Research Interests
Open to PhD applications in areas such as
- Foundation of machine learning: contextual probability inspired statistical modelling - a deep learning approach, and its application e.g. digital twins.
- Machine learning: detection learning that aims to learn signatures of objects of interest, and its applications in food authentication, virus detection, medical image analysis (disease imaging biomarker).
- Knowledge representation and reasoning: ontological competency modelling and automated competency-based assessment.
Public outreach & key achievements
- ECIT/DSSC
Research students
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- Faculty of Engineering and Physical Science
- School of Electronics, Electrical Engineering and Computer Science