Matteo Giacomini

Matteo Giacomini is an Associate Professor of Computational Engineering at Universitat Politècnica de Catalunya (UPC), affiliated with the Laboratori de Càlcul Numèric (LaCàN). He is also an affiliated researcher at CIMNE (Severo Ochoa Excellence Centre) and affiliated faculty at IMTech (Institute of Mathematics of UPC-BarcelonaTech). His research focuses on numerical methods for PDEs, including high-order and low-order methods, error estimation, and reduced-order modeling. Applications span computational fluid dynamics, solid mechanics, image segmentation, and industrial sustainability.

Education:

• PhD in Applied Mathematics, École Polytechnique (2016)
• MSc & BSc in Mathematical Engineering, Politecnico di Milano (2013 & 2010)

Research Interests:

• High-order methods: finite element, discontinuous Galerkin
• Error & adaptivity: a posteriori estimates, mesh adaptation
• Dimensionality reduction: reduced order models, scientific ML
• PDE-constrained optimization: topology/shape optimization
• Software development: open-source CSE tools

Recent Work Trends:

Recent articles emphasize multi-fidelity surrogate modeling, domain decomposition for parametric PDEs, and robust finite volume methods for incompressible/compressible flows. He also contributes to HDG method implementations (e.g., HDGlab) and industrial applications of CFD.

Labs & Affiliations:

• LaCàN - UPC
• CIMNE - Innovative Algorithms & Credible Data-Driven Models groups
• IMTech - Mathematical Modelling research line