Enrico was an PhD student in the H2020 MSCA EU project called DESING-EID. His work mainly focused on aspects related to III-V materials epitaxial growth on silicon, TEM analysis and development of a machine learning algorithm for defect classification. He also worked on the development of a simulation framework to model the electronic and optical properties of individual defects.

Dr. Brugnoletto’s PhD Thesis can be found here