Hamza received his MEng in Electrical & Electronic Engineering from Imperial College London in 2012, and his DPhil in the Communications and Signal Processing group in 2017, from the same institute. His doctoral research focussed on modelling and mitigating the impact of degradative processes on audio signals, the latter through the development of signal enhancement algorithms in the spherical harmonic domain.
Hamza's research interests include the acquisition and enhancement of noisy signals, with particular interest in biomedical signal processing and machine learning for healthcare applications.
Within the Computational Health Informatics group, Hamza is part of the ESPRC funded ASPIRE project as part of a joint collaboration with Information Engineering, collaborating with Professor Steve Roberts and Professor Michael Osborne. This research programme aims to develop intelligent health monitoring systems capable of predicting patient well-being, using data acquired from wearable sensors and past medical history.