Giulia Fracastoro

Giulia Fracastoro is a Fixed-term Assistant Professor at the Department of Electronics and Telecommunications (DET) of Politecnico di Torino, where she contributes to teaching and research in Systems and Control Engineering (scientific sector IINF-04/A). Her research focuses on Machine Learning, Neural Networks, and Multimedia Signal Processing, with a strong emphasis on Deep Learning and Automatic Control applications.

• Teaching Roles: Course Lecturer for Discrete-Event Models and Systems in Computer Engineering (2021–2025), Automatic Controls in Electronic Engineering (2024–2025), and collaborations on courses like Optimization for Machine Learning.
• Research: Member of the Automatica (DET) research group, supervised PhD student Luca Savant Aira, and contributed to projects involving neural implicit world models, image/video processing, and deep neural network sparsification.

Her publications span topics such as financial network stability, 3D super-resolution, and neural network quantization, reflecting interdisciplinary applications of machine learning. She holds multiple patents for image/video encoding/decoding technologies and has co-authored works with researchers like Enrico Magli and Sophie Fosson.