Dr Peter Green (PG) became a lecturer in Uncertainty and Engineering at the UoL in 2015. His background is in structural dynamics, but he now develops uncertainty quantification and machine learning methods for engineering disciplines.
PG obtained a MEng degree at the University of Sheffield before undertaking a PhD in nonlinear structural dynamics (2009-2012). In 2012, he won an EPSRC/University of Sheffield 1-year fellowship to study probabilistic modelling methods. He was then employed on the EPSRC Programme Grant ‘Engineering Nonlinearity’ (EP/K003836). Here, his research grew to encompass machine learning methods for engineering applications.
His current research sits between Big Data analytics, Machine Learning and multiple engineering disciplines. Application projects include span: data-based control strategies for Additive Manufacturing, machine-learnt rotorcraft dynamics models for deployment in flight simulators, robust optimisation of ship scheduling problems under uncertain weather conditions, characterising the risk of disproportionate collapse for cable-stayed bridges and analysing the robustness of structures subjected to blasts. Fundamental research addresses decision-making from large datasets and the validation of models in situations where data is sparse.
Other Personal Distinctions
- Member of the EPSRC Associate College. (EPSRC, 2018)