| 2024 | ICANN | Natively Neuromorphic LMU Architecture for Encoding-Free SNN-Based HAR on Commercial Edge Devices. | Vittorio Fra, Benedetto Leto, Andrea Pignata, Enrico Macii, Gianvito Urgese |
| 2021 | IM | Modeling an Industrial Revolution: How to Manage Large-Scale, Complex IoT Ecosystems? | Gza Kulcsr, Pl Varga, Marek S. Tatara, Federico Montori, Michel A. Iigo, Gianvito Urgese, Paolo Azzoni |
| 2020 | NOMS | An Engineering Process model for managing a digitalised life-cycle of products in the Industry 4.0. | Gianvito Urgese, Paolo Azzoni, Jan van Deventer, Jerker Delsing, Enrico Macii |
| 2019 | DAC | Code Mapping in Heterogeneous Platforms Using Deep Learning and LLVM-IR. | Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva |
| 2018 | CASES | Impact of graph partitioning on SNN placement for a multi-core neuromorphic architecture: work-in-progress. | Francesco Barchi, Gianvito Urgese, Enrico Macii, Andrea Acquaviva |
| 2018 | CASES | Multiple alignment of packet sequences for efficient communication in a many-core neuromorphic system: work-in-progress. | Gianvito Urgese, Luca Peres, Francesco Barchi, Enrico Macii, Andrea Acquaviva |
| 2016 | FDL | Toolchain integration of runtime variability and aging awareness in multicore platforms. | Ramakrishna Venkata Nittala, Francesco Barchi, Gianvito Urgese, Andrea Acquaviva |