The overall aim of this project is to explore the capacity of deep machine learning techniques to analyse and extract meaningful features from meteorological data, soil moisture sensing data, and plant based sensory data (thermal imaging).
Poor air quality is a global health concern affecting virtually all nations and all of society. It is characterised by harmful levels of tropospheric ozone, nitrogen oxides and particulate matter (e.g.
A full PhD studentship on the multiscale modelling for materials design in Additive Manufacturing (AM). The project is led by Dr Wei Wen (Lecturer) and Professor Pedro Rivera at the Department of Engineering, Lancaster University, in collaboration with LPW.