Research Projects

• Co-investigator, Contract 045-2025 UIS-MINCIENCIAS — Joint inversion of gravimetry, magnetometry, and magnetotelluric data for geothermal exploration, Cerro Machín volcano (2025–present)
• Co-investigator, Project 9836, MINCIENCIAS & ANH — New computational technologies for 3D seismic acquisition geometry design (2021–2023)
• Co-investigator, Project 3925, UIS — Improvement of seismic imaging in emerging Colombian basins (2024–2025)
• Co-investigator, Project 4619, MINCIENCIAS & ANH — [DESCRIPCIÓN CORTA] (AÑO–AÑO)"

Awards

• Distinction from the Departmental Assembly of Putumayo for contributions to geophysics and academia (2023)
• Honorable Mention in Engineering, Torres Ingeniería S.A.S. (2014)

Students and Mentoring

• Daniela Quintero Madariaga — Multiphysics integration for static shift correction in electrical methods and uncertainty reduction in subsurface models (Geology, 2025)
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• Gabriel Moreno Sánchez — 3D gravity inversion with adaptive initialization and sequential regularization: a case study in Cerro Machín geothermal area (Geology, 2024)
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• Álvaro José Ascanio Sánchez — Geological fault segmentation in noisy seismic images using convolutional neural networks (Geology, 2024)
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• Sergio Hernando Sánchez Ospina — Susceptibility analysis due to mass movements as an input for the implementation of solid flow retaining barriers (MSc Engineering – Water Resources, Universidad Nacional de Colombia, 2023)
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• Geraldine Andrea Ariza Serrano — Generalization of post-stack seismic image enhancement through data augmentation using deep generative models (MSc Geophysics, 2023)
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• María Paula Bohórquez Díaz and Britney Yeniett Hernández Fajardo — Groundwater exploration using electrical resistivity profiles in the upper members of the Rionegro Formation between the urban area of Málaga (Santander) and the Servitá River (Geology, 2022)
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• Ana Gabriela Mantilla Dulcey — Prediction of the occurrence of porphyry-type mineral deposits using machine learning techniques (Geology, 2022)
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• Nicolás Córdoba Castillo — Reservoir porosity estimation from post-stack seismic data using a deep learning model constrained by well-porosity: a near-field application (MSc Geophysics, 2022)
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• Bryan Daniel Alvarez Castillo — Automatic detection of geological fractures and faults from image segmentation using deep convolutional networks applied to seismic cubes (Systems Engineering, 2021)
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• Mateo Acuña Uribe and María Camila Pico Forero — Seismic attributes application as a tool for the identification of geological faults in a field of the Middle Magdalena Basin (Geology, 2020)
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Research Funding