Overview
Guglielmo Scovazzi received B.S/M.S. in aerospace engineering (summa cum laude) from Politecnico di Torino (Italy); and M.S. and Ph.D. in mechanical engineering from Stanford University. Before coming to Duke, he was a Senior Member of the Technical Staff in the Computer Science Research Institute at Sandia National Laboratories (Albuquerque, NM).
Dr. Scovazzi’s research interests include finite element and advanced numerical methods for computational fluid and solid mechanics. His research emphasizes accurate computational methods aimed at reducing the overall design/analysis costs in multiphase porous media flows, highly transient compressible and incompressible flows, turbulent flows, complex geometry systems in solid mechanics, and fluid/structure interaction problems.
Dr. Scovazzi’s research interests include finite element and advanced numerical methods for computational fluid and solid mechanics. His research emphasizes accurate computational methods aimed at reducing the overall design/analysis costs in multiphase porous media flows, highly transient compressible and incompressible flows, turbulent flows, complex geometry systems in solid mechanics, and fluid/structure interaction problems.
Current Appointments & Affiliations
Professor in the Department of Civil and Environmental Engineering
·
2019 - Present
Civil and Environmental Engineering,
Pratt School of Engineering
Professor of Mathematics
·
2025 - Present
Mathematics,
Trinity College of Arts & Sciences
Recent Publications
A shifted boundary method for thermal flows
Journal Article Journal of Computational Physics · February 15, 2026 We present an implementation of the Shifted Boundary Method (Octree-SBM) on incomplete Octree meshes for multiphysics simulations of coupled flow and heat transfer. Specifically, a semi-implicit formulation of the thermal Navier-Stokes equations is used to ... Full text CiteSimulating incompressible flows over complex geometries using the shifted boundary method with incomplete adaptive octree meshes
Journal Article Journal of Computational Physics · January 1, 2026 We extend the Shifted Boundary Method (SBM) to the simulation of incompressible fluid flow using immersed octree meshes. Previous work on SBM for fluid flow primarily utilized two- or three-dimensional unstructured tetrahedral grids. Recently, octree grids ... Full text CiteDirect flow simulations with implicit neural representation of complex geometry
Journal Article Computer Methods in Applied Mechanics and Engineering · November 1, 2025 Implicit neural representations (e.g., neural network-based signed distance fields) have emerged as a powerful approach for encoding complex geometries as continuous functions. These implicit models are widely used in computer vision and 3D content creatio ... Full text CiteRecent Grants
MPS/DMS-EPSRC: Advanced Computational Methods for Imperfect/Uncertain Geometries
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2024 - 2027High-order finite element methods for simulations of complex geometries without boundary fitted grids
ResearchPrincipal Investigator · Awarded by National Science Foundation · 2022 - 2025Exact Representation of Curved Material Interfaces and Boundaries in High-Order Finite Element Simulations
ResearchPrincipal Investigator · Awarded by Lawrence Livermore National Laboratory · 2020 - 2023View All Grants
Education, Training & Certifications
Stanford University ·
2004
Ph.D.