Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)
Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)
Profile
PhD
Research topic
Design techniques for low-area digital circuits in industrial and medical applications
Tutors
Research interests
Biography
Teaching
Teachings
Bachelor of Science
- Tecniche di programmazione. A.A. 2024/25, INGEGNERIA INFORMATICA. Collaboratore del corso
- Tecniche di programmazione. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
Research
Research groups
Publications
PoliTO co-authors
Last years publications
Publications by type
Latest publications View all publications in Porto@Iris
- Albu, Andrei Mihai; Pollo, Giovanni; Burrello, Alessio; Jahier Pagliari, Daniele; ... (In stampa)
Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach. In: Design and Verification Conference and Exhibition Europe, Munich (DEU), October 14-15, 2025
Contributo in Atti di Convegno (Proceeding) - Pollo, Giovanni; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; ... (2025)
Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction. In: Design, Automation and Test in Europe Conference and Exhibition, Lyon (FRA), 31 March 2025 - 02 April 2025, pp. 1-7. ISBN: 978-3-9826741-0-0
Contributo in Atti di Convegno (Proceeding) - Pollo, Giovanni; Albu, Andrei Mihai; Burrello, Alessio; Pagliari, Daniele Jahier; ... (2025)
Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design. In: Forum on specification & Design Languages (FDL) 2025, St. Goar (DEU), 10-12 September 2025, pp. 1-9. ISBN: 979-8-3315-9379-7
Contributo in Atti di Convegno (Proceeding) - Pollo, Giovanni; Hamdi, Mohamed Amine; Risso, Matteo; Ruotolo, Lorenzo; Furbatto, ... (2025)
MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design. In: ISLPED 2025 IEEE/ACM International Symposium on Low Power Electronics and Design, Reykjavik (ISL), August 6 - 8, 2025
Contributo in Atti di Convegno (Proceeding) - Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, ... (2024)
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. In: Biomedical Circuits and Systems Conference (BIOCAS) 2024, Xi'an (CHN), 24-26 October 2024, pp. 1-5. ISBN: 979-8-3503-5495-9
Contributo in Atti di Convegno (Proceeding)