Felipe Rincón is a PhD student at the University of Pisa. He holds a Master's degree with honors in Exploration and Applied Geophysics from the same university. Since 2015, he has actively contributed to various geophysical projects for mineral exploration, hydrogeology, geotechnical characterization, environmental studies. His ongoing research focuses on advancing geophysical inversion algorithms, such as Full Waveform Inversion (FWI), Multichannel Analysis of Surface Waves (MASW), and Electrical Resistivity Tomography (ERT). Moreover, his research delves into Deep Learning methods for inverting and processing geophysical data.
BSc in Engineering Geology at National University of Colombia, 2015.
PGCert in Geological Hazards at University of Geneva, 2018. MSc in Exploration and Applied Geophysics at University of Pisa (cum Laude), 2022. Thesis: Accelerating full-waveform inversion of surface waves through a properly trained Neural Network and Discrete Cosine Transform.
RESEARCH INTEREST
- Inverse problems
- Deep learning
- Full-Waveform Inversion
- Resistivity and Induced Polarization Inversion
- Geophysical modeling
Research project: Use of geophysical methods, inversion techniques and machine learning for the investigation of sites characterized by high degree of risk (e.g. landslides, sinkholes, landfills, embankments).
Supervisors:
Professor Mattia Aleardi (DST-UNIPI)
Professor Eusebio Stucchi (DST-UNIPI)
Professor Andrea Tognarelli (DST-UNIPI)
Felipe Rincón
Dipartimento di Scienze della Terra
Università di Pisa
Via Santa Maria 53
56126 Pisa
Italia