A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic.

The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models which can estimate the impact of these measures while accounting for the highly heterogeneous risk profile of COVID-19.Models accounting either for age structure or the hou

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Multimodal Biometric Fusion: Performance under Spoof Attacks

Biometrics is essentially a pattern recognition system that recognizes an individual using their unique anatomical or behavioral patterns such as face, fingerprint, iris, signature etc.Recent researches have shown that many biometric traits are vulnerable to spoof attacks.Moreover, recent works showed that, contrary to a common belief, multimodal b

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