Giulia Marasco - Publications

Refereed Journal Articles

Cronin, L., Sen, D., Marasco, G., Dabbaghchian, I., Benedetti, L., Matarazzo, T., and Pakzad, S. “A roadmap for ubiquitous crowdsourced mobile sensing-based bridge modal identification”, Sensors (2025).

Cronin, L., Sen, D., Marasco, G., Matarazzo, T., and Pakzad, S. “Bridge monitoring using mobile sensing data with traditional system identification techniques”, Computer-Aided Civil and Infrastructure Engineering (2024).

Marasco, G., Moldovan, I., Figueiredo, E., and Chiaia, B. “Unsupervised transfer learning for structural health monitoring of urban pedestrian bridges”, Journal of Civil Structural Health Monitoring, 1-17 (2024).

Rosso, M.M., Marasco, G., Aiello, S., Aloisio, A., Chiaia, B., and Marano, G.C. “Convolutional networks and transformers for intelligent road tunnel investigations”, Computers & Structures, 275, 106918 (2023).

Marasco, G., Piana, G., Chiaia, B., and Ventura, G. “Genetic Algorithm Supported by Influence Lines and a Neural Network for Bridge Health Monitoring”, Journal of Structural Engineering, 9, 04022123 (2022).

Marasco, G., Oldani, F., Chiaia, B., Ventura, G., Dominici, F., Rossi, C., Iacobini, F., and Vecchi, A. “Machine learning approach to the safety assessment of a prestressed concrete railway bridge”, Structure and Infrastructure Engineering, 1-15 (2022).

Chiaia, B., Marasco, G., and Aiello, S. “Deep convolutional neural network for multi-level non-invasive tunnel lining assessment”, Frontiers of Structural and Civil Engineering, 16(2), 214-223 (2022).

Chiaia, B., Marasco, G., Ventura, G., and Zannini Quirini, C. “Customised active monitoring system for structural control and maintenance optimisation”, Journal of Civil Structural Health Monitoring, 10(2), 267-282 (2020).

Refereed Conference Proceedings

Marasco, G., and Pakzad, S. “AI support for bridge SHM and life cycle assessment”, Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024, 93-105 (2024).

Marasco, G., Sen, D., Sadeghi Eshkevari, S., Dabbaghchian, I., and Pakzad, S. “A framework for bridge condition assessment using Graph Neural Network”, Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024, 2528–2535 (2024).

Sadeghi Eshkevari, S., Dabbaghchian, I., Sen, D., Marasco, G., and Pakzad, S. “Analyzing uncertainty in strain estimation framework for bridge condition assessment”, Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024, 3389–3396 (2024).

Matarazzo, T., Cronin, L., Eshkevari, S., Dabbaghchian, I., Sen, D., Marasco, G., Pakzad, S., Santi, P., and Ratti, C. “Empirical Study on Smartphone-Vehicle Trip Metadata and Bridge Modal Property Estimates”, Bridge Maintenance, Safety, Management, Digitalization and Sustainability - Proceedings of the 12th International Conference on Bridge Maintenance, Safety and Management, IABMAS 2024, 1754–1760 (2024).

Sadeghi Eshkevari, S., Sadeghi E., S., Dabbaghchian, I., Marasco, G., and Pakzad, S. “Spatiotemporal extrapolation for vibration to strain estimation using domain adaptation”, Journal of Physics: Conference Series,182036 (2024).

Dabbaghchian, I., Sadeghi Eshkevari, S., Marasco, G., and Pakzad, S. “Output-only response mapping of bridges for dynamic response estimation of gusset plate using convolutional neural networks”, Journal of Physics: Conference Series, 182033 (2024).

Sadeghi Eshkevari, S., Sen, D., Sadeghi Eshkevari, S., Dabbaghchian, I., Marasco, G., and Pakzad, S. “Utilization of Bridge Acceleration Response for Indirect Strain Sensings”, IMAC XLII International Conference on structural dynamics, In press (2024).

Cronin, L., Marasco, G., Sen, D., Dabbaghchian, I., Matarazzo, T., and Pakzad, S. “Bridge Modal Identification Using Crowdsourced Vibration Data from Passing Vehicles”, International Operational Modal Analysis Conference, 468-474 (2024).

Marasco, G., Sadeghi Eshkevari, S., Dabbaghchian, I., and Pakzad, S. “Artificial intelligence-aided life-cycle assessment strategies”, Intelligent Systems Conference, 360-370 (2024).

Marasco, G., Sadeghi Eshkevari, S., and Pakzad, S. “Graph convolutional neural networks based strain estimation”, Proceedings of IWSHM 2023: 14th International Workshop on Structural Health Monitoring (IWSHM), (2023).

Marasco, G., Piana, G., Chaia, B., and Ventura, G. “Bridge damage assessment by AI and static measurements”, Proceedings of ICOSSAR 2021-2022: 13th International Conference on Structural Safety and Reliability, (2023).

Marasco, G., Aiello, S., Rosso, M.M., Chiaia, B., Cirrincione, G., and Marano, G.C. “Reti neurali convoluzionali per la classificazione di difetti in galleria”, Convegno Fabre. Ponti, viadotti, e gallerie esistenti: ricerca, innovazione e applicazioni, (2022).

Chiaia, B., Marasco, G., and Aiello, S. “Innovative strategies to preserve the Italian engineering heritage: the historical tunnels”, World Heritage and Ecological Transition Atti-Le Vie dei Mercanti_XX International Forum, 158-165 (2022).

Rosso, M.M., Marasco, G., Tanzi, L., Aiello, S., Aloisio, A., Cucuzza, R., Chiaia, B., Cirrincione, G. and Marano, G.C. “Advanced deep learning comparisons for non-invasive tunnel lining assessment from ground penetrating radar profiles”, ECCOMAS Congress 2022–8th European Congress on Computational Methods in Applied Sciences and Engineering, (2022).

Marasco, G., Rosso, M.M., Aiello, S., Aloisio, A., Cirrincione, G., Chiaia, B., and Marano, G.C. “Ground penetrating radar Fourier pre-processing for deep learning tunnel defects’ automated classification”, International Conference on Engineering Applications of Neural Networks, 165-176 (2022).

Aiello, S., Borla, O., Chiaia, B., and Marasco, G.*. “Holistic strategies for control of tunnel linings”, fib Symposium, 95-101 (2021).

Marasco, G., Chiaia, B., and Ventura, G. “AI based bridge health assessment”, 9th International Workshop on Reliable Engineering Computing (REC 2021), “Risk and Uncertainty in Engineering Computations, (2021).

Chiaia, B., Ventura, G., Zannini Quirini, C., and Marasco, G. “Bridge active monitoring for maintenance and structural safety”, Proceedings of ARCH 2019: 9th International Conference on Arch Bridges, (2020).

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