Alessandra Amato

Alessandra Amato is a first-year PhD candidate in the National PhD Programme in Artificial Intelligence at the University of Naples Federico II, within the DIETI department. Her research centers on data analysis for control and quality, with a focus on transforming heterogeneous data into reliable evidence to support monitoring, validation, and informed decision-making.

Her work is grounded in three main pillars: advanced data analysis to extract meaningful insights from complex datasets; quality control to ensure data integrity and accurate measurement; and the application of artificial intelligence methods, particularly machine learning, to address real-world challenges. Through this interdisciplinary approach, she aims to enhance the reliability and effectiveness of data-driven systems.