Gabriele Scaffidi Militone

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)

gabriele.scaffidi@polito.it

Profile

PhD

Research topic

Cloud continuum machine learning

Tutors

Research interests

Data science, Computer vision and AI

Parallel and distributed systems, Quantum computing

Biography

Gabriele Scaffidi Militone earned his Master’s Degree in Computer Engineering from Politecnico di Torino in 2023, graduating with 110 cum laude. Through the Cloud Computing and Computer Networks track, part of the Master’s curriculum, and his thesis on Development of a Microservice for Data Storage, he developed a deep interest in distributed systems and cloud applications. Currently, he is a PhD student with the DBDM research group and a member of the SmartData@PoliTO research center. His research focuses on advancing cloud continuum frameworks, with a primary goal of integrating machine learning techniques to enhance scalability and efficiency in this area.
Beyond academia, he is actively engaged in the cultural and artistic life around him, approaching each new challenge with curiosity and enthusiasm.

Teaching

Teachings

Master of Science

Web Applications II. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Mobile application development. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Web Applications II. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

MostraNascondi A.A. passati

Research

Research groups

DBDM - Database and Data Mining Group (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

REGE CAMBRIN, Daniele; SCAFFIDI MILITONE, Gabriele; Colomba, Luca; Malnati, Giovanni; ... (In stampa)
Level Up Your Tutorials: VLMs for Game Tutorials Quality Assessment. In: CV2: Computer Vision for Videogames Workshop at ECCV2024, Milano (Italy), 29/09/2024
Contributo in Atti di Convegno (Proceeding)
Scaffidi Militone, Gabriele; Apiletti, Daniele; Malnati, Giovanni (2024)
Hermes, a low-latency transactional storage for binary data streams from remote devices. In: DATA & KNOWLEDGE ENGINEERING, vol. 153. ISSN 0169-023X
Contributo su Rivista
Militone, Gabriele Scaffidi; Apiletti, Daniele; Malnati, Giovanni (2023)
Combining fault-tolerant persistence and low-latency streaming access to binary data for AI models. In: 2023 IEEE International Conference on Big Data (BigData), Sorrento (IT), 15/12/2023 - 18/12/2023, pp. 3149-3153. ISBN: 979-8-3503-2445-7
Contributo in Atti di Convegno (Proceeding)