Association loi 1901 · France

Advancing environmental engineering through AI. and AI through environmental engineering.

GreenMinds unites AI and environmental engineering experts. We apply AI to environmental work, and environmental methods to AI itself.

Explore our expertise → Meet the team
  • Collaborative research
  • Training & education
  • Knowledge sharing
  • Commissioned research
The idea

Environmental
engineering Artificial
intelligence

The relationship runs both ways. Each discipline sharpens the other, and holds it to account.

AI to environmental engineering

Sharper instruments for LCSA, hydraulic modelling, material criticality and mining.

Environmental engineering to AI

What AI itself costs in energy, water and materials, and the case for running it on renewables.

Expertise

From AI to exergy analysis

Five specialisms, held by four researchers, applied to the same question: what a product or process really costs in terms of energy, water and materials, not only in terms of money.

Artificial Intelligence

GenAI, LLMs and Graph Neural Networks for predictive modelling, resource optimisation and real-time sustainability monitoring.

NLPLLMsGNNKnowledge graphs

Life Cycle Sustainability Assessment

Environmental, social and economic impacts across products, processes and systems. The method shared across the whole association.

ProductsProcessesSystems

Hydraulic & hydrological modelling

Flow, flood and stormwater network modelling, industrial water footprint studies and stress scenarios for water-scarce regions.

Flood modellingStormwaterWater footprint

Material demand & criticality

What the energy and digital transition will demand in metals, and how circular pathways change the answer: demand scenarios and criticality assessment.

Energy transitionCriticalityCircularity

Exergy analysis

The thermodynamic cost of recovering metals from primary and secondary sources as ore grades decline, measured in terms of energy rather than price. We are among the pioneers of applying it to critical materials.

Ore gradeMetal recoveryThermodynamics
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Non-profit

Any surplus reinvested in our mission

Applications

Where this expertise applies

Our members have carried out this work through doctoral research, EU projects and university partnerships. Two further domains are where we are taking it next.

Mining & critical materials

Tailings valorization, waste rock recovery, silicon and battery value chains, and the energy cost of extraction as ore grades decline.

Water & sanitation

Stormwater management, sewage network optimisation, treatment processes and industrial water footprints.

Waste & bio-based industry

Anaerobic digestion, biofuels, aquaculture and waste management.

Health systems Emerging

Applying life-cycle methods to healthcare services and infrastructure.

AI systems themselves Emerging

What a model costs to train and to run, and in what. The other direction of the loop.

Who we are

Specialists volunteering their specialism

GreenMinds is a French non-profit association (loi 1901) founded by international experts in artificial intelligence, environmental engineering and hydraulics.

Oscar Rodríguez

Oscar Rodríguez

President

PhD in Computer & Control Engineering (Politecnico di Torino). AI Engineer at LumApps. Knowledge representation and reasoning, NLP and LLMs, machine and deep learning.

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Ricardo Magdalena

Ricardo Magdalena

Volunteer, Critical Materials & Sustainability

PhD in Industrial Ecology, CIRCE / University of Zaragoza, on the exergy cost of metal recovery as ore grades decline. Researcher in Ghent University’s STEN Group. LCSA, critical metal recovery and material demand modelling.

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Dayana Figueroa

Dayana Figueroa

Volunteer

Environmental engineer, MSc in Hydrotechnological and Environmental Project Management. Hydraulic modelling, stormwater management, sewage network optimisation and LCSA.

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Leo Moustier

Leo Moustier

Secretary

Completing his high-school studies in Nice, working at the intersection of ecology and artificial intelligence through scientific outreach and content on sustainable technologies.

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