
About
Stefano Riva is a Researcher at NRGroup, with an R&D period spanning from 2022 to today. His work focuses on multi-scale and multi-physics analysis, generation IV reactors, computational fluid dynamics, and model order reduction.
- PhD Thesis: Development of data-driven Reduced Order Modelling with application to MultiPhysics systems
- MSc Thesis: Reduced Basis Methods for Data Assimilation with application to real thermal-hydraulics systems (2021)
Research Trends: Stefano's publications from 2021–2024 emphasize data assimilation, reduced-order models, and multi-physics systems in nuclear and fluid dynamics contexts. He explores hybrid techniques (e.g., GEIM and PBDW), noise stabilization in data assimilation, and finite element implementations for fluid simulation. His work bridges nuclear reactor analysis and thermal-hydraulics with advanced computational methods.
Key Collaborations: Stefano has contributed to projects involving FEniCSx-OpenMC coupling for temperature feedback in neutronic calculations and sensor positioning optimization for Circulating Fuel Reactors.
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