Santiago Taguado Menza
PhD thesis title: Artificial Intelligence and Stochastic Simulation for the Resilience of Critical Infrastructures
Academic Tutor: Francesco Di Maio
Academic Supervisor: Enrico Zio
Affiliate external company or research group: Politecnico di Torino, Istituto Nazionale di Geofisica e Vulcanologia, École nationale supérieure des mines de Paris
PhD cycle: 39° (see all student profiles of the same cycle > LINK)
BSc: Chemical Engineering, University of South Florida
BA: Economics, University of South Florida
MSc: Chemical Engineering, Politecnico di Milano
Excellence Award Presentation - 8th International Conference on System Reliability and Safety (ICSRS 2024) - Session: Resilience Analysis, Assessment, and Management - Catania, Sicily, Italy | November 20–22, 2024
Thesis abstract
My PhD thesis focuses on the resilience assessment of critical energy infrastructures (CEIs), such as electrical grids and natural gas networks. Due to the increased intensity and frequency of extreme weather events, the study of CEI resilience requires the integration of natural hazard modeling and stochastic modeling of the cascading failure processes induced by such events and their effects on CEI performance.
This research is funded by the Italian Ministry of University and Research (MIUR) under the PRIN 2022 program (Grant No. 2022TAFXZ5) and co-supported by the European Union through the Next Generation EU initiative.
Personal interest in my research theme
Although I studied economics and chemical engineering, completing the former at the bachelor level and the latter through graduate studies, I’ve always been drawn to risk.
