Emanuele Avoledo

Contact Details

Role: PhD Student



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Emanuele received his Master’s degree in Mechanical Engineering from the University of Udine in March 2023. His MSc thesis consisted of a sensitivity analysis of a pre-trained defect-based Physics Informed Neural Network modelled to predict the fatigue life of additive manufactured AlSi10Mg samples.
He is interested in machine learning approaches applied to mechanical problems and in particular in the determination of fatigue behaviour of additively manufactured materials.
In his spare time he enjoys playing in his local band.