Gianluigi Rozza

Gianluigi Rozza is Full Professor in Numerical Analysis and Scientific Computing at SISSA MathLab – International School for Advanced Studies, Trieste, Italy.

Master of Science in Aerospace Engineering (2002) at Politecnico di Milano, PhD in Applied Mathematics (2005) at Ecole Polytechnique Fédérale de Lausanne, Switzerland. Research Assistant (2002-06), Researcher and Lecturer (2008-12) at École Polytechnique Fédérale de Lausanne; Post Doctoral Associate Researcher (2006-08) at Massachusetts Institute of Technology, Boston MA, USA; Researcher (2012-14) and Associate Tenured Professor (2014-17) at International School for Advanced Studies, Trieste, Italy.

His research interests include: Numerical Analysis, Numerical Simulation, Scientific Computing; Reduced Order Modelling and Methods with special focus on viscous flows and complex geometrical parametrizations; Efficient Reduced-Basis Methods for parametrized PDEs and a posteriori error estimation; Computational Fluid Dynamics with applications in Aero-Naval-Mechanical Engineering and Environmental Fluid Dynamics; Fluid-Structure Interaction Problems; Parametrized Navier-Stokes Equations for Bifurcations and stability of flow; Optimal Control, Flow Control based on PDEs, Optimal Shape Design, Shape Optimization, Shape Reconstruction, Shape Registration; Uncertainty quantification, data assimilation, parameter estimation; Machine Learning, Deep Learning, Neural Networks.

Author of about 180 scientific papers receiving more than 4500 citations (H-index 32) Recipient of Bill Morton CFD Prize (2004) by Institute of Computational Fluid Dynamics, University of Oxford (UK), ECCOMAS Ph.D Award (2005) by European Community on Computational Methods in Applied Sciences, Springer Computational Science and Engineering Prize (2009), ECCOMAS Jacques Louis Lions Award in Computational Mathematics (2014), ERC consolidator grant ‘Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics’ (AROMA-CFD, 2016-2021), ERC-Proof of Concept Grant ‘Advanced Reduced Groupware Online Simulation’(ARGOS, 2022).