Jimiama Mosima Mafeni Mase
Jimiama is a PhD candidate specialised in the development of accurate, fair, reliable, and explainable AI solutions using state-of-the-art machine learning and computational intelligence techniques. His PhD explores the use of domain experts in the development of context-aware intelligent systems. His interests include model optimisation, data modelling, information fusion, computer vision, anomaly detection, capturing uncertainty, error analysis, and explainable AI.
Context-Aware Intelligent Decisions: Risk Assessment of HGV Driving Behaviours
Please access my publications via Google Scholar here.