Matteo Icardi, Ph.D.

Assistant professor in Applied Mathematics and Fluid Dynamics

Geoenergy Research Centre

School of Mathematical Sciences

University of Nottingham

PhD scholarship on Systematic Coarse-Graining for Molecular Systems

PhD scholarship on Communication through Complex Media

Other PhD Scholarships


POST-DOC position available on Model Reduction, Discrete Fracture Networks, and Multi-continuum Transport in porous media!



·      16-17 JULY 2018: Workshop VALIDATION APPROACHES FOR MULTISCALE POROUS MEDIA MODELS, University of Nottingham


I work at the interface between Applied and Industrial Mathematics, Scientific Computing, and Computational Physics, focusing on multiphase flows, multiscale modelling, and porous media applications.

Since October 2017 I am an Assistant Professor of Applied Mathematics at the University of Nottingham, within the School of Mathematical Sciences and the GeoEnergy Research Centre.



1.    Systematic derivation of hybrid coarse-grained models, arXiv, Joint work with Tom Hudson and Nicodemo Di Pasquale.

2.    Mechanisms of dispersion in a porous medium, Journal of Fluid Mechanics, 2018. Joint work with Marco Dentz and Juan Hidalgo.



1.    SECURe: Subsurface Evaluation of Carbon capture and storage and Unconventional Risk”, H2020 EU project, 2018-2021

2.    "Development of a robust modelling and up-scaling technique of nanofluids transport and retention for subsurface engineering applications", Royal Academy of Engineering, Industry-academia partnership. 2018-2020

3.    "Data assimilation and uncertainty quantification strategies for anomalous transport in subsurface flows", Royal Society International Exchange. 2018-2020

4.    “Mechanisms of Mixing and Anomalous Transport: Pore Scale Simulation and Upscaling of Flow and Transport in Heterogeneous Media”, Spanish Research Project PSOMAD. 2016-2018



·      18-22 September 2017: session on Electrokinetic and electrochemical flows for batteries and fuel cells: analysis, simulation, upscaling, ACOMEN 2017, Ghent.

·      11-14 September 2017: SIAM Conference on Mathematical and Computational Issues in the Geosciences, Erlangen.

·      7-8 September 2017: INTERPORE UK annual meeting, Warwick.

·      4-8 September 2017: European Study Group with Industry (ESGI), Warwick.

·      15-19 MAY 2017: INdAM Workshop on Innovative Mathematical Models and Methods for Industrial Applications, Rome.

·      8 - 11 MAY 2017: mini-symposium on Advances in the application of periodic and stochastic homogenisation to transport models and multi-physics simulation in porous media, INTERPORE conference, Rotterdam.

·      3-7 APRIL 2017: Numerical Analysis for PDEs, Warwick.


·      4-8 JULY 2016: PDEsoft conference and OpenFOAM Hack days

·      14-16 JUNE 2016: Workshop "Multiscale phenomena in electrochemical and porous systems"

·      9-12 MAY 2016: INTERPORE minisymposium on "Uncertainty Quantification for Porous Media Applications"


·      30 NOVEMBER 2015"Modelling and Simulation of Electrochemical flows in Lithium-ion batteries", Warwick Mathematics Institute

·      AUGUST 2015: ICIAM 2015 industrial minisymposium on particle flows

·      MAY 2015: INTERPORE minisymposium on Pore-scale simulation

·      JANUARY 2015: Open-source tools for computational engineering, KAUST Winter Enrichment Program


1.     MAY 2014: INTERPORE minisymposium on Uncertainty Quantification





1.    Modelling and simulation of complex flows (CFD)

2.    Anomalous Transport in Porous Media

3.    Numerical Methods for Partial Differential Equations (PDE)

4.    Scientific and High Performance Computing (HPC)

5.    Model reduction and coarse-graining

6.    Data assimilation and Uncertainty Quantification (UQ)


1.    Multiphase reactors and microfluidics

2.    Porous and heterogeneous materials

3.    Colloidal particle transport

4.    Reservoir and groundwater flows, carbon dioxide sequestration, EOR

5.    Particulate processes and
granular flows

6.    Electrochemical and electrokinetic flows

7.    Lithium-ion batteries

8.    Optimisation and reliability engineering


1.    Stochastic modelling, PDF methods

2.    Multilevel Monte Carlo

3.    Quadrature-based moment methods

4.    Multi-scale and upscaling methods

5.    Large Eddy Simulation (LES)

6.    Finite Volume (OpenFOAM®), Finite Element, Spectral methods

7.    High Performance Computing (HPC)

8.    Scripting and high-level automated simulation codes (Python, Julia)

9.    3D modelling











Google Scholar


Some of my simulations