Archivio Istituzionale della RicercaPOLLO, GIOVANNI
POLLO, GIOVANNI
Dipartimento di Automatica e Informatica
053267
Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach
In corso di stampa Albu, Andrei Mihai; Pollo, Giovanni; Burrello, Alessio; Jahier Pagliari, Daniele; Tesconi, Cristian; Neri, Alessandra; Soldi, Dario; Autieri, Fabio; Vinco, Sara
Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design
2025 Pollo, Giovanni; Albu, Andrei Mihai; Burrello, Alessio; Pagliari, Daniele Jahier; Tesconi, Cristian; Panaro, Loris; Soldi, Dario; Autieri, Fabio; Vinco, Sara
Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction
2025 Pollo, Giovanni; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; Pagliari, Daniele Jahier
MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design
2025 Pollo, Giovanni; Hamdi, Mohamed Amine; Risso, Matteo; Ruotolo, Lorenzo; Furbatto, Pietro; Isoldi, Matteo; Chen, Yukai; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele; Vinco, Sara
Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices
2024 Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele
Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables
2024 Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele
Model-Driven Dataset Generation for Data-Driven Battery SOH Models
2023 Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele Jahier; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, Sara
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Integrating SystemC TLM into FMI 3.0 Co-Simulations with an Open-Source Approach / Albu, Andrei Mihai; Pollo, Giovanni; Burrello, Alessio; Jahier Pagliari, Daniele; Tesconi, Cristian; Neri, Alessandra; Soldi, Dario; Autieri, Fabio; Vinco, Sara. - (In corso di stampa). (Intervento presentato al convegno Design and Verification Conference and Exhibition Europe tenutosi a Munich (DEU) nel October 14-15, 2025). | In corso di stampa | Andrei Mihai AlbuGiovanni PolloAlessio BurrelloDaniele Jahier PagliariSara Vinco + | 2508.20223v1.pdf |
| Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design / Pollo, Giovanni; Albu, Andrei Mihai; Burrello, Alessio; Pagliari, Daniele Jahier; Tesconi, Cristian; Panaro, Loris; Soldi, Dario; Autieri, Fabio; Vinco, Sara. - (2025), pp. 1-9. (Intervento presentato al convegno Forum on specification & Design Languages (FDL) 2025 tenutosi a St. Goar (DEU) nel 10-12 September 2025) [10.1109/fdl68117.2025.11165273]. | 1-gen-2025 | Pollo, GiovanniAlbu, Andrei MihaiBurrello, AlessioPagliari, Daniele JahierVinco, Sara + | Automatic_integration_of_SystemC_in_the_FMI_standard_for_Software-defined_Vehicle_design.pdf; 2508.19665v1.pdf |
| Coupling Neural Networks and Physics Equations For Li-Ion Battery State-of-Charge Prediction / Pollo, Giovanni; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; Pagliari, Daniele Jahier. - (2025), pp. 1-7. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition tenutosi a Lyon (FRA) nel 31 March 2025 - 02 April 2025) [10.23919/date64628.2025.10993233]. | 1-gen-2025 | Pollo, GiovanniBurrello, AlessioMacii, EnricoPoncino, MassimoVinco, SaraPagliari, Daniele Jahier | Coupling_Neural_Networks_and_Physics_Equations_For_Li-Ion_Battery_State-of-Charge_Prediction.pdf; 2412.16724v1.pdf |
| MEbots: Integrating a RISC-V Virtual Platform with a Robotic Simulator for Energy-aware Design / Pollo, Giovanni; Hamdi, Mohamed Amine; Risso, Matteo; Ruotolo, Lorenzo; Furbatto, Pietro; Isoldi, Matteo; Chen, Yukai; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele; Vinco, Sara. - (2025). (Intervento presentato al convegno ISLPED 2025 IEEE/ACM International Symposium on Low Power Electronics and Design tenutosi a Reykjavik (ISL) nel August 6 - 8, 2025). | 1-gen-2025 | Giovanni PolloMohamed Amine HamdiMatteo RissoLorenzo RuotoloAlessio BurrelloEnrico MaciiMassimo PoncinoDaniele Jahier PagliariSara Vinco + | 2505.16682v1.pdf |
| Integrating SystemC-AMS power modeling with a RISC-V ISS for virtual prototyping of battery-operated embedded devices / Hamdi, MOHAMED AMINE; Pollo, Giovanni; Risso, Matteo; Haugou, Germain; Burrello, Alessio; Macii, Enrico; Poncino, Massimo; Vinco, Sara; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 51-54. (Intervento presentato al convegno Computing Frontiers Open-Source Hardware Workshop tenutosi a Ischia (ITA) nel May 7 - 9, 2024) [10.1145/3637543.3652873]. | 1-gen-2024 | Mohamed Amine HamdiGiovanni PolloMatteo RissoAlessio BurrelloEnrico MaciiMassimo PoncinoSara VincoDaniele Jahier Pagliari + | 2404.01861.pdf; 3637543.3652873.pdf |
| Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables / Burrello, Alessio; Carlucci, Francesco; Pollo, Giovanni; Wang, Xiaying; Poncino, Massimo; Macii, Enrico; Benini, Luca; JAHIER PAGLIARI, Daniele. - (2024), pp. 1-5. (Intervento presentato al convegno Biomedical Circuits and Systems Conference (BIOCAS) 2024 tenutosi a Xi'an (CHN) nel 24-26 October 2024) [10.1109/BioCAS61083.2024.10798404]. | 1-gen-2024 | Alessio BurrelloGiovanni PolloMassimo PoncinoEnrico MaciiLuca BeniniDaniele Jahier Pagliari + | PPG_BP_BioCAS2024.pdf; Optimization_and_Deployment_of_Deep_Neural_Networks_for_PPG-based_Blood_Pressure_Estimation_Targeting_Low-power_Wearables.pdf |
| Model-Driven Dataset Generation for Data-Driven Battery SOH Models / Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele Jahier; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, Sara. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244587]. | 1-gen-2023 | Sidahmed Alamin, Khaled SidahmedDaghero, FrancescoPollo, GiovanniPagliari, Daniele JahierChen, YukaiMacii, EnricoPoncino, MassimoVinco, Sara | Model-Driven_Dataset_Generation_for_Data-Driven_Battery_SOH_Models.pdf; Model-Driven_Dataset_Generation_for_Data-Driven_Battery_SOH_Models.pdf |