Alberto Mozo is Full Professor at Universidad Politécnica de Madrid and Director of the PRISMA (Practical Research in Intelligent Solutions for Multidomain Applications) Research Group. He has been Principal Investigator in around a dozen European H2020 and Horizon Europe projects applying Big Data, Machine-Deep Learning and Artificial Intelligence to telecommunications, industrial systems, cybersecurity and smart water management.
The PRISMA group develops AI-based soft-sensors, predictive models, anomaly detection methods, digital twins and LLM-agent-based decision-support systems for complex industrial and environmental processes. The group works on the integration of LLM agents capable of supporting monitoring, diagnosis, prediction, optimisation and semi-automated decision-making in data-driven operational environments.
The PRISMA group is currently collaborating with IMDEA Water researchers on AI methods for soft-sensor generation, forecasting and automated decision-making in water-related processes, with strong potential transfer to circular resource management, industrial efficiency and sustainable operation of critical infrastructures.
The PRISMA group also owns and operates in-house high-performance NVIDIA H100 and H200 GPU infrastructure, enabling the local deployment, adaptation and fine-tuning of state-of-the-art LLM agents for specific industrial and environmental domains.
Looking for: We are preparing a RIVCircular Topic 5 proposal on digital water-quality intelligence and are looking only for pilot partners located in Hauts-de-France, Innlandet or Vienna. For Vienna, only enterprises are eligible.
We seek industrial companies, utilities or site operators with access to water, wastewater or water-based process streams who can host a low-disruption monitoring pilot. The monitored stream does not necessarily need to be conventional wastewater: it could also come from an industrial process, a treatment unit, a reuse loop, a fermentation process, or another water-rich operational environment, such as a brewery yeast fermenter.
Nanoelectra (https://nanoelectra.com/)) will provide the water-quality sensing technology, while the consortium will develop the digital analytics layer to support real-time monitoring, process optimisation, early anomaly detection and circular-economy decision-making.
Partners will gain early access to advanced monitoring capabilities, support from water-tech and AI experts, and a collaborative route to validate the solution in real operating conditio