Foto del docente

Luca De Marchi

Associate Professor

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

Academic discipline: IINF-01/A Electronics

Coordinator of PhD Programme in Engineering and Information Technology for Structural and Environmental Monitoring and Risk Management – EIT4SEMM

Publications

Zonzini, Federica; Bogomolov, Denis; Dhamija, Tanush; DE MARCHI, Luca; Marzani, Alessandro, Artificial Intelligence Algorithms for Time of Arrival Estimation in Acoustic Emission Signals, in: Sicurezza e affidabilità delle attrezzature a pressione 2021, 2021, pp. 1 - 8 (atti di: Sicurezza e affidabilità delle attrezzature a pressione 2021, Online, 16-18 Novembre 2021) [Contribution to conference proceedings]

Federica Zonzini; Alberto Girolami; Luca De Marchi; Alessandro Marzani; Davide Brunelli, Cluster-based Vibration Analysis of Structures with GSP, «IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS», 2021, 68, pp. 3465 - 3474 [Scientific article]Open Access

Zauli, Matteo; Zonzini, Federica; Testoni, Nicola; Marzani, Alessandro; De Marchi, Luca, Compressive Sensing and On-Board Data Recovery for Vibration–Based SHM, in: European Workshop on Structural Health Monitoring, 2021, 127, pp. 327 - 334 (atti di: EWSHM 2020: European Workshop on Structural Health Monitoring, Online, Online) [Contribution to conference proceedings]

Zonzini, Federica; Romano, Francesca; Carbone, Antonio; Zauli, Matteo; De Marchi, Luca, Enhancing Vibration-Based Structural Health Monitoring via Edge Computing: A Tiny Machine Learning Perspective, in: 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, 2021, pp. 1 - 6 (atti di: 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, Onine, 28-30 07/2021) [Contribution to conference proceedings]

Zonzini, Federica; Zauli, Matteo; Carbone, Antonio; Romano, Francesca; Testoni, Nicola; De Marchi, Luca, Hardware–Oriented Data Recovery Algorithms for Compressed Sensing–Based Vibration Diagnostics, in: ApplePies 2020: Applications in Electronics Pervading Industry, Environment and Society, 2021, 738, pp. 69 - 75 (atti di: International Conference on Applications in Electronics Pervading Industry, Environment and Society, Online, 19-20/11/2020) [Contribution to conference proceedings]

Zonzini, Federica; Zauli, Matteo; Mangia, Mauro; Testoni, Nicola; De Marchi, Luca, HW-Oriented Compressed Sensing for Operational Modal Analysis: The Impact of Noise in MEMS Accelerometer Networks, in: 2021 IEEE Sensors Applications Symposium (SAS), 2021, pp. 1 - 5 (atti di: Sensors Application Sysmposium, Sundsvall, Sweden (Online), 23-25 Agosto 2021) [Contribution to conference proceedings]

Peppi L.M.; Zauli M.; Manfrini L.; Grappadelli L.C.; De Marchi L.; Traverso P.A., Implementation and Calibration of a Low-Cost Sensor Node for High-Resolution, Continuous and No-Manning Recording of Fruit Growth, in: Conference Record - IEEE Instrumentation and Measurement Technology Conference, Institute of Electrical and Electronics Engineers Inc., 2021, 2021-, pp. 1 - 6 (atti di: 2021 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2021, Technology and Innovation Centre (TIC), 2021) [Contribution to conference proceedings]

Zonzini, Federica; Zauli, Matteo; Mangia, Mauro; Testoni, Nicola; De Marchi, Luca, Model-assisted Compressed Sensing for Vibration-based Structural Health Monitoring, «IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS», 2021, 17, Article number: 9318528 , pp. 7338 - 7347 [Scientific article]Open Access

Aguzzi C.; Gigli L.; Sciullo L.; Trotta A.; Zonzini F.; De Marchi L.; Di Felice M.; Marzani A.; Cinotti T.S., MODRON: A scalable and interoperable web of things platform for structural health monitoring, in: 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2021, pp. 1 - 7 (atti di: 18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021, usa, 2021) [Contribution to conference proceedings]

Lambertini A.; Menghini M.; Cimini J.; Odetti A.; Bruzzone G.; Bibuli M.; Mandanici E.; Vittuari L.; Castaldi P.; Caccia M.; De Marchi L., Monitoring and Surveying from an Underwater Vehicle in SUSHI DROP Project, in: 2021 IEEE International Workshop on Metrology for the Sea: Learning to Measure Sea Health Parameters, MetroSea 2021 - Proceedings, IEEE., 2021, pp. 189 - 193 (atti di: 2021 IEEE International Workshop on Metrology for the Sea: Learning to Measure Sea Health Parameters, MetroSea 2021, Virtual Conference Online, 4 - 6 October 2021) [Contribution to conference proceedings]

Márquez Reyes, Octavio A.; Moll, Jochen; Zonzini, Federica; Mohammadgholiha, Masoud; De Marchi, Luca, Quadrature Amplitude Modulation for Acoustic Data Communication in Ultrasonic Structural Health Monitoring Systems, in: 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, 2021, pp. 1 - 7 (atti di: 2021 48th Annual Review of Progress in Quantitative Nondestructive Evaluation, Online, 28-30 07/2021) [Contribution to conference proceedings]

federica zonzini; Matteo zauli; Nicola Testoni; Luca De Marchi, Reti eterogenee di sensori intelligenti per il monitoraggio di attrezzature e impianti, in: Sicurezza e affidabilità delle attrezzature a pressione 2021, 2021, pp. 1 - 8 (atti di: Sicurezza e affidabilità delle attrezzature a pressione 2021, Online, 16-18 Novembre 2021) [Contribution to conference proceedings]

Malatesta, Michelangelo Maria; Bogomolov, Denis; Messina, Marco; D’Ippolito, Dennis; Testoni, Nicola; De Marchi, Luca; Marzani, Alessandro, The Delay Multiply and Sum Algorithm for Lamb Waves Based Structural Health Monitoring, in: European Workshop on Structural Health Monitoring, 2021, 128, pp. 657 - 666 (atti di: European Workshop on Structural Health Monitoring, Palermo, Italy, 4-7 July 2022) [Contribution to conference proceedings]

federica zonzini; francesca romano; antonio carbone; matteo zauli;luca de marchi, TinyML meets vibration-based Structural Health Monitoring: solving a binary classification problem at the edge, in: tinyML EMEA Technical Forum, 2021, pp. 1 - 1 (atti di: tinyML EMEA Technical Forum, Online, 7-10 giugno 2021) [Abstract]

Federica Zonzini; Francesca Romano; Antonio Carbone; Matteo Zauli; Luca De Marchi, Vibration Monitoring at the Extreme Edge via Frequency Domain Decompositions, in: 52nd Annual Meeting of the Associazione Società Italiana di Elettronica (SIE), 2021, pp. 1 - 1 (atti di: 52nd Annual Meeting of the Associazione Società Italiana di Elettronica (SIE),, Trieste, 7-9 Luglio 2021) [Contribution to conference proceedings]