Scottish Alliance for Geoscience, Environment and Society

Kwetishe Danjuma

Research interests:

Fluvial Sedimentology, Fluvial Geomorphology and Remote Sensing

Career history:

Lecturer – Modibbo Adama University of Technology, Yola Nigeria 2012 – Date
Software Technical Writer (STW) – BizzDesk Global Solution Limited, Abuja Nigeria 2011 – 2012

• University of Glasgow, UK
PhD in Earth Sciences (Research) 2020 – Date
• University of Ibadan (UI), Ibadan
Master of Science (MSc.) in Computer Science 2013 – 2015
• Federal University of Technology, Yola
Bachelor of Technology (BTech.) in Computer Science 2002 – 2008

Active research projects:

Automated Quantified Analysis of Distributive Fluvial System (DFS)

This research takes an automated quantified analysis approach by applying a variety of methods and tools (e.g., Google Earth Engine, Python/JavaScript, QGIS, machine learning and digital outcrop models and wireline data) to refine and develop generalised models applicable to both modern and ancient fluvial systems in assessing reservoir quality at the bar to system scale (e.g., bar, channel body, and lobe scales).

Recent publications:


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