School of Mathematical Sciences
 

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Kristoffer van der Zee

Professor of Numerical Analysis & Computational Applied Mathematics, Director of Automation Innovation, Faculty of Science

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Biography

  • Full Professor of Numerical Analysis & Computational Applied Mathematics, School of Mathematical Sciences, University of Nottingham (since Aug 2023)
  • Director of Automation Innovation, School of Mathematical Sciences, University of Nottingham (since Aug 2023)
  • Interim PGR Student Advisor, School of Mathematical Sciences, University of Nottingham (since Aug 2023)
  • Director of PGR Studies, School of Mathematical Sciences, University of Nottingham (Aug 2020-2023)
  • Associate Professor of Scientific Computation, School of Mathematical Sciences, University of Nottingham (Aug 2020 - Aug 2023)
  • Editor, Engineering with Computers, since Oct 2023 (Associate Editor, Sep 2021 - Sep 2023).
  • Associate Fellow of the Higher Education Academy (AFHEA) (since 2018).
  • Nottingham SIAM-IMA Student Chapter Faculty Advisor, inaugural (Nov 2017 - Aug 2020)
  • Royal Society Kan Tong Po International Exchange Fellow, City University of Hong Kong (Nov 2015 - Jan 2016)
  • School PGR Student Advisor, School of Mathematical Sciences, University of Nottingham (Aug 2015 - Aug 2020)
  • Nottingham Node Representative MAGIC (Mathematics Access Grid: Instruction and Collaboration) (Aug 2015 - Aug 2020)
  • Lecturer (Assistant Prof) of Scientific Computation, School of Mathematical Sciences, University of Nottingham (Oct 2013 - Aug 2020)

Other biography

Research Summary

  • Numerical analysis, scientific computation, and computational PDEs;
  • Neural networks and machine-learning for scientific computation;
  • Optimal discretisation theory, minimal residual (MRes) and Petrov-Galerkin methods;
  • Foundations of error estimation and optimality of adaptive FEM;
  • Reduced-order, multi-scale, and adaptive modelling;
  • Uncertainty quantification, validation and optimal Bayesian experimental design;
  • Evolving-interface phenomena, free- and moving-boundary problems;
  • Multiphase flows and materials, and phase-field/diffuse-interface models;
  • Applications to fluid dynamics, mechanobiology and engineering mechanics.

Member of School of Mathematical Sciences' Research Themes and Centres

Some recent talks

Organiser

Postgraduate Projects

Postdoctoral opportunities (general UK fellowships)

Teaching Summary

2023-2024

  • MATH2019 - Introduction to Scientific Computation (autumn semester) (Link to Catalogue)
  • MAGIC098 - Adaptive Finite Element Methods (autumn semester) (Link to MAGIC website)
  • MATH3036 - Scientific Computation and Numerical Analysis (spring semester) (Link to Catalogue)

2022-2023

  • MATH2019 - Introduction to Scientific Computation (autumn semester) (Link to Catalogue)
  • MAGIC098 - Adaptive Finite Element Methods (autumn semester) (Link to MAGIC website)
  • MATH3036 - Scientific Computation and Numerical Analysis (spring semester) (Link to Catalogue)

2021-2022

  • MATH2019 (G12ISC) - Introduction to Scientific Computation (autumn semester) (Link to Catalogue)

2020-2021

  • MATH2019 (G12ISC) - Introduction to Scientific Computation (autumn semester) (Link to Catalogue)
  • MATH4064 (G14CAM) - Computational Applied Mathematics (Link to Catalogue)

2019-2020

  • MATH2019 (G12ISC) - Introduction to Scientific Computation (autumn semester) (Link to Catalogue)
  • MATH4064 (G14CAM) - Computational Applied Mathematics (Link to Catalogue)

2018-2019

  • MATH2019 (G12ISC) - Introduction to Scientific Computation (autumn semester) (Link to Catalogue)

2017-2018

  • G12ISC - Introduction to Scientific Computation (spring semester) (Link to Catalogue)
  • G14CAM - Computational Applied Mathematics (Link to Catalogue)

2016-2017

2015-2016

  • G12INM / HG2INM - Introduction to Numerical Methods (spring semester) (Link to Catalogue)
  • G14CAM - Computational Applied Mathematics (Link to Catalogue)

2014-2015

  • G12INM / HG2INM - Introduction to Numerical Methods (spring semester) (Link to Catalogue and Moodle)
  • HG4MPD (UK) - Mathematical Techniques in PDEs for Engineers (Link to Catalogue and Moodle)

2013-2014

2012-2013

2011-2012

2010, 2011

Supervision

  • Ignacio Brevis (Postdoc), Topic: Scientific Machine Learning for membrane manufacturing, 2022-2025
  • Tanakorn Udomworarat, Topic: Scientific Machine Learning for wave modelling, PhD project 2022-2026
  • Sattam Alrashidy, Topic: Optimisation, control and estimation for nonlinear PDEs with applications in Fluid Mechanics, PhD project 2021-2024
  • Hamd Alsobhi, Topic: Optimisation algorithms for Minimal-Residual FEM, PhD project 2020-2023
  • Xuesi (Rose) Yang, Zhengyuan (Cassie) Zhang, Yu (Summer) Qi, Zeqi (Elain) Wang, Geometric Modelling of Human Bodies, UG Summer 2020
  • Anne Boschman, Topic: Bulk-surface phase-field modelling, PhD project 2019-2023
  • Isil Akpinar (Postdoc), Topic: Machine Learning for Membrane Manufacturing, 2019-2021
  • Connor Rourke (2nd supervisor), Topic: Adaptive FEM, PhD project 2019-2023
  • Yiyun Fan (2nd supervisor), Topic: Two-fluid flow asymptotics, PhD project 2019-2022
  • Toby Willis (with Matteo Icardi), Diffuse-domain approximations for porous media flow, UG Summer 2019, Nottingham
  • Matthew Tyler (with Donald Brown), Advanced discontinuous discretisation techniques for multiscale PDEs, Summer 2018 (LMS Undergraduate Bursary), Nottingham
  • Sarah Roggendorf, Topic: Adaptive FEM for nonlinear PDEs, PhD project 2016-2019, University of Nottingham
  • Yuchen Yang (2nd supervisor), Topic: Bayesian inference for PDEs, PhD project 2015-2018, University of Nottingham (VC Scholarship for Research Excellence)
  • Chris Miles, Topic: Solar-cell computational phase-field modelling, PhD project 2015-2019, University of Nottingham
  • Holly Smith (2nd supervisor), Topic: Tumour pattern formation, PhD project 2015-2018, University of Nottingham
  • Lee Curtin (2nd supervisor), Topic: Mathematical modelling of brain tumour growth and therapy, 30 April 2019, University of Nottingham
  • Xunxun Wu, Space-time adaptive methods for phase-field models, 28 June 2017, Eindhoven University of Technology
  • Gorkem Simsek, Numerical methods for diffuse interface models of binary flows, 21 June 2017, Eindhoven University of Technology
  • Benjamin Dominguez, Modelling error estimation for granular solids, MSc thesis 2015, University of Nottingham
  • James Malone, Truncation-induced error estimation for the Black-Scholes model, MSc thesis 2015, University of Nottingham
  • Ian Roper, Partitioned-domain concurrent multiscale modelling, Master's thesis 2015, University of Nottingham
  • Panagiotis Zacharis, Bayesian calibration and model selection for elastic continua, MSc thesis 2014, University of Nottingham
  • Jack Litherland, Topic: Particle-continuum multiscale modeling, 2014 BSc Summer Studentship (Dean's Fund), University of Nottingham
  • Rody van Tuijl, Energy stable discretisation of surfactant transport on fluid surfaces, MSc thesis 2013, Eindhoven University of Technology
  • Göktürk Kuru, Goal-adaptive isogeometric analysis with hierarchical splines, MSc thesis 2013, Eindhoven University of Technology
  • Peter Fick, Goal-oriented a-posteriori error estimation and adaptivity for fluid-structure interaction, MSc thesis 2008, Delft University of Technology
  • Ted Heemskerk, Discontinuous Galerkin methods with solenoidal elements for the Stokes problem, MSc thesis 2006, Delft University of Technology

Preprints

Selected Publications

School of Mathematical Sciences

The University of Nottingham
University Park
Nottingham, NG7 2RD

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