Fabio Tosti

Professor Fabio Tosti is a Professor of Civil Engineering and Director of the Faringdon Research Centre at the University of West London, School of Computing and Engineering. He holds a PhD and MSc from Roma Tre University, Italy, and has been a key figure in advancing Ground Penetrating Radar (GPR) and non-destructive testing (NDT) in civil and environmental engineering.

• PhD in Civil Engineering, Roma Tre University (2014)
• MSc in Road Transportation and Infrastructures, Roma Tre University (2010)

His research centers on non-destructive evaluation of civil infrastructure using GPR, microwave tomography, and remote sensing (e.g., InSAR). He has led projects within the COST Action TU1208 and co-convener of GPR sessions at the EGU General Assembly. He teaches across BEng, MEng, and MSc programs in civil and environmental engineering.

The articles listed span from 2020 to 2025, showcasing a consistent focus on infrastructure and environmental monitoring. Key research trends include bridge and runway deformation monitoring using satellite radar (InSAR), tree root and trunk assessment via GPR, data fusion of multi-sensor systems, and advanced signal processing techniques like reverse-time migration and joint inversion. His work bridges geophysics, civil engineering, and environmental science, with applications in transportation, urban forestry, and heritage conservation.

Notable scientific recognition includes the GI Division Outstanding ECS Award Lecture at EGU 2017.

Prof. Tosti actively supervises research, collaborates internationally, and contributes to editorial boards, including as Assistant to Editors for Advances in Transportation Studies. He has led and participated in numerous European and Italian research projects, demonstrating sustained funding and leadership. His work often involves interdisciplinary teams, including researchers from Italy, the UK, and the Netherlands.

He is a recognized expert in transport infrastructure health monitoring, with a strong emphasis on smart, non-invasive methods for roads, railways, bridges, and airport runways. His lab and research group focus on developing integrated sensing systems combining GPR, InSAR, LiDAR, and machine learning for real-world engineering challenges.