Personal Data


+34 93 413 41 08




C3 216


C/Gran Capità, s/n Campus Nord UPC, Edificio C1

08034, Barcelona, Barcelona, España

Professional Profile

RTD Group

Large scale scientific computing

Position in CIMNE

Full Research Professor

Scopus ID




Researcher ID


Google Scholar


CV Prof. Santiago Badia is Professor of Continuum Mechanics at UPC and the leader of the 'Large Scale Scientific Computing' Department at CIMNE. His research focuses on the development, mathematical analysis, and application of numerical methods in engineering and sciences, and high performance scientific computing. Since 2006, he has published 45 articles in top JCR journals, 2 book chapters and a monograph. He has been semi-plenary speaker at the World Congress in Computational Mechanics, and plenary lecturer at the J.L. Lions school 2012, Coupled Problems 2015, and the HPCSE 2015. Prof. Badia has received many awards, like the 2006 SEMNI and ECCOMAS 2006 awards for the best national and European thesis in computational mechanics, Outstanding PhD award at UPC 2005-2006, 2010 Juan Carlos Simo award to best young researcher in computational mechanics, and 2012 Young Investigator Award in Applied Mathematics from the Spanish Society of Applied Mathematics. He has been recipient of many fellowships and contracts: Marie Curie Fellowship in 2006-2009, Ramon y Cajal fellowship 2010, Principal Investigator of FUSSIM National Project (2012-2014) and 'Multi-physics simulation of HTS devices' (FP7-EU, 2015-2016), JT Oden 2010 fellowship from UT Austin, Starting Grant and Proof of Concept Grants from the European Research Council (2011-2016). He is a main developer of FEMPAR, his team's in-house code, a massively parallel finite element software distributed as free software by GNU-GPL. FEMPAR has been positioned as world's most scalable domain decomposition solver, and has efficiently run at the whole JUQUEEN supercomputer (the largest supercomputer in Europe) on 458,672 processors. FEMPAR is now on the High-Q club of the most scalable European scientific computing codes. Further, Prof. Badia is leading a highly-competitive TIER-0 PRACE project to assess the extreme scalability of his algorithms and codes.