Ph.D. candidate in Ingegneria Civile E Ambientale , 38th cycle (2022-2025)
Department of Environment, Land and Infrastructure Engineering (DIATI)
Profile
PhD
Research topic
Geospatial AI for monitoring and risk analysis in critical infrastructures
Tutors
Research presentation
Research interests
Biography
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
Teaching
Teachings
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
Publications
Latest publications View all publications in Porto@Iris
- Lingua, A. M.; Maschio, P.; Spadaro, A.; Vezza, P.; Negro, G. (2023)
ITERATIVE REFRACTION-CORRECTION METHOD ON MVS-SfM FOR SHALLOW STREAM BATHYMETRY. In: ISPRS TC I Mid-term Symposium “Intelligent Sensing and Remote Sensing Application”,, Changsha, 13–17 May 2024, pp. 249-255. ISSN 1682-1750
Contributo in Atti di Convegno (Proceeding)