QUT - Academic profiles - Dr Steven Psaltis

Dr Steven Psaltis is a senior research fellow at Queensland University of Technology (QUT). He has expertise in the mathematical modelling and numerical simulation of multiscale, multiphase, and multicomponent systems, with applications in porous media flow. He is proficient in a range of programming languages, including C/C++ and MATLAB, with experience in computer graphics and visualisation using OpenGL. His research interests include flow in porous media, parameter estimation through data assimilation, modelling and simulation of electrochemical systems, GPGPU computing, and virtual reconstruction and visualisation of objects from image data. His current research focus is on aluminium hydroxide precipitation and aluminium electrolysis.

+61 7 3138 8313

steven.psaltis@qut.edu.au

View location details(QUT staff and student access only)

QUT alumni

Currently accepting research students

Personal details

Positions

Senior Research Fellow
Faculty of Engineering,
School of Mech., Medical & Process Engineering

Research field

Applied mathematics, Statistics, Pure mathematics

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2020

Qualifications

PhD (Queensland University of Technology)
Bachelor of Applied Science (Honours) Mathematics (Queensland University of Technology)

Teaching

Teaching Areas

Multivariable and vector calculus
Ordinary and partial differential equations
Linear algebra
Engineering mathematics

Recent Units

EGB242 Signal Analysis (Semester 1, 2022)
PVB204 Electromagnetism (Semester 2, 2021)
MXB328 Work Integrated Learning in Applied and Computational Mathematics (Semester 2, 2021)
MXB202 Advanced Calculus (Semester 2, 2019)

Publications

Timms, R., Psaltis, S., Please, C. & Chapman, S. (2023). A mechanical model for reinforced, expanding spirally-wound layered materials. Journal of the Mechanics and Physics of Solids, 175. https://eprints.qut.edu.au/239064
Psaltis, S., Timms, R., Please, C. & Chapman, S. (2022). Homogenization of Spirally Wound High-Contrast Layered Materials. SIAM Journal on Applied Mathematics, 82(1), 168–193. https://eprints.qut.edu.au/232439
Psaltis, S., Kumar, C., Turner, I., Carr, E., Farrell, T., Brancheriau, L., Bailleres, H. & Lee, D. (2021). A new approach for predicting board MOE from increment cores. Annals of Forest Science, 78(3). https://eprints.qut.edu.au/226675
Kumar, C., Psaltis, S., Bailleres, H., Turner, I., Brancheriau, L., Hopewell, G., Carr, E., Farrell, T. & Lee, D. (2021). Accurate estimation of log MOE from non-destructive standing tree measurements. Annals of Forest Science, 78(1). https://eprints.qut.edu.au/208871
Psaltis, S., Turner, I., Carr, E., 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. https://eprints.qut.edu.au/115906
Tredenick, E., Farrell, T., Forster, W. & Psaltis, S. (2017). Nonlinear porous diffusion modeling of hydrophilic ionic agrochemicals in astomatous plant cuticle aqueous pores: A mechanistic approach. Frontiers in Plant Science, 8, 1–14. https://eprints.qut.edu.au/106946
Psaltis, S., Farrell, T., Burrage, K., Burrage, P., McCabe, P., Moroney, T., Turner, I., Mazumder, S. & Bednarz, T. (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. https://eprints.qut.edu.au/107689
Drovandi, C., Cusimano, N., Psaltis, S., Lawson, B., Pettitt, T., Burrage, P. & Burrage, K. (2016). Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments. Journal of the Royal Society Interface, 13(121), 1–12. https://eprints.qut.edu.au/90999
Psaltis, S., Farrell, T., Burrage, K., Burrage, P., McCabe, P., Moroney, T., Turner, I. & Mazumder, S. (2015). Mathematical modelling of gas production and compositional shift of a CSG (coal seam gas) field: Local model development. Energy, 88, 621–635. https://eprints.qut.edu.au/86569
Psaltis, S. & Farrell, T. (2011). Comparing charge transport predictions for a ternary electrolyte using the Maxwell-Stefan and Nernst-Planck equations. Journal of the Electrochemical Society, 158(1). https://eprints.qut.edu.au/38835

QUT ePrints

For more publications by Steven, explore their research in QUT ePrints (our digital repository).

View more publications

Filter publications:

2024

Psaltis, S., Steinberg, T., Rainey, T., Will, G., Bodisco, T. & Gillespie, A. (2024). Impact of particle morphology on aluminium hydroxide size distribution. Proceedings of the 12th International AQW Conference and Exhibition Alumina 2024, Alumina Quality Workshop (AQW). https://eprints.qut.edu.au/251446
Grant, P., Psaltis, S., Shirmohammadi, M. & Turner, I. (2024). Image-based mesh generation for constructing a virtual representation of engineered wood product samples. European Journal of Wood and Wood Products, Article 106702, 82(6), 1963–1980. https://eprints.qut.edu.au/252004

2023

Timms, R., Psaltis, S., Please, C. P. & Chapman, S. J. (2023). A mechanical model for reinforced, expanding spirally-wound layered materials. Journal of the Mechanics and Physics of Solids, Article 105269, 175. https://eprints.qut.edu.au/239064

2022

Psaltis, S., Timms, R., Please, C. & Chapman, S. J. (2022). Homogenization of Spirally Wound High-Contrast Layered Materials. SIAM Journal on Applied Mathematics, 82(1), 168–193. https://eprints.qut.edu.au/232439

2021

Kumar, C., Psaltis, S., Bailleres, H., Turner, I., Brancheriau, L., Hopewell, G., Carr, E. J., Farrell, T. & Lee, D. J. (2021). Accurate estimation of log MOE from non-destructive standing tree measurements. Annals of Forest Science, Article 8, 78(1). https://eprints.qut.edu.au/208871
Kumar, C., Psaltis, S., Bailleres, H., Turner, I., Brancheriau, L., Hopewell, G., Carr, E. J., Farrell, T. & Lee, D. J. (2021). Correction to: Accurate estimation of log MOE from non-destructive standing tree measurements (Annals of Forest Science, (2021), 78, 1, (8), 10.1007/s13595-021-01031-w). Annals of Forest Science, 78(1).
Psaltis, S., Kumar, C., Turner, I., Carr, E. J., Farrell, T., Brancheriau, L., Bailleres, H. & Lee, D. J. (2021). A new approach for predicting board MOE from increment cores. Annals of Forest Science, Article 78, 78(3). https://eprints.qut.edu.au/226675
Ryan, M., Farrell, T., Psaltis, S., Newton, B., Ryan, H. & Steinberg, T. A. (2021). Modeling the Thermal Condition of a Nonmetal Prior to Ignition in Gaseous Oxygen. Flammability and Sensitivity of Materials in Oxygen-Enriched Atmospheres, 170–180. ASTM International. https://eprints.qut.edu.au/230636

2019

Bailleres, H., Lee, D., Kumar, C., Psaltis, S., Hopewell, G., Brancheriau, L., Turner, I., Farrell, T., Carr, E., Downes, G., Hogg, B., Redman, A., Leggate, W. & Francis, L. (2019). Improving returns from southern pine plantations through innovative resource characterisation. Forest and Wood Products Australia Limited (FWPA). https://eprints.qut.edu.au/241397

2018

Conway, E., Farrell, T. & Psaltis, S. (2018). Mathematical modeling of ion transport through nanopores. Journal of Physical Chemistry C, 122(41), 23728–23738. https://eprints.qut.edu.au/121755
Psaltis, S., Turner, I., Carr, E., 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. https://eprints.qut.edu.au/115906

2017

Tredenick, E., Farrell, T., Forster, W. & Psaltis, S. (2017). Nonlinear porous diffusion modeling of hydrophilic ionic agrochemicals in astomatous plant cuticle aqueous pores: A mechanistic approach. Frontiers in Plant Science, Article 746, 8, 1–14. https://eprints.qut.edu.au/106946
Psaltis, S., Farrell, T., Burrage, K., Burrage, P., McCabe, P., Moroney, T., Turner, I., Mazumder, S. & Bednarz, T. (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. https://eprints.qut.edu.au/107689

2016

Bednarz, T., Kim, J., Brown, R., James, A., Burrage, K., Clifford, S., Davis, J., Mengersen, K., Peterson, E., Psaltis, S. & Vercelloni, J. (2016). Virtual reality for conservation. 177–178. https://eprints.qut.edu.au/98029
Drovandi, C., Cusimano, N., Psaltis, S., Lawson, B., Pettitt, T., Burrage, P. & Burrage, K. (2016). Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments. Journal of the Royal Society Interface, Article 20160214, 13(121), 1–12. https://eprints.qut.edu.au/90999

A complete list of publications is available at: https://www.qut.edu.au/about/our-people/academic-profiles/steven.psaltis

Supervision

Looking for a postgraduate research supervisor?

I am currently accepting research students for Honours, Masters and PhD study.

You can browse existing student topics offered by QUT or propose your own topic.

View student topics

Dr Steven Psaltis

Biography