My research expertise is in signal information processing and data science, with a focus on developing and applying time series, signal information processing, and machine learning tools to make sense of raw sensor data. This includes signal and data representation, processing, analysis, communications, and management. My research is aligned with the university's strategic research themes of energy, health, and well-being as well as measurement science and enabling technologies. I am also a first-year advisor of studies for the computer and electronic systems at Strathclyde.