Matteo Giacomini
Scholar

Matteo Giacomini

Google Scholar ID: WXgzPp0AAAAJ
Laboratori de Càlcul Numèric (LaCàN), Universitat Politècnica de Catalunya - CIMNE
Computational Science and EngineeringScientific Machine LearningShape/Topology OptimisationCFD
Citations & Impact
All-time
Citations
641
 
H-index
17
 
i10-index
24
 
Publications
20
 
Co-authors
32
list available
Resume (English only)
Academic Achievements
  • Published multiple papers, Scopus ID: 57038403600, Google Scholar ID: WXgzPp0AAAAJ, ORCID: 0000-0001-6094-5944, Researcher ID: N-7839-2016. Involved in several research projects such as Innovative Algorithms for Fast Accurate Computing and Credible data-driven models.
Research Experience
  • Associate Professor of Computational Engineering at Universitat Politècnica de Catalunya, affiliated researcher at CIMNE – Centre of Excellence Severo Ochoa, and affiliated faculty at IMTech – Institute of Mathematics of UPC-BarcelonaTech.
Education
  • PhD in Applied Mathematics from École Polytechnique, Université Paris-Saclay (France) in 2016; MS in Mathematical Engineering from Politecnico di Milano (Italy) in 2013; BS in Mathematical Engineering from Politecnico di Milano (Italy) in 2010.
Background
  • Associate Professor of Computational Engineering with research interests in high-order methods (finite element, discontinuous Galerkin, hybridisable discontinuous Galerkin), low-order methods (finite volume, face-centred finite volume), error & adaptivity, dimensionality & complexity reduction, PDE-constrained optimisation, and development of open-source CSE software. Applications include computational fluid dynamics, computational solid mechanics, multiphysics, image segmentation, industrial problems, and sustainability.
Miscellany
  • Co-chairperson of Math 2 Product (M2P): ECCOMAS-IACM Conference on Emerging Technologies in Computational Science for Industry, Sustainability and Innovation.