Research
Image/Signal Processing, Machine Learning/AI, ML-based IDS, IoT Trust Management, Technology-Enhanced Education and Pedagogical Research
Current research is centred around devising automatic interpretation algorithms for non-destructive testing data, with a particular interest in visual, ultrasonic and radar data. Further interests are in biomedical signal/data processing (e.g. EEG, ECG and DNA data) and driver fatigue detection/prediction. Other research interests include machine/deep learning and AI, machine learning-based intrusion detection systems (IDS) and IoT Trust Management. Special interests in Technology-Enhanced Education and Pedagogical Research.
Member of Signal Processing Research group.