Moad al-Dbissi
A researcher with a PhD in Nuclear Engineering and more than six years of research experience in spent nuclear fuel analysis, Monte Carlo simulations, reactor physics, machine learning models, radiation detection, and nuclear safeguards. Experienced in developing computational methods for complex nuclear engineering problems involving criticality, depletion, and external source calculations, uncertainty analysis, statistical evaluation, and AI-driven predictive models.
Showing 7 publications
Reconstructing patterns of missing fuel pins in PWR spent nuclear fuel assemblies via CNNs
On the use of neutron flux gradient with ANNs for the detection of diverted spent nuclear fuel
Investigation of a Methodology for the Detection of Diversions in Spent Nuclear Fuel
Conceptual design and initial evaluation of a neutron flux gradient detector
Ringhals Diagnostics and Monitoring, Annual Research Report 2021-2022
Developments toward a novel methodology for spent nuclear fuel verification
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