- Automatic Characterization of Iron Ore and its Agglomerates through Digital Microscopy – Development of image analysis software for the Ferrous Technology Center/VALE.
- Identification and characterization of cracks and coating in iron ore pellets – Development of an automated methodology for the Ferrous Technology Center/VALE.
- Development of Methodology for Automation of Iron Ore and Pellet Image Analysis – Development of image analysis software for VALE’s Pelletizing Directorate.
- Automatic Classification of Macerals in Coal – Development of artificial intelligence methodology for the Ferrous Technology Center/VALE.
- Automation of microscale characterization and composition of cold microclusters – Development of image analysis software for the Ferrous Technology Center/VALE.
- Automated classification of minerals in Pellet feed using Deep Learning – Methodology development for the Ferrous Technology Center/VALE.
- Characterization of porosity and permeability of iron ore briquettes through X-ray Microtomography and Pore Network Modeling – Development of methodology for the Ferrous Technology Center/VALE.
- Development of Methodologies for Automatic Characterization of FCC Catalyst Particles – Infrastructure Project for CENPES/Petrobras.
- Automatic Morphometry of Catalysts – development of software for characterization based on digital image analysis – Project for CENPES/Petrobras.
- Development of methodologies based on image analysis and artificial intelligence for automatic identification of sporomorphs and vitrinite particles in oil well samples – Project for CENPES/Petrobras.
- Development of solutions for iron ore characterization (Sinter feed and Pellet feed) and some of its clusters based on microscopy optics automated, digital image analysis and artificial intelligence (AI).
- Development of methodologies for digital processing of signals from MFL equipment.
- Automatic classification of internal defects in pipelines.
- Development of software for automatic analysis of minerals, in terms of chemical composition, degree of association and grain size analysis.
- Development of techniques for processing wind blade waste, composed predominantly of thermosetting resins and glass fibers, aiming at their reinsertion as inputs in cement materials for civil construction.
- Development of a methodology for incorporating wind blade waste as a mineral addition or partial replacement of aggregates in cementitious mass and structural concrete compositions.
- Development of experimental and computational approaches for analyzing the physical, mechanical and structural performance of cementitious composites with the addition of wind blade waste.