Dr Ezekiel Yusuf Yenne
- Position: Research Fellow
- Areas of expertise: Remote Sensing/GIS / Surface Geophysics / Data Science
- Email: E.Y.Yenne@leeds.ac.uk
- Website: LinkedIn | Googlescholar | Researchgate
Profile
I am a Visiting Research Fellow at the Institute of Applied Geosciences (IAG) of the School of Earth and Environment. My doctoral research examined and modeled structural architecture of basins using gravity/magnetic and remote sensing techniques. Previously, from 2017 to 2022, I was a field demonstrator/module assistant at the Institute of Applied Geosciences (IAG), University of Leeds.
My research interest is currently focused on the application of deep and machine learning algorithms in modelling geologic structures using airborne-based geophysical and remote sensing datasets.
Responsibilities
- Research
- Demonstrator/Modules Assistant
Research interests
My research interest is focused on the application of deep and machine learning algorithms on airborne-based datasets (gravity, radiometry, magnetics, and remote sensing) for;
- Characterisation of regional geology
- Basement framework delineation
- 2-D and 3-D geological and structural modelling
- Lithospheric and thermal state analyses
Qualifications
- BSc., Geology and Mining
- MTech., Applied Geology (Remote sensing and Geophysics)
- Ph.D., Earth Sciences (Structural Geology with Geophysics)
Professional memberships
- Fellow, Geological Society of London (FGS) 1043160 2022
- Corporate member, Nigeria Mining and Geoscience Society (NMGS) C-11-4612 2011