PVD and CVD to increase the service life of tools, dies and moulds used in hot-working material processes. HOT-COAT develops advanced protective coatings, obtained through PVD (Physical Vapor Deposition) and CVD (Chemical Vapor Deposition) technologies, to increase the service life of tools, dies, and molds used in hot-working material processes (hot forging, hot stamping, and plastic injection molding), while also improving the quality of the final surface finish of the processed parts. To this end, the project includes the implementation of new technologies for producing coatings with high functional performance (tribomechanical, [...]

Autonomous system for internal blade inspection aimed at predictive maintenance in wind turbine blades. The project develops an autonomous system for the internal inspection of wind turbine blades using a pendular drone specifically designed to operate in confined environments with complex internal geometries. The system integrates advanced sensing technologies—such as LiDARs (Light Detection and Ranging), optical and thermal cameras, and ultrasound sensors—combined with artificial intelligence techniques to accurately and automatically detect structural defects. In addition, the project incorporates GPS-denied autonomous navigation based on SLAM techniques (Simultaneous Localization and Mapping), advanced trajectory control and real-time data transmission, [...]