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
Ateneo (ATENEO)
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
- 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