08Consortium

BlueAI consortium is structured around research groups at each partner institution, integrating complementary expertise in AI, marine science, digital infrastructure, and environmental sustainability.

UMU

RoleOverall coordination and scientific leadership in AI for marine characterization.
PIAntonio F. Skármeta Gómez · Juan A. Botía Blaya
SubprojectBlueAI-UMU
Funding639.300 EUR
Personnel255,000 EUR + 240,000 EUR
Equipment74,000 EUR
Prototyping / Consumables16,000 EUR
Publications / Conferences16,000 EUR
Audit + Travel/Stays15,000 EUR + 23,300 EUR

Research Group

ants research group

The ANTS Research Group, part of the Intelligent Systems Group at the University of Murcia (UMU), develops advanced intelligent IT services and applications across heterogeneous network environments, including IPv4/IPv6, ad hoc, sensor, and cellular infrastructures. Its research addresses core challenges in mobility, multicast, security, and dynamic network management, combining theoretical rigor with practical implementation.

A central asset of ANTS is Gaia Lab, an experimental environment for 5G and beyond-5G research operated by the Department of Information and Communications Engineering at the Faculty of Computer Science. Gaia Lab integrates distributed virtualization and backhaul resources across multiple sites, supporting cloud-native core network components, SDN/NFV/MEC experimentation, and real-time orchestration through platforms such as OpenStack, Proxmox, OSM, and Kubernetes.

The infrastructure enables multi-access experimentation through 5G SA, SDR-based deployments, LoRaWAN, and C-ITS/PC5 technologies, with programmable high-capacity wired backbones and campus-scale test scenarios. This integrated environment supports reproducible validation from low-TRL exploratory setups to advanced pre-deployment prototyping.

ANTS maintains an active research portfolio in ad hoc and sensor networks, context-aware adaptive multimedia, policy-based management, intelligent transportation systems, optimization and intelligent data analysis, ubiquitous computing, and advanced security and AAA services. Over recent years, this work has produced prototypes, platforms, and deployable outcomes through sustained participation in national and international collaborative projects.

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UPV

RoleAdvanced sensing strategies and IoT/TinyML deployment for marine monitoring.
PIPietro Manzoni · Sara Blanc
SubprojectBlueAI-UPV
Funding-
StatusNo consolidated total in memory
Budget LinesPersonnel · IoT/TinyML materials
Budget LinesCommunications infrastructure · project travel

Research Group

CRG (Grupo de Redes de Computadores)

GRC is a research team at Universitat Politècnica de València (UPV), active since 2000, with a focus on next-generation communication systems and intelligent networked infrastructures. Its work combines networking, edge intelligence, and applied AI to design robust digital foundations for real-world environments.

The group develops and validates solutions in key areas including AIoT for environmental sustainability, drone networks and swarms, LPWAN architectures, intelligent transport systems, mobile edge computing, and scalable pub/sub and social-sensing platforms. This multidisciplinary approach enables GRC to address complex scenarios in which connectivity, autonomy, and low-latency decision-making are critical.

Through strong participation in national and European R&D programmes, GRC contributes to a broad portfolio of competitive projects spanning environmental monitoring, digital twins, sustainable mobility, autonomous systems, and resilient IoT-edge deployments. This activity translates into transferable outcomes such as software tools, open platforms, prototypes, and operational frameworks with impact beyond academia.

Beyond research outputs, GRC maintains a strong commitment to dissemination, international collaboration, advanced training, and open-source development, helping bridge scientific innovation and societal and industrial uptake.

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USAL

RoleAI enablers and service infrastructure for ecosystem integration and operation.
PIAlfonso González Briones · María Angélica López Arrieta
SubprojectBlueAI-USAL
Funding317.224 EUR
Personnel301.024 EUR
Direct Costs12.200 EUR
Open Access + Registration + Travel4.400 + 3.000 + 4.800 EUR
Audit4.000 EUR

Research Group

BISITE Grupo de Investigación

BISITE Grupo de Investigación is a multidisciplinary research group at the University of Salamanca focused on the development and application of intelligent information systems to complex real-world problems. Its work integrates bioinformatics, artificial intelligence, IoT, blockchain, cybersecurity, Industry 4.0, and smart-city technologies within a strongly applied research framework.

With more than one hundred members from diverse backgrounds, including computer science, physics, economics, pharmacy, biology, and communication, BISITE combines methodological rigor with cross-domain collaboration. The group has participated in over fifty research and innovation projects in cooperation with companies, universities, and research centers, while maintaining a balance between practical implementation and theoretical advancement.

BISITE has also played a leading role in ecosystem development through initiatives such as the IoT Digital Innovation Hub, the coordination of postgraduate programs, and active involvement in international conferences and scientific dissemination. Its infrastructure includes dedicated laboratories and a proprietary data center that support advanced experimentation in software systems, distributed intelligence, secure digital services, and IoT-enabled environments.

Current research spans a broad set of strategic areas, including deep learning, natural language processing, generative AI, edge computing, quantum computing, emotional systems, fintech, smart grids, traceability, virtual and mixed reality, neuroscience, and educational technology. This breadth positions BISITE as a key contributor to the responsible adoption of emerging digital technologies in both societal and industrial contexts.

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UVigo

RoleAI solutions for environmental interpretation, operational response and remediation strategies.
PIBeatriz Mouriño Carballido · Marta Sestelo Pérez
SubprojectBlueAI-UVigo
Funding304.000 EUR
Personnel118,000 EUR + 159,000 EUR
Travel / Meetings19,000 EUR
Open Access + Workstations10,000 EUR + 10,000 EUR
CESGA + Doctoral Enrolment3,000 EUR + 1,000 EUR

Research Groups

CIM

CIM at the University of Vigo is a leading European center for interdisciplinary marine research, recognized for scientific excellence, innovation capacity, and societal impact. Through a strong international network and singular research infrastructures, CIM advances marine biotechnology, ocean observation, sustainable aquaculture, and blue energy, contributing to Galicia’s position as a strategic hub for marine science in Europe.

The center brings together around 200 professionals, including 144 researchers organized into 16 research groups and approximately 50 technical staff supporting scientific activity. Recognized by the Xunta de Galicia as a Center of Research of Galicia (CIGUS network) and serving as a central node in the marine strategy of the Galician University System, CIM develops high-impact marine science oriented toward both academic quality and real-world outcomes.

CIM’s mission is to contribute to ocean conservation and sustainable use through research, innovation, and knowledge transfer. Its work is strongly rooted in the Galician coastal context while addressing global challenges such as climate change, marine pollution, renewable ocean energy, and sustainable aquaculture. This perspective is reinforced by strategic collaborations through Campus do Mar, EMBRC, and multiple international research networks and European initiatives.

The center combines scientific leadership with advanced operational capacity through infrastructures such as ECIMAT, an experimental monitored mussel raft, and an oceanographic fleet that includes Spain’s first plug-in hybrid oceanographic vessel. Beyond research outputs, CIM promotes ocean literacy, open science, responsible research and innovation, equality and sustainability policies, and active collaboration with institutions, industry, and society to support long-term marine resilience.

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GOB

GOB at the Universidade de Vigo focuses on microbial plankton, the foundational component of marine food webs. The group combines complementary approaches, including field observations, laboratory experiments, database analysis, and numerical modeling, to understand plankton dynamics and their ecological and biogeochemical relevance in coastal and oceanic systems.

GOB’s research is structured around three core lines: diversity, metabolism, and biogeochemical roles of marine planktonic microbial communities; physiological and ecological responses of plankton to environmental drivers, including global change; and coupling between hydrodynamic processes and the composition and activity of marine microbial plankton.

Beyond research, GOB maintains a strong commitment to higher education and scientific training through undergraduate and postgraduate teaching at the Universidade de Vigo, as well as supervision of bachelor’s theses, master’s dissertations, and doctoral theses. The group is also actively engaged in science communication, participating in outreach activities for diverse audiences and promoting public understanding of marine science.

Its scientific trajectory is reflected in sustained publication output, competitive project participation, and current involvement in strategic initiatives such as BlueAI and MAGIC, with a particular focus on understanding productivity and toxicity processes in the Rías Baixas. Through this integrated profile, GOB contributes to advancing marine knowledge with direct environmental and societal relevance.

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CITMAga

CITMAga (Galician Centre for Mathematical Research and Technology) is a joint initiative of Galicia’s three public universities created to integrate scientific capabilities in mathematics under a shared strategic vision, with a strong commitment to knowledge transfer. Through a collaborative culture focused on excellence in research, innovation, and training, CITMAga aims to consolidate itself as a national and international reference center for mathematical science and technology.

Its mission is to serve as a pillar of excellence within Galicia’s R&D ecosystem by attracting and retaining talent, advancing frontier mathematical research, and generating sustainable academic, social, and economic impact. CITMAga is particularly oriented toward enabling transfer to industry and public institutions, facilitating access to high-value mathematical technologies that strengthen competitiveness and support evidence-based decision-making.

The center aligns its scientific activity with European framework programs, Spanish innovation priorities, and Galicia’s RIS3 strategy. Its scientific agenda is structured through the M4 framework—Science and Knowledge, Digital Society, Life and Sustainability, and Industrial Competitiveness—combining research and transfer programs with dedicated initiatives for dissemination and technology uptake.

CITMAga operates under principles of academic freedom, excellence, equity, collaboration, ethics, social responsibility, and Open Science. This institutional model supports interdisciplinary cooperation, transparent governance, and long-term contribution to societal well-being through mathematical innovation with real-world impact.

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SiDOR

SiDOR (Statistical Inference, Decision and Operations Research) is a research group at the University of Vigo founded in 1998 by mathematicians specialized in statistical modeling, inference, and operations research. The group currently brings together more than 30 members, including permanent researchers, postdoctoral researchers, PhD candidates, and technical staff, and contributes actively to advanced training through interuniversity master’s and doctoral programs in Statistics and Operations Research.

SiDOR’s research is organized around two major pillars: nonparametric and semiparametric statistical inference for complex data settings (including high-dimensional and censored data), and methodological developments in game theory, decision theory, and operations research. This dual profile allows the group to combine foundational methodological work with practical decision-support approaches in uncertain and data-intensive environments.

The group leads and participates in competitively funded projects at regional, national, and European levels, covering both basic research and applied challenges in areas such as economics, engineering, and biomedical sciences. SiDOR is a member of the Spanish Mathematics-Industry Network (math-in) and contributes actively to the Galician Centre for Mathematical Research and Technology (CITMAga), reinforcing its role in knowledge transfer and mathematical innovation with societal and industrial relevance.

Recognized by the Government of Galicia as a competitive reference group since 2008, SiDOR maintains a sustained trajectory of scientific production, collaboration networks, and industry-oriented research, positioning the group as a key actor in statistical and operational decision sciences.

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