Hollie Black

My research focuses on applying AI techniques to improve accident investigation within the maritime and offshore windfarm domain. This looks specifically at applying natural language processing (NLP) techniques alongside machine learning (ML) and deep learning (DL) to classify the human factors and root causes found within incident reports and incident summaries. This will enable companies to focus more on prevention rather than spending a lot of time and money on the reactive approach of analysing incidents, which can be a very time-consuming process, especially when reviewing reports and applying human factors taxonomies like HFACS or SHIELD. The overarching goal of my research is to create a decision-support tool which can analyse incident reports and suggest the human factors present. The tool still requires human input and opinion but can help reduce the time it would take to analyse incidents, ensuring a higher level of accuracy.