Ian Turner | ARC Centre of Excellence for Mathematical and Statistical Frontiers

Chief Investigator, Professor

Queensland University of Technology

Professional and academic background

Professor Turner received his PhD in Mechanical Engineering from the University of Queensland in 1991. In 2010 he was awarded the degree of Doctor of Science from the Queensland University of Technology (QUT). He currently has a full-time research and teaching position at QUT, where his employment first commenced as a lecturer in 1991.

Ian’s more recent roles at QUT include:

2016-present          Professor; Academic Program Director for Dean’s Scholars
2012-2015               Head of School of Mathematical Sciences
2009-2011               Head of Discipline of Mathematical Sciences
2009-2009               Acting Head of School of Mathematical Sciences
2007-2009               School Director of Research, Mathematical Sciences.

Research

Professor Turner’s multidisciplinary research highlights the applicability of computational and applied mathematics to important environmental problems such as the drying of Australian softwood and hardwood species, saltwater intrusion in Queensland coastal aquifers, and the prediction of gas composition in a coal seam gas field in the Surat Basin.

Ian’s research demonstrates a strong interaction with industry, having worked with drying engineers at the Department of Agriculture and Fisheries (DAF), and hydrologists and computational modellers at the Department of Natural Resources and Mines. This work is ongoing, and these research initiatives are being developed further through collaboration and jointly supervised PhD projects.

He has also collaborated widely with various local industries and government organisations (for example CSIRO, DNRM and DAF) through commercial research opportunities and ARC Linkage grants.

Recognition

Ian has received international recognition for his research in the form of awards for best research papers in:

international journals
certificates of merit for his extensive contributions in modeling the drying process
invitations as keynote speaker at national and international conferences/workshops
invited professor/researcher positions at universities in Europe
invitations to co-edit a book dedicated to numerical methods for the drying process and to contribute chapters to other books.

National Leadership Roles

2012. Chair of the 2012 Computational Techniques and Applications Conference (CTAC), QUT.

2004-2008. Chair of the national executive of the Computational Mathematics Group, which oversees the enhancement of computational mathematics within Australia.

Ian has organised and chaired national postgraduate student forums on advanced computation for the Australian Partnership for Advanced Computing, for example the successful Summer Workshop in Computational Science held at QUT in 2006, which saw around 50 postgraduate students from around Australia attend.

Editorial Roles

In 2010 he was appointed as Associate Editor of the international Journal Applied Mathematical Modelling and then joined the Editorial Board in 2013.

Research Interests:

Complex models based on fractional operators

Computational Simulation Sciences

data assimilation

Finite Volume Methods

Immersive Visualisation

Numerical linear algebra

Physical modelling of flows in porous media

Virtual Reality

Visual Analytics and Big Data Analytics

Qualifications:

PhD (University of Queensland)

MAppSc (Queensland Inst. of Technology)

BAppSc (Queensland Inst. of Technology)

DSc (QUT)

Projects

'Virtual Sawing' Approach to Predicting Quality of Timber

ACEMS researchers develop a novel 'virtual sawing' approach that allows them to predict the quality of individual timber boards while they are still growing in a tree.

Efficient Bayesian Synthetic Likelihood with Whitening Transformations

ACEMS researchers introduce a new method which significantly improves the computational efficiency of Bayesian synthetic likelihood.

Improving returns from Southern Pine plantations through innovative resource characterisation - virtual log models

Investigation and development of virtual log models for Southern Pines will be based on analysis of data from the cores, peeled billets and approximately 60 sawn logs. We plan to predict log and stem wood properties from the breast height cores taken in the field study. Following this, applied mathematics will be used to investigate the processing of these virtual logs and predict properties for the virtual boards ‘sawn’ from these logs.

The use of 3 dimensional motion analysis to determine whether quantitative criteria can be found for the Prechtl’s Qualitative Assessment Method of General Movement (GMsA) classifications of writhing and fidgeting in the normative infant population

Prechtl’s Method on the Qualitative Assessment of General Movement (GMsA) of infants (Alexander et al., 1993, Darsaklis et al., 2011, Einspieler, 2004, Haywood and Getchell, 2009, Piek, 2006) is one method of early prediction of neurodevelopmental outcomes in infants. This movement assessment uses video recordings and the naked eye of the assessor and has established 2 distinct movement classifications (Writhing and Fidgeting) which occur in healthy infants aged from term to 1 month and 3 months, respectively.

Publications

Book Chapters

2019

Liu, F., & Turner I. (2019). Numerical methods for time-space fractional partial differential equations. (Karniadakis, G. Em, Ed.).Handbook of Fractional Calculus with Applications. Volume 3, Numerical Methods, 209-248. doi: 10.1515/9783110571684-008

Liu, F., & Turner I. (2019). Numerical methods for time-space fractional partial differential equations. (Karniadakis, G. Em, Ed.).Handbook of Fractional Calculus with Applications. Volume 3: Numerical Methods, 209–248. doi: 10.1515/9783110571684-008

Invited talks, refereed proceedings and other conference outputs

2019

Lawson, B. A. J., Burrage K., Burrage P., Turner I., Santos R. W. dos, Jakes D., et al. (2019). Mathematically Coping with Microfibrosis. Mathematical and Computational Biology Seminar Series.

2018

Turner, I., Xie H.,.Pearcy M., .Grote R., McGrath M., &.Colditz P. (2018). Can Three-Dimensional Motion Analysis and Fuzzy entropy detect movement differences in General Movement Assessment Categories in the normative infant population?. World Congress of Biomechanics.

2015

Psaltis, S. T. P., Taylor J.T., Matyka M.M., Turner I., & Bednarz T. (2015). Computational fluid dynamics and GPUs. Eleventh International Conference on CFD in the Minerals and Process Industries.

Journal Articles

In Press

Feng, L.B., Zhuang P., Liu F., Turner I., & Li J. (In Press). High-order numerical methods for the Riesz space fractional advection–dispersion equations. Computers & Mathematics with Applications. doi: 10.1016/j.camwa.2016.01.015

2021

March, N. G., Carr E. J., & Turner I. (2021). A fast algorithm for semi-analytically solving the homogenization boundary value problem for block locally-isotropic heterogeneous media. Applied Mathematical Modelling. 92, 23-43. doi: 10.1016/j.apm.2020.09.022

2020

Gao, X., Liu F., Li H., Liu Y., Turner I., & Yin B. (2020). A novel finite element method for the distributed-order time fractional Cable equation in two dimensions. Computers & Mathematics with Applications. 80(5), 923 - 939. doi: 10.1016/j.camwa.2020.04.019

Zheng, R., Liu F., Jiang X., & Turner I. (2020). Finite difference/spectral methods for the two-dimensional distributed-order time-fractional cable equation. Computers & Mathematics with Applications. 80(6), 1523 - 1537. doi: 10.1016/j.camwa.2020.06.017

Feng, L.., Liu F.., & Turner I. (2020). An unstructured mesh control volume method for two- dimensional space fractional diffusion equations with variable coefficients on convex domains. Journal of Computational and Applied Mathematics. 364, 112319. doi: 10.1016/j.cam.2019.06.035

Yang, S., Liu F., Feng L., & Turner I. (2020). Efficient numerical methods for the nonlinear two-sided space-fractional diffusion equation with variable coefficients. Applied Numerical Mathematics. 157, 55 - 68. doi: 10.1016/j.apnum.2020.05.016

Li, L., Liu F., Feng L., & Turner I. (2020). A Galerkin finite element method for the modified distributed-order anomalous sub-diffusion equation. Journal of Computational and Applied Mathematics. 368, 112589. doi: 10.1016/j.cam.2019.112589

Yang, Z., Liu F., Nie Y., & Turner I. (2020). An unstructured mesh finite difference/finite element method for the three-dimensional time-space fractional Bloch-Torrey equations on irregular domains. Journal of Computational Physics. 408, 109284. doi: 10.1016/j.jcp.2020.109284

Du, H., Perré P., & Turner I. (2020). Modelling fungal growth with fractional transport models. Communications in Nonlinear Science and Numerical Simulation. 84, 105157. doi: 10.1016/j.cnsns.2019.105157

2019

Zeng, F., Turner I., Burrage K., & Wright S. J. (2019). A discrete least squares collocation method for two-dimensional nonlinear time-dependent partial differential equations. Journal of Computational Physics. 394, 177 - 199. doi: 10.1016/j.jcp.2019.05.044

Li, T.., Wang Y.., Liu F.., & Turner I. (2019). Novel parameter estimation techniques for a multi-term fractional dynamical epidemic model of dengue fever. Numerical Algorithms. 82(4), 1467-1495. doi: 10.1007/s11075-019-00665-2

Feng, L.B., Liu F., & Turner I. (2019). Finite difference/finite element method for a novel 2D multi-term time-fractional mixed sub-diffusion and diffusion-wave equation on convex domains. Communications in Nonlinear Science and Numerical Simulation. 70, 354 - 371. doi: 10.1016/j.cnsns.2018.10.016

Shi, Y.., Liu F.., Zhao Y., Wang F.., & Turner I. (2019). An unstructured mesh finite element method for solving the multi-term time fractional and Riesz space distributed-order wave equation on an irregular convex domain. Applied Mathematical Modelling. 73, 615-636. doi: 10.1016/j.apm.2019.04.023

Guo, L., Zeng F., Turner I., Burrage K., & Karniadakis G. Em (2019). Efficient Multistep Methods for Tempered Fractional Calculus: Algorithms and Simulations. SIAM Journal on Scientific Computing. 41(4), A2510 - A2535. doi: 10.1137/18M1230153

Wijerathne, W.. D. C. C., Rathnayaka C.. M., Karunasena H.. C. P., Senadeera W.., Sauret E.., Turner I., et al. (2019). A coarse-grained multiscale model to simulate morphological changes of food-plant tissues undergoing drying. Soft Matter. 15(5), 901 - 916. doi: 10.1039/C8SM01593G

2018

Chen, S.., Liu F., Turner I., & Anh V.. (2018). A fast numerical method for two-dimensional Riesz space fractional diffusion equations on a convex bounded region. Applied Numerical Mathematics. 134, 66 - 80. doi: 10.1016/j.apnum.2018.07.007

Chen, S., Liu F., Turner I., & Hu X. (2018). Numerical inversion of the fractional derivative index and surface thermal flux for an anomalous heat conduction model in a multi-layer medium. Applied Mathematical Modelling. 59, 514 - 526. doi: 10.1016/j.apm.2018.01.045

Zeng, F., Turner I., Burrage K., & Karniadakis G. Em (2018). A New Class of Semi-Implicit Methods with Linear Complexity for Nonlinear Fractional Differential Equations. SIAM Journal on Scientific Computing. 40(5), A2986 - A3011. doi: 10.1137/18M1168169

Hassard, P., Turner I., Farrell T., & Lester D. (2018). An efficient boundary element formulation for doubly-periodic two-dimensional Stokes flow with pressure boundary conditions. Journal of Computational Physics. 365, 18 - 36. doi: 10.1016/j.jcp.2017.12.010

Qin, S., Liu F., & Turner I. (2018). A 2D multi-term time and space fractional Bloch-Torrey model based on bilinear rectangular finite elements. Communications in Nonlinear Science and Numerical Simulation. 56, 270 -286. doi: 10.1016/j.cnsns.2017.08.014

Psaltis, S. T. P., Turner I., Carr E. J., Farrell T., Hopewell G., & Bailleres H. (2018). Three-dimensional virtual reconstruction of timber billets from rotary peeling. Computers and Electronics in Agriculture. 152, 269-280. doi: 10.1016/j.compag.2018.07.018

Feng, L.B., Liu F., Turner I., & Zheng L. (2018). Novel numerical analysis of multi-term time fractional viscoelastic non-newtonian fluid models for simulating unsteady MHD Couette flow of a generalized Oldroyd-B fluidAbstract. Fractional Calculus and Applied Analysis. 21(4), 1073 - 1103. doi: 10.1515/fca-2018-0058

Burrage, K., Burrage P., Turner I., & Zeng F. (2018). On the Analysis of Mixed-Index Time Fractional Differential Equation Systems. Axioms. 7(2), 25. doi: 10.3390/axioms7020025

Zeng, F., Turner I., & Burrage K. (2018). A Stable Fast Time-Stepping Method for Fractional Integral and Derivative Operators. Journal of Scientific Computing. 77(1), 283 - 307. doi: 10.1007/s10915-018-0707-9

Feng, L.B., Liu F., Turner I., Yang Q., & Zhuang P. (2018). Unstructured mesh finite difference/finite element method for the 2D time-space Riesz fractional diffusion equation on irregular convex domains. Applied Mathematical Modelling. 59, 441 - 463. doi: 10.1016/j.apm.2018.01.044

Zhang, H., Liu F., Jiang X., Zeng F., & Turner I. (2018). A Crank–Nicolson ADI Galerkin–Legendre spectral method for the two-dimensional Riesz space distributed-order advection–diffusion equation. Computers & Mathematics with Applications. 76(10), 2460 - 2476. doi: 10.1016/j.camwa.2018.08.042

Fan, W.., Liu F., Jiang X.., & Turner I. (2018). Some novel numerical techniques for an inverse problem of the multi-term time fractional partial differential equation. Journal of Computational and Applied Mathematics. 336, 114-126. doi: 10.1016/j.cam.2017.12.034

Redman, A. L., Bailleres H., Gilbert B. P., Carr E. J., Turner I., & Perré P. (2018). Finite element analysis of stress-related degrade during drying of Corymbia citriodora and Eucalyptus obliqua. Wood Science and Technology. 52(1), 67 - 89. doi: 10.1007/s00226-017-0955-0

2017

Qin, S., Liu F., Turner I., Vegh V., Yu Q., & Yang Q. (2017). Multi-term time-fractional Bloch equations and application in magnetic resonance imaging. Journal of Computational and Applied Mathematics. 319, 308 - 319. doi: 10.1016/j.cam.2017.01.018

Fan, W., Liu F., Jiang X., & Turner I. (2017). A novel unstructured mesh finite element method for solving the time-space fractional wave equation on a two-dimensional irregular convex domain. Fractional Calculus and Applied Analysis. 20(2), doi: 10.1515/fca-2017-0019

Cusimano, N.., Burrage K., Turner I., & Kay D.. (2017). On reflecting boundary conditions for space-fractional equations on a finite interval: Proof of the matrix transfer technique. Applied Mathematical Modelling. 42, 554 - 565. doi: 10.1016/j.apm.2016.10.021

Li, J.., Liu F., Feng L.B., & Turner I. (2017). A novel finite volume method for the Riesz space distributed-order diffusion equation. Computers & Mathematics with Applications. 74(4), 772 - 783. doi: 10.1016/j.camwa.2017.05.017

Li, J.., Liu F., Feng L.B., & Turner I. (2017). A novel finite volume method for the Riesz space distributed-order advection–diffusion equation. Applied Mathematical Modelling. 46, 536 - 553. doi: 10.1016/j.apm.2017.01.065

Zhao, Y., Zhang Y., Liu F., Turner I., Tang Y., & Anh V.. (2017). Convergence and superconvergence of a fully-discrete scheme for multi-term time fractional diffusion equations. Computers & Mathematics with Applications. 73(6), 1087 - 1099. doi: 10.1016/j.camwa.2016.05.005

Psaltis, S. T. P., Farrell T., Burrage K., Burrage P., McCabe P., Moroney T. J., et al. (2017). Using population of models to investigate and quantify gas production in a spatially heterogeneous coal seam gas field. Applied Mathematical Modelling. 49, 338 - 353. doi: 10.1016/j.apm.2017.05.005

Redman, A. L., Bailleres H., Perré P., Carr E., & Turner I. (2017). A relevant and robust vacuum-drying model applied to hardwoods. Wood Science and Technology. 51(4), 701 - 719. doi: 10.1007/s00226-017-0908-7

Feng, L.B., Zhuang P.., Liu F., Turner I., Anh V.., & Li J.. (2017). A fast second-order accurate method for a two-sided space-fractional diffusion equation with variable coefficients. Computers & Mathematics with Applications. 73(6), 1155 - 1171. doi: 10.1016/j.camwa.2016.06.007

Zhang, H.., Liu F., Turner I., Chen S.., & Yang Q. (2017). Numerical simulation of a Finite Moment Log Stable model for a European call option. Numerical Algorithms. 75(3), 569 - 585. doi: 10.1007/s11075-016-0212-x

Foy, B. H., Perré P., & Turner I. (2017). The Meshfree Finite Volume Method with application to multi-phase porous media models. Journal of Computational Physics. 333, 369 - 386. doi: 10.1016/j.jcp.2016.12.045

Qin, S., Liu F., Turner I., Yang Q., & Yu Q. (2017). Modelling anomalous diffusion using fractional Bloch–Torrey equations on approximate irregular domains. Computers & Mathematics with Applications. doi: 10.1016/j.camwa.2017.08.032

Carr, E.J.., Turner I., & Perré P.. (2017). Macroscale modelling of multilayer diffusion: Using volume averaging to correct the boundary conditions. Applied Mathematical Modelling. 47, 600 - 618. doi: 10.1016/j.apm.2017.03.044

Qin, S., Liu F., Turner I., Yu Q., Yang Q., & Vegh V. (2017). Characterization of anomalous relaxation using the time-fractional Bloch equation and multiple echo T ₂ *-weighted magnetic resonance imaging at 7 T. Magnetic Resonance in Medicine. 77(4), 1485 - 1494. doi: 10.1002/mrm.26222

Feng, L.B., Liu F., Turner I., & Zhuang P. (2017). Numerical methods and analysis for simulating the flow of a generalized Oldroyd-B fluid between two infinite parallel rigid plates. International Journal of Heat and Mass Transfer. 115, 1309 - 1320. doi: 10.1016/j.ijheatmasstransfer.2017.08.105

2016

Farquhar, M. E., Moroney T. J., Yang Q., & Turner I. (2016). GPU accelerated algorithms for computing matrix function vector products with applications to exponential integrators and fractional diffusion. SIAM Journal on Scientific Computing. 38(3), doi: 10.1137/15M1021672

Dorr, G. J., Forster W. A., Mayo L. C., McCue S. W., Kempthorne D. M., Hanan J., et al. (2016). Spray retention on whole plants: modelling, simulations and experiments. Crop Protection. 88, 118-130. doi: 10.1016/j.cropro.2016.06.003

Zhao, Y. M., Zhang Y. D., Liu F., Turner I., & Shi D. Y. (2016). Analytical solution and nonconforming finite element approximation for the 2D multi-term fractional subdiffusion equation. Applied Mathematical Modelling. 40(19-20), 8810-8825. doi: 10.1016/j.apm.2016.05.039

Chen, S., Liu F., Jiang X., Turner I., & Burrage K. (2016). Fast finite difference approximation for identifying parameters in a two-dimensional space-fractional nonlocal model with variable diffusivity coefficients. SIAM Journal on Numerical Analysis. 54(2), 606-624. doi: 10.1137/15M1019301

Zhao, Y., Zhang Y., Shi D., Liu F., & Turner I. (2016). Superconvergence analysis of nonconforming finite element method for two-dimensional time fractional diffusion equations. Applied Mathematics Letters. 59, 38-47. doi: 10.1016/j.aml.2016.03.005

Zhang, H., Liu F., Turner I., Chen S., & Yang Q. (2016). Numerical simulation of a Finite Moment Log Stable model for a European call option. Numerical Algorithms. doi: 10.1007/s11075-016-0212-x

Yuan, Z. B., Nie Y. F., Liu F., Turner I., Zhang G. Y., & Gu Y. T. (2016). An advanced numerical modeling for Riesz space fractional advection–dispersion equations by a meshfree approach. Applied Mathematical Modelling. 40(17-18), 7816-7829. doi: 10.1016/j.apm.2016.03.036

Qin, S., Liu F., Turner I., Yu Q., Yang Q., & Vegh V. (2016). Characterization of anomalous relaxation using the time-fractional Bloch equation and multiple echo T *-weighted magnetic resonance imaging at 7 T . Magnetic Resonance in Medicine. doi: 10.1002/mrm.26222

Redman, A. L., Bailleres H., Turner I., & Perré P. (2016). Characterisation of wood–water relationships and transverse anatomy and their relationship to drying degrade. Wood Science and Technology. 50(4), 739-757. doi: 10.1007/s00226-016-0818-0

Carr, E. J., Perré P., & Turner I. (2016). The extended distributed microstructure model for gradient-driven transport: A two-scale model for bypassing effective parameters. Journal of Computational Physics. 327, 810-829. doi: 10.1016/j.jcp.2016.10.004

Zhang, H., Liu F., Turner I., & Yang Q. (2016). Numerical solution of the time fractional Black–Scholes model governing European options. Computers & Mathematics with Applications. 71(9), 1772-1783. doi: 10.1016/j.camwa.2016.02.007

Carr, E. J., & Turner I. (2016). A semi-analytical solution for multilayer diffusion in a composite medium consisting of a large number of layers. Applied Mathematical Modelling. 40(15-16), 7034-7050. doi: 10.1016/j.apm.2016.02.041

2015

Chen, S., Jiang X., Liu F., & Turner I. (2015). High order unconditionally stable difference schemes for the Riesz space-fractional telegraph equation. Journal of Computational and Applied Mathematics. 278, 119-129. doi: 10.1016/j.cam.2014.09.028

Kempthorne, D. M., Turner I., Belward J. A., McCue S. W., Barry M., Young J., et al. (2015). Surface reconstruction of wheat leaf morphology from three-dimensional scanned data. Functional Plant Biology. 42(5), 444-451. doi: 10.1071/FP14058

Zeng, F., Li C., Liu F., & Turner I. (2015). Numerical Algorithms for Time-Fractional Subdiffusion Equation with Second-Order Accuracy. SIAM Journal on Scientific Computing. 37(1), doi: 10.1137/14096390X

Psaltis, S. T. P., Farrell T., Burrage K., Burrage P., McCabe P., Moroney T. J., et al. (2015). Mathematical modelling of gas production and compositional shift of a CSG (coal seam gas) field: Local model development. Energy. 88, 621-635. doi: 10.1016/j.energy.2015.05.107

Hu, X., Liao H-L., Liu F., & Turner I. (2015). A center Box method for radially symmetric solution of fractional subdiffusion equation. Applied Mathematics and Computation. 257, 467-486. doi: 10.1016/j.amc.2015.01.015

Yu, Q., Vegh V., Liu F., Turner I., & Liu H. (2015). A Variable Order Fractional Differential-Based Texture Enhancement Algorithm with Application in Medical Imaging. PLOS ONE. 10(7), doi: 10.1371/journal.pone.0132952

Feng, L.B., Zhuang P., Liu F., & Turner I. (2015). Stability and convergence of a new finite volume method for a two-sided space-fractional diffusion equation. Applied Mathematics and Computation. 257, 52-65. doi: 10.1016/j.amc.2014.12.060

Feng, L.B., Zhuang P., Liu F., Turner I., & Gu Y. T. (2015). Finite element method for space-time fractional diffusion equation. Numerical Algorithms. 72(3), 749-767. doi: 10.1007/s11075-015-0065-8

Liu, Q., Liu F., Gu Y.T., Zhuang P., Chen J., & Turner I. (2015). A meshless method based on Point Interpolation Method (PIM) for the space fractional diffusion equation. Applied Mathematics and Computation. 256, 930-938. doi: 10.1016/j.amc.2015.01.092

Zhuang, P., Liu F., Turner I., & Anh V. (2015). Galerkin finite element method and error analysis for the fractional cable equation. Numerical Algorithms. 72(2), 447-466. doi: 10.1007/s11075-015-0055-x

Cusimano, N., Bueno-Orovio A., Turner I., Burrage K., & Talkachova A. (2015). On the Order of the Fractional Laplacian in Determining the Spatio-Temporal Evolution of a Space-Fractional Model of Cardiac Electrophysiology. PLOS ONE. 10(12), doi: 10.1371/journal.pone.0143938

Hu, X., Liu F., Turner I., & Anh V. (2015). An implicit numerical method of a new time distributed-order and two-sided space-fractional advection-dispersion equation. Numerical Algorithms. 72(2), 393-407. doi: 10.1007/s11075-015-0051-1

Liu, F., Zhuang P., Turner I., Anh V., & Burrage K. (2015). A semi-alternating direction method for a 2-D fractional FitzHugh–Nagumo monodomain model on an approximate irregular domain. Journal of Computational Physics. 293, 252-263. doi: 10.1016/j.jcp.2014.06.001

Zheng, M., Liu F., Turner I., & Anh V. (2015). A Novel High Order Space-Time Spectral Method for the Time Fractional Fokker--Planck Equation. SIAM Journal on Scientific Computing. 37(2), doi: 10.1137/140980545

2014

Kempthorne, D. M., Turner I., & Belward J. A. (2014). A Comparison of Techniques for the Reconstruction of Leaf Surfaces from Scanned Data. SIAM Journal on Scientific Computing. 36(6), B969-B988. doi: 10.1137/130938761

Zeng, F., Liu F., Li C., Burrage K., Turner I., & Anh V. (2014). A Crank--Nicolson ADI Spectral Method for a Two-Dimensional Riesz Space Fractional Nonlinear Reaction-Diffusion Equation. SIAM Journal on Numerical Analysis. 52(6), 2599-2622. doi: 10.1137/130934192

Ye, H., Liu F., Anh V., & Turner I. (2014). Numerical analysis for the time distributed-order and Riesz space fractional diffusions on bounded domains. IMA Journal of Applied Mathematics. 80(3), 825-838. doi: 10.1093/imamat/hxu015

Publicly available softwares

2019

Lawson, B. A. J., Santos R. W. dos, & Turner I. (2019). Two-dimensional monodomain solver.

Technical reports and unrefereed outputs

Welcome to the ACEMS Reportal

All contributors should enter data on all of the Centre’s reportable key performance indicators (KPIs).

Professor Ian Turner

Projects

'Virtual Sawing' Approach to Predicting Quality of Timber

Efficient Bayesian Synthetic Likelihood with Whitening Transformations

Improving returns from Southern Pine plantations through innovative resource characterisation - virtual log models

The use of 3 dimensional motion analysis to determine whether quantitative criteria can be found for the Prechtl’s Qualitative Assessment Method of General Movement (GMsA) classifications of writhing and fidgeting in the normative infant population

Publications

2019

2019

2018

2015

In Press

2021

2020

2019

2018

2017

2016

2015

2014

2019

2019

Research links

Contact

Links

ARC Centre of Excellence for Mathematical & Statistical Frontiers

Welcome to the ACEMS Reportal

All contributors should enter data on all of the Centre’s reportable key performance indicators (KPIs).

Professor Ian Turner

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Links

ARC Centre of Excellence for Mathematical & Statistical Frontiers