Real-world vehicle emission measurement using remote sensing, mobile monitoring, and plume regression techniques
Open-source tools for air quality data analysis in R, used by thousands of researchers worldwide
Statistical and machine learning methods for source characterisation, trend detection, and quantifying the effects of air quality interventions
Mobile monitoring of air pollutants and volatile organic compounds to characterise urban emission sources and their spatial variability
