OUR SUCCESSES
RESEARCH & OPEN LEARNINGResearch shared.
Learning made open.
At engineering.fit( ), progress takes shape in the work we publish and the opportunities we open for others. Here is what we are building together.
Our research brings machine learning to questions in energy, the environment, health, and industry.
Energy Conference paper
Comparing statistical, machine learning, and deep learning models to forecast Nigeria’s oil and condensate production using terminal-level data.
SPE Nigeria Annual International Conference and Exhibition
SPE-235028-MS · 2026
Energy Conference paper
Using production data and an ensemble of forecasting models to explore gas utilisation, revenue, and flaring-reduction scenarios in Nigeria.
SPE Nigeria Annual International Conference and Exhibition
SPE-235029-MS · 2026
Health Journal article
Studying how walking speed changes the phases of a step, and using movement and force signals to classify those phases for gait research.
European Journal of Applied Science, Engineering and Technology
Volume 3, issue 5, pages 17–31 · 2025
Environment Conference paper
Exploring image-based oil spill detection with compact neural networks designed for use on mobile and edge devices.
SPE Nigeria Annual International Conference and Exhibition
D021S009R004 · 2025
Industry Conference paper
Investigating spiking neural networks for detecting hydraulic system faults using historical sensor measurements from a test rig.
SPE Nigeria Annual International Conference and Exhibition
D031S022R007 · 2025
Energy Journal article
Comparing ensemble learning methods to predict fuel cell impedance and better understand how operating conditions affect performance.
Scientia. Technology, Science and Society
Volume 2, issue 8, pages 73–86 · 2025
Each entry links to its publication record. Full-text access depends on the publisher. Research findings describe the studies reported in the papers.
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