- Characterization of raw materials in primary and secondary natural resources
Use of remote sensing data for the mineral exploration, Machine Learning techniques for data processing and geological interpretations
Use of geostatistical approaches for 3D geological-geochemical modeling, mapping and characterization of resources (active mines and mining tailings).
Applications:
PhD-Thesis: Geostatistical modeling of ore deposits with transitional boundaries (case study: Iron Mine)
COP-Piles project (RawMatCop Academy- Sampling optimization in stockpiles/tailings, for grade mapping of raw material using geostatistical analysis and Earth observation data)
BRICO-Piles (RawMatCop Academy- Characterization of bauxite residuals in abandoned sites for contamination monitoring and raw material recovery using Copernicus data)
INCO-Piles project (EIT RM Projects INCO-Piles - International Consortium to recover CRMs from stockpiles/tailings targeting RIS)
- Temperature Characterization in shallow geothermal technologies
Use of geostatistical approaches for underground temperature characterization .
Applications:
H2020 Project GEOTeCH - Geothermal Technologies for economic Cooling and Heating
