| 2022 | ICMLA | Physics-Informed Neural Networks for Modeling Cellulose Degradation in Power Transformers. | Federica Bragone, Khaoula Oueslati, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska |
| 2022 | ICMLA | Physics-Informed Neural Networks for prediction of transformer's temperature distribution. | Oliver Welin Odeback, Federica Bragone, Tor Laneryd, Michele Luvisotto, Kateryna Morozovska |
| 2019 | ETFA | Latency Performance of 5G New Radio for Critical Industrial Control Systems. | Xiaolin Jiang, Michele Luvisotto, Zhibo Pang, Carlo Fischione |
| 2018 | IECON | Assessing the Impact of Full-Duplex Wireless in Real-Time Industrial Networks. | Michele Luvisotto, Federico Tramarin, Stefano Vitturi |
| 2018 | IECON | Authentication Based on Channel State Information for Industrial Wireless Communications. | Fei Pan, Zhibo Pang, Michele Luvisotto, Xiaolin Jiang, Roger N. Jansson, Ming Xiao, Hong Wen |
| 2017 | INDIN | Real-time wireless extensions of industrial ethernet networks. | Michele Luvisotto, Alessia Tagliapietra, Stefano Romagnolo, Federico Tramarin, Stefano Vitturi |
| 2016 | IECON | Performance analysis of IEEE 802.11 Rate Selection for Industrial Networks. | Federico Tramarin, Stefano Vitturi, Michele Luvisotto |
| 2016 | WFCS | An innovative approach to rate adaptation in IEEE 802.11 real-time industrial networks. | Federico Tramarin, Stefano Vitturi, Michele Luvisotto |
| 2015 | ETFA | Improved Rate Adaptation strategies for real-time industrial IEEE 802.11n WLANs. | Federico Tramarin, Stefano Vitturi, Michele Luvisotto |
| 2015 | WFCS | Enhancing the real-time behavior of IEEE 802.11n. | Federico Tramarin, Stefano Vitturi, Michele Luvisotto |
| 2015 | WFCS | The IEEE 802.11n wireless LAN for real-time industrial communication. | Federico Tramarin, Stefano Vitturi, Michele Luvisotto, Andrea Zanella |
| 2014 | ETFA | Performance assessment of an IEEE 802.11-based protocol for real-time communication in agriculture. | Federico Tramarin, Stefano Vitturi, Michele Luvisotto, Raffaele Parrozzani |