Foto del docente

Marcello Zanghieri

PhD Student

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Research fellow

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Teaching tutor

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: ING-INF/01 Electronic Engineering

Publications

Burrello A.; Scherer M.; Zanghieri M.; Conti F.; Benini L., A Microcontroller is All You Need: Enabling Transformer Execution on Low-Power IoT Endnodes, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contribution to conference proceedings]

Conti F., Indirli F., Latella A., Puglia G. M., Tecce F., Urlini G., Zanghieri M., AI-Powered Collision Avoidance Safety System for Industrial Woodworking Machinery, in: Artificial Intelligence for Digitising Industry, Gistrup, River Publishers, 2021, pp. 187 - 204 [Chapter or essay]

Zanghieri M.; Burrello A.; Benatti S.; Schindler K.; Benini L., Low-latency detection of epileptic seizures from IEEG with temporal convolutional networks on a low-power parallel MCU, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contribution to conference proceedings]

Zanghieri M.; Menichetti G.; Retico A.; Calderoni S.; Castellani G.; Remondini D., Node centrality measures identify relevant structural MRI features of subjects with autism, «BRAIN SCIENCES», 2021, 11, Article number: 498 , pp. 1 - 15 [Scientific article]Open Access

Seyedkazemi Ardebili M.; Zanghieri M.; Burrello A.; Beneventi F.; Acquaviva A.; Benini L.; Bartolini A., Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks, in: Proceedings -Design, Automation and Test in Europe, DATE, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1256 - 1259 (atti di: 2021 Design, Automation and Test in Europe Conference and Exhibition, DATE 2021, Europe - Virtual, 2021) [Contribution to conference proceedings]

Zanghieri M.; Benatti S.; Burrello A.; Kartsch Morinigo V.J.; Meattini R.; Palli G.; Melchiorri C.; Benini L., SEMG-based Regression of Hand Kinematics with Temporal Convolutional Networks on a Low-Power Edge Microcontroller, in: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2021, esp, 2021) [Contribution to conference proceedings]

Burrello A.; Dequino A.; Pagliari D.J.; Conti F.; Zanghieri M.; MacIi E.; Benini L.; Poncino M., TCN Mapping Optimization for Ultra-Low Power Time-Series Edge Inference, in: Proceedings of the International Symposium on Low Power Electronics and Design, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1 - 6 (atti di: 2021 IEEE/ACM International Symposium on Low Power Electronics and Design, ISLPED 2021, usa, 2021) [Contribution to conference proceedings]

Burrello A.; Zanghieri M.; Sarti C.; Ravaglia L.; Benatti S.; Benini L., Tackling time-variability in semg-based gesture recognition with on-device incremental learning and temporal convolutional networks, in: 2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 6 (atti di: 2021 IEEE Sensors Applications Symposium, SAS 2021, swe, 2021) [Contribution to conference proceedings]

Zanghieri, Marcello; Benatti, Simone; Burrello, Alessio; Kartsch, Victor; Conti, Francesco; Benini, Luca, Robust Real-Time Embedded EMG Recognition Framework Using Temporal Convolutional Networks on a Multicore IoT Processor, «IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS», 2020, 14, pp. 244 - 256 [Scientific article]Open Access

Zanghieri M.; Benatti S.; Conti F.; Burrello A.; Benini L., Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional Networks, in: Proceedings - 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, Institute of Electrical and Electronics Engineers Inc., 2020, pp. 228 - 232 (atti di: 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, ita, 2020) [Contribution to conference proceedings]

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