Projects - CeDRI

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ACTIVA_RURAL_TRANSFRONTERIZO: Innovation and care for an active lifestyle in the cross-border rural area

The project addresses the issue of an ageing population in the rural cross-border areas between Spain and Portugal, where older people face difficulties in accessing adequate care services. The lack of integrated services, digital exclusion, unwanted loneliness and a shortage of technological infrastructure create inequalities that affect their quality of life and social inclusion. The overall objective of the project is to promote an inclusive, accessible and sustainable model of care through the creation of Smarthaus Villages, which function as living laboratories for innovation in wellbeing, community health, care and active ageing, applying the principles of the New European Bauhaus (NEB): sustainability, inclusion and aesthetics. The project will be developed through cross-border cooperation to drive more accessible, effective and resilient care services. This strategic cooperation will enable the design and implementation of joint solutions that integrate assistive technologies, inclusive digitalisation and person-centred community care models, prioritising community services adapted to rural areas. The implementation of this innovative model aims to ensure access to essential services, promote personal autonomy, community participation and active ageing among older people, and contribute to the socio-economic development of the rural areas involved.

Funded by: INTERREG - POCTEP

Consortium: Diputación Pontevedra; Universidade de Vigo; Diputación Ourense; Universidade de Santiago de Compostela; Xunta de Galícia; Diputación León; Diputación Cáceres; CIM Alto Minho; CIM AT; CIM TTM; CIM AA; CIM BSE; CIM BB; Instituto Politécnico de Leiria

Duration: January 2026 - December 2028

Keywords: N/A

Development of a Digital Twin-Assisted Intelligent System for Detecting Multiple Simultaneous Faults in Induction Motors

The project consists of the development of a robust methodology for fault identification in induction motors. The application of techniques for predicting simultaneous faults increases the availability and reliability of motors. The methodology encompasses the use of digital twins combined with artificial intelligence algorithms to produce a real-time maintenance tool for electric motors. Additionally, the digital twin allows the extension of the experimental data set beyond the motors available in this project, enabling the analysis of various faults and their severities.

Funded by: CNPq/MCTI

Consortium: UTFPR; IF Catarinense; IPB

Duration: January 2024 - December 2026

Keywords: N/A

SAFe: Forest Alert Monitoring System

The "SAFe: Forest Alert Monitoring System" project aims to create and implement a set of innovative operations that will minimize the occurrence of forest fires, monitoring the fauna, and contribute to the development of the Trás-os-Montes region, with specific focus in the district of Bragança. The set of activities that constitute the environment are easily replicable to other regions with similar characteristics.

Funded by: Fundação “La Caixa”

Consortium: CeDRI, CIMO, INESTEC

Duration: March 2019 - February 2022

Keywords: N/A

ACTIVA_RURAL_TRANSFRONTERIZO: Innovation and care for an active lifestyle in the cross-border rural area

Funded by: INTERREG - POCTEP

Duration: January 2026 - December 2028

Keywords: N/A

DataGEMS (Data Discovery Platform with Generalized Exploratory, Management, and Search Capabilities)

DataGEMS is a data discovery platform with Generalized Exploratory, Management, and Search capabilities. DataGEMS is built on the principles of data FAIRness, openness and re-use. It aims to seamlessly integrate data sharing, discovery and analysis into a system that addresses the whole data lifecycle, i.e., sharing, storing, managing, discovering, analyzing and reusing (data and/or metadata), bridging the gap between the data provider and the data consumer. DataGEMS is a next-generation data discovery and management ecosystem that engulfs different types of data (structured, unstructured, real-time and historical) and enables users to (a) enrich data through powerful data profiling mechanisms (b) seamlessly discover and analyze data across and within datasets using user-intuitive discovery and analysis mechanisms, such as using natural language and patterns, and (c) effectively explore and combine data with the help of stepwise guidance mechanisms during dataset discovery and analysis. The effective and efficient functioning of these mechansims will be powered by a data and model management layer that decouples data management at the low level from the data analytics at the higher level. DataGEMS is informed by and will be initially tested and deployed to promote data FAIRness and benefit diverse user communities and types of users on core domains: education, meteorology, and language data infrastructures.

Funded by: Horizon-EU

Duration: January 2025 - December 2027

Keywords: N/A

FRUCTHOR-AI

The horticultural sector represents a fundamental economic activity across the Sudoe territory, standing out for its high productivity, diversification, and specialization. In addition, it acts as a driving force for sustainable development in predominantly rural areas, both in terms of job creation and commercial and business opportunities. However, market globalization, increased competition, declining profitability, as well as labor shortages and the lack of generational renewal, constitute major challenges that affect its medium- and long-term viability and sustainability. In this context, the FRUCTHOR-IA project addresses the technical, financial, and labor-related challenges of the horticultural sector in the SUDOEu area, contributing to the optimization of its competitiveness through the development of autonomous robotics solutions for crop monitoring and collaborative human-robot work. These solutions make it possible to harness the potential of technological innovation to promote social and territorial cohesion, ensuring the position of the horticultural sector as a fundamental pillar of a sustainable, competitive, and inclusive economic model. The focus on applied innovation and the commitment to transfer will also be reflected in the formulation of a strategy to ensure the financial acceptability of collaborative robotics solutions.

Funded by: SUDOE

Consortium: Centro de Automática y Robótica; Instituto Tecnológico de Castilla y León; Fundación Andaluza para el Desarrollo Aeroespacial; Chambre d'Agriculture Dordogne; École Supérieure des Technologies Industrielles Avancées; Associação de Municípios da Cova da Beira; Instituto Politécnico de Bragança; Instituto Politécnico de Viseu; Conseil Départemental de la Dordogne; Agerpix Technologies SL

Duration: June 2025 - May 2028

Keywords: N/A

Digital Horizons - Appropriate, Safe and Ethical implementation of Digital Technologies

Digital Horizons is a project that aims to empower secondary school communities with the knowledge and skills needed to integrate digital technologies and artificial intelligence (AI) into teaching and learning. The project supports teachers, students aged 14 to 16, and their families in developing digital competence, ethical awareness, and innovative educational practices. Key outcomes include an online training package on AI ethics, digital security, assistive technologies, and innovative pedagogy; an online database of AI and digital tools for educational use; and a collection of video case studies showcasing successful applications of AI in education.

Funded by: Erasmus+

Consortium: IIS Galileo Galilei (Italy), RenaSup (France), Pixel (Italy), AEEG (Portugal), IPB (Portugal), Liceul EuroEd (Romenia)

Duration: December 2025 - November 2027

Keywords: N/A

Development of an intelligent system assisted by digital twin for detecting multiple simultaneous faults in induction electric motors

The project aims to develop a robust methodology for fault identification in induction motors. By leveraging techniques for predicting simultaneous faults, the methodology enhances the availability and reliability of motors. It incorporates the use of digital twins combined with artificial intelligence algorithms to create a real-time maintenance tool for electric motors. Additionally, the digital twin expands the experimental dataset beyond the motors available in the project, allowing for the analysis of various faults and their severity levels.

Funded by: CNPq/MCTI

Consortium: UTFPR; IF Catarinense; IPB

Duration: January 2024 - December 2026

Keywords: N/A

MathE (Improve Math Skills in Higher Education)

The main goal of MathE - Improve Math Skills in Higher Education - project is to encourage training and promote the quality, and diversity, of teaching math. New tools will be produced to support teachers and students. These strategies are supported with digital technologies and ICT procedures to improve pedagogies and assessment methods. In MathE project an Online Math Library will be available for students and teachers of higher education institutions to provide them with video based teaching and learning sources in order to reinforce specific mathematical topics, namely calculus, algebra, operation research, among others. Assessment tools are also available for training and final assessmets.

Funded by: Erasmus + KA2

Consortium: Instituto Politécnico de Bragança (PT), University of Genova (IT), Technical University of Iasi (RO), Kaunas University of Technology (LT), Limerick Institute of Technology (IR), Pixel (IT), EuroED (RO)

Duration: September 2018 - February 2021

Keywords: N/A

iMath - An Intelligent System to Learn Mathematics

The iMath project aims to develop a new AI-driven tool that supports higher education students by providing them with a set of learning materials selected based on their previous performance and iMath Community feedback.

Funded by: Erasmus + KA2

Consortium: Instituto Politécnico de Bragança, Pixel, Hamburg University of Applied Sciences, University of Peloponnese, University of Genova, University of Malaga

Duration: January 2022 - June 2024

Keywords: N/A

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