Caroline Morais

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I have been working in the industry for 10 years, most of the time in Oil & Gas. Opting to pursue a PhD and therefore stepping back in my industry career turned out to be necessary, as I had lots of questions related to Human Factors accumulated throughout those years in Safety Inspections and Accident Investigation. Here in the Risk Institute, I receive specialised support on how to find out the risks and uncertainties of my area of interest, using probabilistic and uncertainty quantification tools to systematise the state of the art and my ideas. My research is on Human Reliability in Engineering.

Research Interests

Engineering (Medical, Aerospace, Civil, Mechanical, Biological, Software, etc.), Psychology, Cognitive Science

Research project title: Modelling Human Reliability in the Design Phase

Project description: The aim of the research is to understand which factors impact the performance of engineers and decision makers during the desigh phase, using existing methods of Human Reliability Analysis (HRA).
However, there is a lack of data of factors for the desigh phase - as the focus of research is on data of the operational phase.
For this reason, this research also have a second objective running in parallel: to enhace the state-of-the-art of Human Reliability Analysis (HRA) in the operational phase, providing HRA community with Human Error Probabilities (HEP) based on data extracted from investigation reports of major accidents.
The hypothesis is that this kind of operational data is better than simulating data (from control room simulation) and expert judgement.
The probabilistic tool used is the Bayesian network.

Supervisory team: Edoardo Patelli, Michael Beer, Raphael Moura

ORCID: 0000-0002-9329-4110