In general terms, my work aims for improved forecastability of behavior of pavements under service. The main focus of my research is the following: (i) Response Modeling – Effectively and accurately computing the mechanical responses of pavements due to different excitation sources; (ii) Embedded and Mobile Instrumentation. Promoting innovative techniques to sense and measure in situ responses; and (iii) Inverse Analysis of Properties - Developing model-guided methods for analyzing sensor readings as means of characterizing usage and identifying properties. Currently i am working on a new method for road-condition surveying based on data collected from modern car sensors using car-fleet data and machine learning.
