Dr. Giulia Marasco is an Assistant Professor in the Department of Civil and Environmental Engineering at the College of Engineering and Computing, Florida International University (FIU), where she began her appointment in August 2025. She earned her Ph.D. in Civil and Environmental Engineering from Politecnico di Torino and later conducted postdoctoral research for two years at Lehigh University.

Her research interests lie at the intersection of Structural Engineering, Data Science, and Artificial Intelligence (AI), with a focus on Structural Health Monitoring (SHM).

She aims to design, analyze, and implement novel methodologies that integrate cutting-edge sensing technologies, big data analytics, deep learning algorithms, and community-oriented networks to enhance the resiliency, reliability, and sustainability of civil infrastructure and advance the state-of-the-art in SHM. Her work encompasses three main thrusts: machine learning for damage detection, virtual sensing for life-cycle assessment, and transfer learning.

She applies these methodologies to provide infrastructure owners and regional transportation planners with innovative digital diagnostic tools that offer unprecedented spatial and temporal monitoring resolution, robust near-real-time structural performance predictions, and streamlined operations for dedicated sensor networks and analytics while considering community involvement. These tools ensure widespread infrastructure evaluation, optimized decision-making, and enhanced public safety, thereby having a significant impact on the economy and society.

Selected publications:

• 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).