Stefano Scialo'

Associate Professor
Department of Mathematical Sciences (DISMA)

  • Member of Interdepartmental Center Ec-L - Energy Center Lab

Profile

Research interests

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

Biography

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.

Curriculum

Download file (84KB, in Italian)

Scientific branch

MAT/08 - NUMERICAL ANALYSIS
(Area 0001 - Mathematical and computer sciences)

Research topics

  • Analysis and application of Virtual Element Methods (VEM)
  • Development and analysis of numerical methods for coupled problems with high dimensionality gap (3D-1D)
  • 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

ERC sectors

PE1_17 - Numerical analysis

SDG

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

Research networks

  • Progetto INdAM-GNCS (2018-2019). Coordinamento

Teaching

Collegi of the PhD programmes

  • SCIENZE MATEMATICHE, 2022/2023 (39. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research groups

Research projects

Projects funded by competitive calls

Publications

Last years publications

PoliTO co-authors

Publications by type

Latest publications View all publications in Porto@Iris

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