Rosario Milazzo

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38^th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

rosario.milazzo@polito.it

Profile

PhD

Research topic

Robust, accurate and efficient deep neural networks for satellite and mobility applications

Tutors

Research presentation

Poster

Research interests

Data science, Computer vision and AI

Biography

Rosario Milazzo obtained his bachelor’s degree in Computer Engineering from Politecnico di Torino in 2020 and completed his master’s degree in 2022. After graduating, he joined the GRAINS research group in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino as a scholarship holder. In February 2023, he was selected as a PhD candidate in Computer Engineering, funded by NODES (Nord Ovest Digitale e Sostenibile). His research primarily focuses on optimizing and enhancing the fault tolerance of neural networks for mobility and satellite applications. As computing platforms in vehicles and satellites become increasingly powerful, deploying deep learning applications in these domains is now feasible. However, this requires deep neural networks that maintain high accuracy, efficiency, and resilience even under transient faults, such as radiation-induced errors. His research aims to ensure that deep neural networks in these applications meet these requirements.

Teaching

Teachings

Master of Science

Gestione dell'innovazione e sviluppo prodotto ICT. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
Gestione dell'innovazione e sviluppo prodotto ICT. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
Gestione dell'innovazione e sviluppo prodotto ICT. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso

MostraNascondi A.A. passati

Research

Research groups

GRAINS - GRAphics and INtelligent Systems (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Manigrasso, Francesco; Milazzo, Rosario; Russo, Alessandro; Lamberti, Fabrizio; Strand, ... (2025)
Mammography classification with multi-view deep learning techniques: investigating graph and transformer-based architectures. In: MEDICAL IMAGE ANALYSIS, vol. 99. ISSN 1361-8415
Contributo su Rivista
Milazzo, Rosario; De Marco, Vincenzo; De Sio, Corrado; Fosson, Sophie; Morra, Lia; ... (2024)
On the Fault Tolerance of Self-Supervised Training in Convolutional Neural Networks. In: 27th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, Kielce (Polonia), 3-5 April 2024, pp. 110-115. ISBN: 979-8-3503-5934-3
Contributo in Atti di Convegno (Proceeding)
Bianco, Selene; Corcione, Valeria; Maragliano, Matteo; Chiara Rodi, Giovanna; Marangoni, ... (2024)
EASTERN project: Earth observation models for weather event mitigation. In: SPAICE Conference on AI in and for Space, London (UK), 17 – 19 September 2024, pp. 318-322
Contributo in Atti di Convegno (Proceeding)
Aicardi, Irene; Angeli, Stefano; Milazzo, Rosario; Lingua, Andrea Maria; Angela Musci, ... (2020)
A Python Customization of Metashape for Quasi Real-Time Photogrammetry in Precision Agriculture Application. In: R3 in Geomatics: Research, Results and Review / S.N., S.L., Springer, pp. 229-243. ISBN: 978-3-030-62799-7
Contributo in Volume

Society and Enterprise

Patents and other intellectual properties

Deep Neural Networks For Multi-View Mammography Classification. national Patent
Inventors: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo