
معرفی
James Uhomoibhi is a Lecturer in Engineering at the School of Engineering, Ulster University. His work bridges computer science, engineering education, and applied machine learning technologies.
His research interests include:
- Engineering education and curriculum development
- Machine learning applications in spectral data analysis
- Learning analytics dashboards
- Educational technology and virtual laboratories
- Food quality assessment systems
Recent publications demonstrate expertise in deploying miniature spectrometers for food fraud detection, optimizing deep learning models for spectral data, and developing evidence-based educational frameworks. His work aligns with UN Sustainable Development Goals related to quality education and industry innovation.
Current collaborations include:
- KTP Programme with Semple & McKillop Limited
- Research with Sandvik Limited
- European and Global Engineering Education initiatives
He holds a Senior Fellowship at the Higher Education Academy and teaches modules including Engineering Fundamentals and Advanced Medical Sensors.
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