Alessandra Spadaro

Ph.D. candidate in Ingegneria Civile E Ambientale , 38th cycle (2022-2025)
Department of Environment, Land and Infrastructure Engineering (DIATI)

Docente esterno e/o collaboratore didattico
Department of Environment, Land and Infrastructure Engineering (DIATI)



Research topic

Geospatial AI for monitoring and risk analysis in critical infrastructures


Research presentation


Research interests



The project will investigate the application of AI/DL to data collected with several sensors with the purpose to perform autonomous surveys and infrastructures inspections.
Specifically, the field of application concerns tunnels and galleries. Surveys and inspections in underground environments can be challenging for several reasons, such as i) limited access, confined spaces, and poor lighting; ii) geometric repetitiveness with very similar patterns and textures; iii) absence of GPS signal and the need to use alternative technologies for positioning; iv) operational and safety risks for operators in case of instability.
Given this, the need to collect data using conventional and non-conventional systems, even adopting unmanned systems (rovers, drones, ROV) equipped with different types of sensors and cameras. Calibration, data fusion, and data processing (image, point cloud, 3D model) will be supported by AI/ML/DL/RL techniques. Also, the data post-processing uses AI, combining innovative solutions for classification, segmentation, and damage detection/recognition. Digital information will be managed using GIS and BIM platforms in order to realize digital twins for smart infrastructure management.

Awards and Honors

  • Premio miglior poster 2023 - 65° Convegno Nazionale SIFET, Arezzo, 27-29 Settembre 2023 (2024)



Bachelor of Science

  • Topografia. A.A. 2023/24, INGEGNERIA PER L'AMBIENTE E IL TERRITORIO. Collaboratore del corso
  • Topografia. A.A. 2023/24, INGEGNERIA EDILE. Collaboratore del corso


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