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Associate Professor

Member of Interdepartmental Center (Ec-L - Energy Center Lab)

+39 0110907511 / 7511 (DISMA)

Stefano Scialò is Associate Professor at the Department of Mathematical Sciences "G.L.Lagrange". He

received his Master Degree in Aerospace Engineering in 2007,and the PhD degree in Mathematics for Engineering in

2014, both from Politecnico di Torino. Following his PhD studies, he was first a postdoctoral fellow and then Assistant pro-

fessor at the DISMA. His research interests include flow simulation in complex geometries, development and analysis of

discretization strategies on non-conforming meshes and polygonal/polyhedral numerical methods, uncertainty

quantification techniques, PDE-constrained optimization, high-performance computing techniques.

Scientific branch MAT/08 - ANALISI NUMERICA
(Area 0001 - Scienze matematiche e informatiche)
Curriculum Curriculum file application/pdf (84 KB)
Identifiers ORCID: 0000-0001-9976-6556
Research topics
  • Development and analysis of numerical methods for coupled problems with high dimensionality gap (3D-1D)
  • Analysis and application of Virtual Element Methods (VEM)
  • Development, analysis and application of domain decomposition strategies based on PDE constrained optimization.
 The method is developed and applied to the simulation of flow in poro-fractured media, but its applicatio to different areas is also possible. A suitable cost functional is introduced to express the error in the fullfilment of interface conditions and it is minimized constrained by constitutive equations in the inside of the subdomains. The method allows to easily discretize coupled problems on complex domains with a large number of interfaces, in a robust way. Further the resulting discrete problem also has excellent scalability properties on parallel computers
Skills and keywords

ERC sectors

PE1_17 - Numerical analysis


Goal 9: Industry, Innovation, and Infrastructure Goal 4: Quality education Goal 11: Sustainable cities and communities


Coupled problems Finite element analysis Galerkin methods Numerical approximation of pdes Numerical optimization Virtual element methods