Ph.D. candidate in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 39th cycle (2023-2026)
Department of Electronics and Telecommunications (DET)
Docente esterno e/o collaboratore didattico
Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)
Profile
PhD
Research topic
Innovative LDPC real-time decoder architectures for critical applications.
Tutors
Research interests
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
- Digital Electronics. A.A. 2024/25, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
- Workshop "SoC Verification Strategies" . A.A. 2023/24, 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
Publications
Latest publications View all publications in Porto@Iris
- 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)