Computational Geophysicist | UAV Radiometrics | Magnetics | Inversion
PhD Candidate in Geological Sciences at Queen's University, Canada
I am a computational geophysicist specializing in UAV-based radiometric and magnetic surveys. My research combines physics-based modelling, numerical simulation, inversion, and geophysical data processing to improve survey design and geological interpretation.
My current work examines how flight altitude, line spacing, detector response, sampling density, terrain, and measurement uncertainty affect the quality of UAV geophysical data. I develop practical computational tools for simulating surveys, evaluating acquisition strategies, and interpreting potential-field and gamma-ray spectrometry datasets.
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Survey design, acquisition assessment, flight-data synchronization, quality control, and interpretation of UAV magnetic and radiometric datasets. |
Forward modelling and three-dimensional inversion of gravity, magnetic, and radiometric data using Python, MATLAB, and in-house numerical codes. |
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Investigation of detector footprint, counting statistics, terrain effects, flight height, and acquisition geometry in UAV radiometric surveys. |
Integration of radiometric, magnetic, spatial, and geological information for lithological mapping and geological interpretation. |
- Developing RadSIMU, a physics-based survey simulation framework for UAV gamma-ray spectrometry.
- Building forward-modelling and inversion workflows for gravity and magnetic data.
- Evaluating the influence of flight altitude, line spacing, detector footprint, and sampling density on survey resolution.
- Investigating counting statistics, acquisition-related noise, and uncertainty in radiometric measurements.
- Applying spatially validated machine-learning methods to lithological mapping using magnetic and radiometric data.
| Project | Description | Access |
|---|---|---|
| Drone-Geophysics | Processing, visualization, and analysis workflows for UAV magnetic and radiometric data. | Public |
| RadSIMU | Physics-based simulation framework for evaluating UAV gamma-ray spectrometry surveys. | Research |
| 3D Inversion Workflows | Python and MATLAB workflows for gravity and magnetic forward modelling and inversion. | Research |
| Radiometric Noise Diagnostics | Methods for analysing counting statistics, acquisition noise, and survey-related uncertainty. | Research |
Some research codes and datasets are not publicly available because they are associated with ongoing publications, collaborations, or restricted datasets.
| Programming | Python, MATLAB |
| Scientific Computing | NumPy, SciPy, pandas |
| Modelling and Inversion | SimPEG, Fatiando a Terra, MAG3D, in-house numerical codes |
| Geophysical Processing | Oasis Montaj, magnetic and radiometric data processing, quality control |
| GIS and Remote Sensing | QGIS, ENVI, geospatial data processing |
| Research Methods | Forward modelling, inversion, simulation, uncertainty analysis, machine learning |
| 2021–Present |
PhD in Geological Sciences Queen's University, Canada |
| 2018–2020 |
M.Tech in Geological Technology Indian Institute of Technology Kanpur, India |
| 2013–2017 |
B.Tech in Geoscience Engineering UPES Dehradun, India |
| AGU 2024 | Spectral processing and terrain effects in UAV gamma-ray spectrometry |
| SEG 2024 | RadSIMU: A simulation framework for UAV radiometric surveys |
| CGU 2024 | Three-dimensional inversion of gravity and magnetic data |
For research discussions and collaborations related to UAV geophysics, gamma-ray spectrometry, potential-field methods, modelling, or inversion: