Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)
Adjunct lecturer/Adjunct instructor
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Innovative LDPC real-time decoder architectures for critical applications.
Tutors
Keywords
Biography
Vincenzo Petrolo, a graduate in Computer Engineering from Politecnico di Torino, is currently a Ph.D. student in Electrical, Electronics, and Communications Engineering. He earned a master's degree cum laude in Computer Engineering with a thesis on an innovative machine learning model for the generation of test patterns on digital circuits (ATPG). Additionally, he completed a master's degree in Electrical and Computer Engineering at the University of Illinois Chicago, where he served as a Research Assistant.
Vincenzo actively contributed to the Cognisense project for the Semiconductor Research Corporation (SRC), enhancing performance on Analog-Mixed Signal (AMS) circuit simulators through machine learning. His research interests encompass digital design of integrated systems, machine learning, and Electronic Design Automation (EDA).
Vincenzo actively contributed to the Cognisense project for the Semiconductor Research Corporation (SRC), enhancing performance on Analog-Mixed Signal (AMS) circuit simulators through machine learning. His research interests encompass digital design of integrated systems, machine learning, and Electronic Design Automation (EDA).
Teaching
Teachings
Master of Science
- Workshop "SoC Verification Strategies". A.A. 2025/26, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Workshop "SoC Verification Strategies". A.A. 2024/25, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Digital Electronics. A.A. 2024/25, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Challenge@PoliTo by Firms - NODES Spoke 7/TOSA. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
Bachelor of Science
- Digital systems electronics. A.A. 2025/26, INGEGNERIA ELETTRONICA. Collaboratore del corso
Research
Research Areas/Fields/Groups
Publications
Latest publications View all publications in Porto@Iris
- Giuffrida, Luigi; Dolmeta, Alessandra; Naclerio, Alessio; Piscopo, Valeria; Mirigaldi, ... (2026)
PolHEEPo: A 65 nm 6mm2 RISC-V SoC Filling the Gap Between Cloud and Edge Computing. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS, pp. 1-1. ISSN 1549-7747
Contributo su Rivista - Petrolo, Vincenzo; Guella, Flavia; Caon, Michele; Masera, Guido; Martina, Maurizio (2025)
Stop Wasting your Cache! Bringing Machine Learning into Cache Computing. In: 22nd ACM International Conference on Computing Frontiers 2025, CF 2025, ita, 2025, pp. 86-89
Contributo in Atti di Convegno (Proceeding) - Petrolo, Vincenzo; Guella, Flavia; Caon, Michele; Schiavone, Pasquale Davide; Masera, ... (2025)
ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions. In: 62nd ACM/IEEE Design Automation Conference (DAC 2025), San Francisco (USA), 22-25 June 2025, pp. 1-6. ISBN: 979-8-3315-0304-8
Contributo in Atti di Convegno (Proceeding) - Caon, Michele; Petrolo, Vincenzo; Mirigaldi, Mattia; Guella, Flavia; Masera, Guido; ... (2024)
Seeing Beyond the Order: a LEN5 to Sharpen Edge Microprocessors with Dynamic Scheduling. In: 21st ACM International Conference on Computing Frontiers, Ischia (Italy), May 7 - 9, 2024, pp. 47-50. ISBN: 9798400704925
Contributo in Atti di Convegno (Proceeding) - Petrolo, Vincenzo; Medya, Sourav; Graziano, Mariagrazia; Pal, Debjit (2024)
DETECTive: Machine Learning-driven Automatic Test Pattern Prediction for Faults in Digital Circuits. In: Proceedings of the Great Lakes Symposium on VLSI 2024, Clearwater (USA), June 12-14, 2024, pp. 32-37
Contributo in Atti di Convegno (Proceeding)