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- Steven Psaltis
Dr Steven Psaltis
Queensland University of Technology
I’m a research fellow in the Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) at Queensland University of Technology (QUT). I have expertise in the mathematical modelling and numerical simulation of multiscale, multiphase, and multicomponent systems, with applications in porous media flow.
I’m proficient in a range of programming languages, including C/C++ and MATLAB, with experience in computer graphics and visualisation using OpenGL. My research interests include mathematical modelling of flow in porous media, parameter estimation through data assimilation, mathematical modelling and simulation of electrochemical systems, GPGPU computing, and virtual reconstruction and visualisation of objects from image data using mathematical techniques.
Find out more at: https://stevepsaltis.github.io
Research Interests:
Applied mathematics
computational methods and applications
Computational Simulation Sciences: High-Performance Computing
electro-chemical systems
Immersive Visualisation
Industrial applications
Multiscale modelling techniques
Physical modelling of flows in porous media
Visualisation
Qualifications:
PhD (Queensland University of Technology)
Bachelor of Applied Science (Honours)
Bachelor of Mathematics / Bachelor of IT (Queensland University of Technology)
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
Psaltis, S. T. P., Turner I., Farrell T., Carr E. J., Bailleres H., Kumar C., et al.
(2020). Prediction of sawn timber MOE from increment cores.
The 20th Biennial Computational Techniques and Applications Conference (CTAC2020).
Psaltis, S. T. P., Timms R., Please C., & S. Chapman J.
(2020). Homogenisation of connected, layered materials with large rapid spatial variations in conductivity - simplified models of cylindrical batteries.
ANZIAM 2020.
Bednarz, T., Kim J., Brown R., James A., Burrage K., Clifford S., et al.
(2016). Virtual reality for conservation.
Web3D 2016: 21st International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
Psaltis, S. T. P., Vercelloni J., Kim J., Brown R., James A., Burrage K., et al.
(2016). Virtual reality for conservation.
International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
Psaltis, S. T. P., Burrage K., & Farrell T.
(2015). Mathematical modelling of gas production in a Coal Seam Gas (CSG) field.
Eleventh International Conference on CFD in the Minerals and Process Industries. doi: 10.1016/j.energy.2015.05.107
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
Psaltis, S. T. P., Timms R., Please C., & S. Chapman J.
(Submitted). Homogenisation of spirally-wound high-contrast layered materials.
SIAM Journal on Applied Mathematics.
Psaltis, S. T. P., Kumar C., Turner I., Carr E. J., Farrell T., Brancheriau L., et al.
(2021). A new approach for predicting board MOE from increment cores.
Annals of Forest Science. 78(3), 78. doi: 10.1007/s13595-021-01093-w
Kumar, C., Psaltis S. T. P., Bailleres H., Turner I., Brancheriau L., Hopewell G., et al.
(2021). Accurate estimation of log MOE from non-destructive standing tree measurements.
Annals of Forest Science. 78(1), 8. doi: 10.1007/s13595-021-01031-w
Conway, E., Farrell T., & Psaltis S. T. P.
(2018). Mathematical Modeling of Ion Transport through Nanopores.
The Journal of Physical Chemistry C. 122(41), 23728 - 23738. doi: 10.1021/acs.jpcc.8b05954
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
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
Tredenick, E. C., Farrell T., W. Forster A., & Psaltis S. T. P.
(2017). Nonlinear Porous Diffusion Modeling of Hydrophilic Ionic Agrochemicals in Astomatous Plant Cuticle Aqueous Pores: A Mechanistic Approach.
Frontiers in Plant Science. 8, doi: 10.3389/fpls.2017.00746
Drovandi, C. C., Cusimano N., Psaltis S. T. P., Lawson B. A. J., Pettitt A.N., Burrage P., et al.
(2016). Sampling methods for exploring between-subject variability in cardiac electrophysiology experiments.
Journal of The Royal Society Interface. 13(121), doi: 10.1098/rsif.2016.0214
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
Technical reports and unrefereed outputs
Bailleres, H., Lee D., Kumar C., Psaltis S. T. P., Hopewell G., Brancheriau L., et al.
(2019). Improving returns from southern pine plantations through innovative resource characterisation.
