My research expertise is in Signal information Processing, with focus on designing 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 strategic research themes of Energy, Health & Well-Being and Measurement Science and Enabling Technologies.

I am also 1st year advisor of studies for the Computer and Electronic Systems degree at Strathclyde.

Signal information processing with application to the following problems:

• Non-intrusive load monitoring, load profiling and disaggregation, activity recognition in smart buildings (Energy and environment)
• Motion capture and person-centric kinematrics analysis using portable depth and infrared camera systems (Health & Wellbeing)
• Micro-seismic event analysis, inc. earthquakes (Geosciences)
• Wireless sensor network solutions for civil infrastructure, such as predicting failure in earthworks (embankments and cuttings) and bridge/scour monitoring
• Water consumption, treatment and infrastructure monitoring

• Graphical-based inference
• Graphical modelling of variables with probabilistic relationships
• Model-fitting/system characterisation
• Predicting energy demand at appliance level
• Sensor deployment and data acquisition

• Senior Member of the IEEE

Current classes:

1st year Engineering Design for Software Development inc. Python programming

4th/5th year Information Transmission and Security, inc. Digital communications principles, channel coding