Paolo Zunino Dr. Ing., Ph.D.

Current Position:

Professor of Numerical Analysis
Laboratory of Modeling and Scientific Computing
Department of Mathematics
Politecnico di Milano

Education:

Ph.D., Applied Mathematics, November 2002
Chair of Modelling and Scientific Computing (CMCS)
Institute of Analysis and Scientific Computing (IACS)
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Dissertation: Mathematical and numerical modelling of mass transfer in the vascular system. Advisor: Prof. Alfio Quarteroni.

Master in Aerospace Engineering, April 1999.
Politecnico di Milano, Milan, Italy.

Institutional web pages:

Click the logo to download the full CV
MOX website and personal page

Personal Profile in Scientific Databases:

Vita

  • MOX – Department of Mathematics, Politecnico di Milano, Italy
    • January 2018 – present Full Professor in Numerical Analysis
    • July 2015 – December 2017 Associate Professor
    • April 2005 – December 2011, Ricercatore
  • Department of Mechanical Engineering and Materials Science, University of Pittsburgh, PA, USA
    • January 2012 – June 2015, Assistant Professor
  • Chair of Modelling and Scientific Computing, Institute of Analysis and Scientific Computing, Ecole Polytechnique Fédérale de Lausanne, Switzerland
    • November 2002 – March 2005, Postdoctoral Fellow
    • June 1999 – October 2002, Research Assistant

Research Interests

  • Numerical methods for partial differential equations
    • Extended finite element methods
    • Splitting schemes for coupled problems
    • Numerical approximation of poro-mechanics
  • Mixed-dimensional approximation of multiscale problems
    • Analysis and approximation of mixed-dimensional PDEs
    • Applications to mass transfer problems (microcrculation)
    • Applications to fluid-structure interaction
  • Scientific machine learning
    • Deep-learning based reduced order models (DL-ROM)
    • Application of DL-ROM the analysis of multiscale problems

Selected Publications

  • Franco, N.R., Manzoni, A., Zunino, P. A deep learning approach to reduced order modeling of parameter dependent partial differential equations(2023) Mathematics of Computation, 92 (340), pp. 483-524.
  • Kuchta, M., Laurino, F., Mardal, K.-A., Zunino, P. Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers (2021) SIAM Journal on Numerical Analysis, 59 (1), pp. 558-582.
  • Federica Laurino, Paolo Zunino, Derivation and analysis of coupled PDEs on manifolds with high dimensionality gap arising from topological model reduction ESAIM: M2AN 53 (6) 2047-2080 (2019).
  • I. Ambartsumyan, E. Khattatov, I. Yotov, P. Zunino A Lagrange multiplier method for a Stokes-Biot fluid-poroelastic structure interaction model Numerische Mathematik (2018), 140 (2), pp. 513-553.
  • T .Koeppl, E. Vodotto, B. Wohlmuth, P. Zunino, Mathematical modelling, analysis and numerical approximation of second order elliptic problems with inclusions M3AS, Vol. 28 (2018), pp. 953-978.

Service

  • Co-Editor of ZAMP, Zeitschrift für angewandte Mathematik und Physik Journal of Applied Mathematics and Physics / Journal de Mathématiques et de Physique appliquées, Springer, 2023-p.
  • Member of the Editorial Board of Mathematics in Engineering, AIMS Press, 2018-p.
  • Member of the Editorial Board of SEMA-SIMAI Springer Series. 2014-p.
  • Associate Editor of Frontiers in Physiology: specialty section of Computational Physiology and Medicine.
  • Member of the Graduate Faculty of the Ph.D. Program in Mathematical Models and Methods for Engineering, Department of Mathematics, Politecnico di Milano, 2011-p.
  • Deputy-Coordinator of the Ph.D. Program Mathematical Models and Methods for Engineering, Department of Mathematics, Politecnico di Milano, 2016  – 2021.

Recent Students and Post.Docs

  • Post. Doc: Dr. Nicola R. Franco, November 2022 – present,
    • Ph.D. in 2023 with Prof. Paolo Zunino, Politecnico di Milano.
  • Post. Doc: Dr. Luovica Cicci, November 2021 – October 2022,
    • Ph.D. in 2022 with Prof. Alfio Quarteroni, Politecnico di Milano.
  • Post.Doc: Dr. Daniele Cerroni, January 2017 – 2020
    • Ph.D. in 2015 with Prof. Sandro Manservisi, Universita di Bologna.
  • Ph.D: N.R. Franco, November 2019 – 2023
    • Doctoral Program on Mathematical Models and Methods for Engineering, Politecnico di Milano. Ph.D. Thesis: Machine Learning for Precision Medicine
  • Ph.D: N. Barnafi, 2017 – 2020, Ph.D. Co-Supervisor with Prof. A. Quarteroni and Prof. L. Dede
    • Doctoral Program on Mathematical Models and Methods for Engineering, Politecnico di Milano. Ph.D. Thesis on Cardiac poromechanics
  • Ph.D: F. Laurino, 2016 – 2019.
    • Doctoral Program on Mathematical Models and Methods for Engineering, Politecnico di Milano. Ph.D. Thesis on Hierarchical computational models for predicting the vascular and extravascular transport of molecules, nanoconstructs and cells in neoplastic tissues, in collaboration with the Italian Institute of Technology.

Recent Seminars and Conferences

  • Invited Speaker: Scientific Machine Learning Workshop at the Banff International Research Station, Canada.
    • Title: A Deep Learning approach to Reduced Order Modelling of Parameter dependent Partial Differential Equations.
  • Co-Organizer of the Minisymposium: Innovative Modeling and computational approaches for living systems and precision medicine at the First International Conference on Emerging Technologies in Computational Science for Industry, Sustainability and Innovation – M2P 2023, Italy
  • Invited Plenary Speaker: 11th Conference on Applied Mathematics and Scientific Computing , Croatia.
    • Title: A Deep Learning approach to Reduced Order Modeling of Parameter dependent Partial Differential Equations.
  • Invited Keynote speaker: 7th International Conference on Computational and Mathematical Biomedical Engineering, Italy
    • Title: Mesoscale models of microcirculation.
  • Co-Organizer of the Workshop MCF2021: Modelling the Cardiac Function Theory, Numerical Methods, Clinical Applications, 2021