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.
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.
Prizes, awards and special recognition
ACEMS Impact and Engagement Award was awarded to Steven Psaltis. Awarded from the ACEMS.
Invited talks, refereed proceedings and other conference outputs
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.
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.
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