Enhancing Safety and Human Reliability through Data-Driven and NLP Innovations

Activity: Examination typesExamination

Description

This thesis explores the development and application of innovative algorithmic, data- driven, machine learning, and natural language processing (NLP) tools designed to enhance Human Reliability Analysis (HRA) in critical sectors such as nuclear power, aviation, and oil and gas. Motivated by identified challenges and opportunities in these industries, a suite of advanced tools was created to address key aspects of safety analysis and management.
Period23 Sept 2024
ExamineeKarl Johnson
Examination held at
Degree of RecognitionInternational