ROMSOC (their largest project at EUR 495K) focused specifically on model hierarchy, model coupling, model reduction, and error estimation across industrial applications.
CONSORCIO CENTRO DE INVESTIGACIÓN E TECNOLOXÍA MATEMÁTICA DE GALICIA
Galician applied mathematics centre providing simulation, modelling, and optimization expertise for industrial and environmental challenges across Europe.
Their core work
CITMAGA is a mathematical research centre in Galicia, Spain, specializing in applied mathematics — particularly reduced-order modelling, simulation, and optimization of complex coupled systems. They translate abstract mathematical methods into practical tools for industrial applications such as predictive maintenance, metallurgical process optimization, and computational finance. Their work bridges the gap between advanced mathematical theory and real-world engineering challenges, providing modelling expertise that industrial partners typically cannot develop in-house.
What they specialise in
PreCoM project (EUR 312K) applied their mathematical modelling capabilities to predictive cognitive maintenance in manufacturing.
SisAl Pilot (EUR 421K) applies their expertise to silicon production from secondary aluminium sources, involving hydrometallurgy and slag treatment processes.
G-NIGHT (Galician Night of Researchers) demonstrates their commitment to scientific culture and dissemination at the regional level.
How they've shifted over time
CITMAGA's early H2020 work (2017-2018) was rooted in fundamental applied mathematics — model reduction, coupled system simulation, computational finance, and adaptive optics — reflecting their core identity as a mathematics research centre. Their more recent projects (2020-2024) show a clear pivot toward industrial materials processing, specifically aluminium recycling, silicon production, and hydrometallurgy. This shift suggests they are increasingly applying their mathematical modelling toolkit to tangible sustainability and circular economy challenges rather than staying in purely academic territory.
CITMAGA is moving from abstract mathematical research toward applied industrial sustainability problems — expect them to seek more projects where mathematical modelling meets green manufacturing or resource efficiency.
How they like to work
CITMAGA participates exclusively as a partner, never as coordinator, which is typical for a specialized mathematical research centre that provides modelling expertise to larger consortia. With 69 unique partners across 16 countries in just 4 projects, they consistently join large, diverse consortia (averaging 17+ partners per project). This means they are comfortable operating in complex multi-partner environments and likely contribute focused mathematical/computational work packages rather than driving overall project direction.
Despite only 4 projects, CITMAGA has built a surprisingly wide network of 69 partners across 16 countries, indicating they consistently join large European consortia. Their geographic reach spans well beyond Iberia into a genuinely pan-European collaboration footprint.
What sets them apart
CITMAGA's distinctive value is their ability to bring rigorous mathematical modelling to industrial problems that most engineering partners would tackle with empirical or heuristic methods. They sit at the intersection of pure applied mathematics and heavy industry — a rare combination. For consortium builders, they offer the kind of simulation and optimization expertise that strengthens proposals in manufacturing, energy, and materials processing without duplicating what engineering partners already provide.
Highlights from their portfolio
- ROMSOCTheir largest project (EUR 495K) and an MSCA training network, demonstrating recognized expertise in reduced-order modelling across applications from adaptive optics to blood pumps to power networks.
- SisAl PilotAn innovation action (EUR 421K) tackling silicon production from aluminium waste — marks their pivot from theoretical maths toward industrial circular economy applications.
- PreCoMApplied their mathematical modelling to predictive maintenance in manufacturing, showing their ability to translate abstract methods into Industry 4.0 tools.