Federico Boscolo

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39^th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

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

federico.boscolo@polito.it

Profile

PhD

Research topic

Novel algorithms and synthetic dataset creation for face and body pose recognition in the wild applied in cockpit emergency access

Tutors

Fabrizio Lamberti
Franck Guillemard

Research interests

Data science, Computer vision and AI

Biography

I earned my Master's Degree in Computer Engineering from Politecnico di Torino, specializing in Artificial Intelligence and Data Analytics. In 2023, I started my PhD program in Computer and Control Engineering, working within the GRaphics And INtelligent Systems (GRAINS) research group. My research focuses on artificial intelligence and machine learning algorithms applied to biometrics and person recognition at a distance. Specifically, I work on biometric recognition systems using face and gait, their fusion to enhance performance, and their integration into automotive vehicles.

Teaching

Teachings

Bachelor of Science

Computer architecture. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Computer architecture. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). 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

Boscolo, Federico; Lamberti, Fabrizio; Borodani, Pandeli; Canineo Komar, Vitor (In stampa)
Performance evaluation of 3D Human Pose Estimation algorithms for skeleton-based gait recognition. In: 2025 IEEE Symposium on Computational Intelligence in Image, Signal Processing and Synthetic Media Companion, Trondheim (NOR), March 17-20, 2025
Contributo in Atti di Convegno (Proceeding)
Boscolo, Federico; Lamberti, Fabrizio; Morra, Lia (2024)
Analyzing the performance of Deep Learning-based techniques for Human Pose Estimation. In: IEEE International Workshop on Sport Technology and Research (STAR), Lecco (ITA), 08-10 July 2024, pp. 193-198. ISBN: 979-8-3503-5145-3
Contributo in Atti di Convegno (Proceeding)

Society and Enterprise

Patents and other intellectual properties

Procedimento per attivare una funzione di un veicolo mediante dati biometrici e corrispondente veicolo. national Patent
Inventors: Federico Boscolo Fabrizio Lamberti