Mihaela Chiappetta

Graduation: Civil Engineering at University of Pavia

Supervisors: Prof. Ferdinando Auricchio and Prof. Massimo Carraturo

Thesis topic: The research activity concerns the development of computational methodologies for modeling, inverse analysis, and design in complex engineering systems governed by process–structure–property relationships. The work addresses challenges related to complex physical behavior, limited data and uncertainty by combining surrogate modeling techniques, including Gaussian processes and sparse-grid approximations, with Bayesian inversion for parameter estimation and uncertainty-aware analysis. Applications include thermomechanical modeling of metal additive manufacturing processes, inverse design of architected materials, and structural topology optimization using density-based methods such as SIMP and the Method of Moving Asymptotes. The activity supports the development of efficient computational strategies for parameter identification, model calibration and design in complex engineering systems.