Fields of expertise
Reduced order modelling, uncertainty quantification, machine learning, numerical approximation of partial differential equations, numerical methods for Digital Twin
I obtained my Bachelor degree in Mathematical Engineering from Politecnico di Milano, Italy in 2013. During the last year, I spent one semester at Institut National Polytechnique de Grenoble, France for the Erasmus exchange program and I completed a thesis entitled “Wave equation in anisotropic media. Numerical application and stability analysis”.
In 2015, I received a Master degree in Computational Science and Engineering from Ecole Polytechnique Fédérale de Lausanne. As part of my master program, I have done an internship at ABB, where I worked on Whitney forms in computational electromagnetism. My master thesis entitled “Adaptive WENO methods based on non-polynomial reconstructions” was done under the supervision of Professor Hesthaven.
After graduation, I’ve joined the MCSS Chair as a research assistant and, since January 2016, I am pursuing my PhD studies under the supervision of Prof. Hesthaven.
C. Bigoni; J. S. Hesthaven : Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring; Computer Methods In Applied Mechanics And Engineering. 2020-05-01. DOI : 10.1016/j.cma.2020.112896.
C. Bigoni; Z. Zhang; J. S. Hesthaven : Systematic sensor placement for structural anomaly detection in the absence of damaged states. 2020-05-07.
C. Bigoni; J. S. Hesthaven : MATHICSE Technical Report: Simulation-Based Anomaly Detection and Damage Localization: an Application to Structural Health Monitoring. 2019-04-10.
C. Bigoni; J. S. Hesthaven : Adaptive WENO methods based on radial basis functions reconstruction; Journal of Scientific Computing. 2017. DOI : 10.1007/s10915-017-0383-1.