Rossella Ruggieri

Ph.D. candidate in Ingegneria Gestionale E Della Produzione , 40^th cycle (2024-2027)
Department of Management and Production Engineering (DIGEP)

rossella.ruggieri@polito.it

Profile

PhD

Research topic

The research explores the use of artificial intelligence for the analysis of human activities in complex environments, focusing on ergonomics and safety, according to the principles of Industry 5.0.

Tutors

Keywords

Digital twin methods and tools

Human-robot interaction and inclusive manufacturing

Process and system simulations, digital manufacturing

Product design and development

Biography

Rossella Ruggieri earned her master’s degree in Biomedical Engineering in 2024. During her master’s thesis, she spent five months at the University of Technology of Compiègne (UTC), France, conducting research at Heudiasyc Laboratory (Sorbonne University). She is currently enrolled in a joint PhD program between the Polytechnic University of Turin and UTC. Her research focuses on developing Deep Learning solutions for human behavior analysis.

Publications

Latest publications View all publications in Porto@Iris

Ruggieri, Rossella; Marullo, Giorgia; Grandvalet, Yves; Moos, Sandro; Vezzetti, Enrico; ... (2026)
Assessing Physical Ergonomics in Industry 5.0: A Preliminary Deep Learning-Based Approach. In: ADM2025 International Conference, pp. 130-141. ISSN 2195-4356. ISBN: 9783032149497
Contributo in Atti di Convegno (Proceeding)
Marullo, Giorgia; Innocente, Chiara; Ulrich, Luca; Vezzetti, Enrico; Ruggieri, Rossella; ... (2025)
Attrezzatura per la riabilitazione. N. brevetto: 102025000030733, propr. brevetto: Politecnico di Torino
Brevetti
Marullo, Giorgia; Innocente, Chiara; Ulrich, Luca; Lo Faro, Antonio; Porcelli, Annalisa; ... (2025)
Home-based mirror therapy in phantom limb pain treatment: the augmented humans framework. In: MULTIMEDIA TOOLS AND APPLICATIONS. ISSN 1573-7721
Contributo su Rivista
Sperti, Michela; Malavolta, Marta; Staunovo Polacco, Federica; Dellavalle, Annalisa; ... (2021)
Cardiovascular risk prediction: from classical statistical methods to machine learning approaches. In: MINERVA CARDIOLOGY AND ANGIOLOGY, vol. 70. ISSN 2724-5683
Contributo su Rivista

Knowledge Valorisation

Technology transfer

Metodologia per il supporto all'esecuzione autonoma e alla valutazione automatica di esercizi di riabilitazione. national Patent
Inventors: Chiara Innocente Antonio Lo Faro Giorgia Marullo Rossella Ruggieri Luca Ulrich Enrico Vezzetti