My research expertise is in Signal and Information Processing (inc. AI technologies and machine learning), with focus on representation, processing, temporal and spatial information mining, and data management for a range of signal types acquired from sensors.  My key strength is in extracting meaningful information from real data, including electrical, seismic, health/biological and other environmental sensor data, developing algorithms to handle dynamic and complex data that is often sparse, noisy, heterogeneous and multimodal, gathered from distributed sources. My research is multi-disciplinary by nature and has a strong focus on tackling emerging challenges pertaining to climate change and United Nations Sustainable Development Goals, working closely with international collaborators and non-academic stakeholders to lead innovation in the field. 

My work is particularly aligned with the following university strategic research themes (Measurement Science & Enabling Technologies, Energy, Health & Well-Being)

I am currently Deputy Head of Department Learning & Teaching. 

Signal information processing with application to the following problems:

• Non-intrusive load monitoring (NILM), load profiling and disaggregation, activity recognition and anomaly detection from smart meter data (Energy)
• Downstream benefits of NILM for the built environment, agriculture and transport inc. EV (Innovation and Industry)
• Landslide mitigation and informing geothermal extraction through micro-seismic event analysis (Geosciences)
• Motion capture and person-centric kinematrics analysis using portable depth and infrared camera systems (Health & Wellbeing)

• Smart meter energy analytics, including load disaggregation, prediction and profiling
• AI for the Decarbonisation of the Built Environment, Agriculture and Transport 
• Environmental impact assessment of consumption cycle of Food Systems and Appliances inc. Electric Vehicles
• Detecting, classifying, understanding and characterising subsurface processes arising from natural slopes for landslide mitigation and human activities, such as geothermal extraction
• Model-fitting/system characterisation
• Sensor deployment and data acquisition

PhD and BEng (Hons) in Electronic Communication Systems from Lancaster University

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