Gabriel Antal

Dottorando in Ingegneria Gestionale E Della Produzione , 39^o ciclo (2023-2026)
Dipartimento di Ingegneria Gestionale e della Produzione (DIGEP)

Assegnista di Ricerca
Dipartimento di Ingegneria Gestionale e della Produzione (DIGEP)

Docente esterno e/o collaboratore didattico
Dipartimento di Ingegneria Gestionale e della Produzione (DIGEP)

gabriel.antal@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Knowledge-Integrated Machine Learning for the Monitoring of Joining Processes

Tutori

Interessi di ricerca

Advanced manufacturing technologies and systems

Biografia

Gabriel Antal received both his bachelor’s and master’s degrees in Engineering and Management from the Politecnico di Torino. He is currently a Ph.D. candidate in Management and Production Engineering at the same institution. His research interests focus on optimizing, monitoring, and controlling manufacturing processes through the use of artificial intelligence techniques. Among his ongoing case studies are resistance spot welding (RSW) and friction element welding (FEW).

Didattica

Insegnamenti

Corso di laurea magistrale

Analysis and Management of Production Systems. A.A. 2024/25, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Analysis and Management of Production Systems. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso

MostraNascondi A.A. passati

Pubblicazioni

Pubblicazioni più recenti Vedi tutte le pubblicazioni su Porto@Iris

Antal, Gabriel; Razza, Valentino; De Maddis, Manuela (2025)
Frequency domain signal analysis based index for expulsion quantification in resistance spot welding. In: THE INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY. ISSN 1433-3015
Contributo su Rivista
Traini, Emiliano; Antal, Gabriel; Bruno, Giulia; De Maddis, Manuela; Lombardi, Franco; ... (2024)
Hybrid knowledge based system supporting Digital Twins in the Industry 5.0. In: 5th International Conference on Industry 4.0 and Smart Manufacturing, pp. 1471-1480. ISSN 1877-0509
Contributo in Atti di Convegno (Proceeding)
Panza, Luigi; Bruno, Giulia; Antal, Gabriel; DE MADDIS, Manuela; RUSSO SPENA, Pasquale (2024)
Machine learning tool for the prediction of electrode wear effect on the quality of resistance spot welds. In: IJIDEM. ISSN 1955-2505
Contributo su Rivista
Bruno, Giulia; Antal, Gabriel; Traini, Emiliano; De Maddis, Manuela (2024)
Convolutional Neural Network for Quality Monitoring and Predictive Maintenance in Resistance Spot Welding. In: Real-World Applications of AI Innovation / S.N., S.L., IGI Global, pp. 307-330. ISBN: 9798369342527
Contributo in Volume