I am an academic in the Deptartment of Electronic and Electrical Engineering. My research interests are in the industrial application of (deep) machine learning, cybersecurity, and the Internet of Things. I have strong interest in explainable AI (XAI) and hyperparameter optimisation. 

• EE106 Engineering Design for Software Development 1: gentle introduction to computer programming using Python.
• EE320 Signals and Systems: signal processing concepts.
• EE471 Communications Networks: foundation in communication and computer networking concepts and protocols.

My research focusses on the entire data processing pipeline from data collection and storage, through data cleansing, parallelisation of feature extraction approaches, deployable dimensionailty reduction streategies, hyperparameter optiisation and the production of machine learning models.

The work is carried out in tandem with industry, with application areas that include partial discharge localisation, predictive maintenance of moving equipment, intrusion detetcion systems, and deception for cyber resillience. 

I have experience and expertise in the following areas of AI:

• Data cleansing and outlier removal.
• Feature extraction for time-series.
• Dimensionailty reduction techniques.
• Production of (deep) machine learning based models.
• Model optimitisation by selection of the best hyperparameers.
• Data visualisation.
• Explianable models.