Roberto Gómez-Espinosa Martín

Projects: https://www.hi-iberia.es/artificial-intelligence

Space · Remote Sensing:
· SEDA (SatEllite Data AI): Geospatial intelligence platform for Defense. SEDA automatizes the analysis processing of satellite information from different data sources [satellite/drone/ISR ] to guarantee the early and effective detection of relevant elements for Defense.

Blockchain/Smart Contracts:
The GREEN project is an Artificial Intelligence (AI) platform set up in response to Spain's demand for digital transformation. It utilizes AI to optimize transactions for electric vehicle charging services using technologies such as Federated Learning, Blockchain, and Smart Contract in a decentralized, secure, and transparent manner. The platform's predictive modeling capability enables forecasting energy demand at recharging stations, which benefits station managers in negotiating energy prices with Electricity Grid Providers without compromising customer data.

Fusion:
DONES-Flux is part of the IFMIF project that aims to generate material irradiation data for constructing the DEMO fusion power production plant. This involves developing a high-energy neutron source at the DONES facility. We aid this project by leveraging artificial intelligence to enhance the efficiency and precision of the facility's operations. We use deep learning models and reinforcement learning to control and model the facility's primary material and energy flows, including the high-energy beam, Lithium reactants, neutron irradiation, and energy management.

Maintenance:
The MAPRE project utilizes AI to develop a predictive maintenance platform for equipment on Spanish Navy ships. The platform consists of a predictor on land (PET) to process data and train AI models and a predictor on board (PAB) to process real-time data using pre-trained models for determining health levels of assets, detecting anomalies, and predicting remaining lifetimes. This system enables efficient predictive maintenance planning. The platform's key feature is the automation of training and inference processes of these predictive models and scalability to extend to all fleet equipment and vessels.

New Materials:
· Lion-HD: Industrial research of strategic materials for high energy density and cost-optimized lithium-ion batteries in sustainable electro-mobility". The proposed AI framework combines Reinforcement Learning (RL), Graph Neural Networks (GNN), and Generative Adversarial Networks (GAN) technologies to train models capable of generating materials with chosen properties.

Energy:
· ENIGMA [Electric Grid Ai]. ENIGMA is a response to the Grid 2030 program created by Red Eléctrica de España. ENIGMA develops intelligent agents capable of acting as controllers in renewable power generation plants and replacing the current control system with a more optimized solution capable of intelligently adapting to the variability of scenarios that arise in the grid.