Rosario Milazzo

Dottorando in Ingegneria Informatica E Dei Sistemi , 38^o ciclo (2022-2025)
Dipartimento di Automatica e Informatica (DAUIN)

Docente a contratto e/o collaboratore didattico
Dipartimento di Automatica e Informatica (DAUIN)

rosario.milazzo@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

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

Tutori

Presentazione della ricerca

Poster

Keywords

Data science, Computer vision and AI

Biografia

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.

Didattica

Insegnamenti

Corso di laurea magistrale

Machine learning for vision and multimedia. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
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

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Milazzo, Rosario; Fosson, Sophie; Morra, Lia; Sterpone, Luca (2026)
Fault tolerant multi-object tracking via temporal consistency filtering. In: 23rd International Conference on Image Analysis and Processing (ICIAP) 2025, Rome (ITA), September 15–19, 2025, pp. 314-326. ISSN 0302-9743. ISBN: 978-3-032-10191-4
Contributo in Atti di Convegno (Proceeding)
Milazzo, Rosario; Fosson, Sophie M.; Morra, Lia; Sterpone, Luca (2025)
Self-supervised pretraining and quantization for fault tolerant neural networks: friend or foe?. In: IEEE ACCESS, vol. 13, pp. 75546-75562. ISSN 2169-3536
Contributo su Rivista
Caretto, Michelangelo; Alliegro, Antonio; Milazzo, Rosario; Aponte, Osmari; Gatti, ... (2025)
A deep learning model to predict GNSS from InSAR data. In: 2nd International Workshop on Computer Vision for Environment Monitoring and Preservation, Rome (Italy), 15-19 September 2025, pp. 339-351. ISSN 0302-9743. ISBN: 978-3-032-11317-7
Contributo in Atti di Convegno (Proceeding)
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
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)

Valorizzazione delle conoscenze

Trasferimento tecnologico

Deep Neural Networks For Multi-View Mammography Classification. Brevetto nazionale e internazionale
Inventori: Francesco Manigrasso Rosario Milazzo Lia Morra Alessandro Sebastian Russo