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Dr. Fiorillo obtained a B.Sc. and M.Sc. in Building Engineering from the University of Naples “Federico II”, Italy, and practiced structural engineering for seven years in Europe before earning his Ph.D. in Civil Engineering from the City University of New York in 2016. He received the New York State Intelligent Transportation Society award for a student paper in 2012. His research contributions include the development of a risk-informed procedure for calibrating Load Resistance Factor Design (LRFD) importance factors for highway bridges and a probabilistic framework based on satellite data for socio-economic indicators employing efficient sampling techniques on high-performance computing platforms to assess risks related to filovirus outbreaks in Africa. Dr. Fiorillo's work focuses on quantifying the redundancy and robustness of bridge systems through advanced software packages, and he is developing probabilistic frameworks for system reliability risk analysis of bridge networks. Additionally, he uses machine learning approaches for risk assessment of bridge characterisation and deterioration using bridge inspection data. Dr. Fiorillo oversees graduate student opportunities in various research areas, offering M.Sc. positions for those with strong backgrounds in computational fluid dynamics, building energy efficiency, and structural analysis.
Streams include Education, Administration, or Clinical.