STEFANO SCIALO'

Associate Professor

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

+39 0110907511 / 7511 (DIMEAS)

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 (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

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 SDG Goal 9: Industry, Innovation, and Infrastructure Goal 4: Quality education Goal 11: Sustainable cities and communities Keywords Coupled problems Finite element analysis Galerkin methods Numerical approximation of pdes Numerical optimization Virtual element methods

Skills and keywords

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