Dr Steven Psaltis
Faculty of Science,
School of Mathematical Sciences
Biography
Dr Steven Psaltis is a research fellow in the ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) 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.
Personal details
Positions
- Postdoctoral Research Fellow
Faculty of Science,
School of Mathematical Sciences - Lecturer
Faculty of Science,
School of Mathematical Sciences
Discipline
Applied Mathematics, Statistics, Pure Mathematics
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
Qualifications
- PhD (Queensland University of Technology)
- Bachelor of Applied Science (Honours) Mathematics (Queensland University of Technology)
Professional memberships and associations
Teaching
- Multivariable and vector calculus
- Ordinary and partial differential equations
- Linear algebra
- Engineering mathematics
Recent Units
- MXB202 Advanced Calculus (Semester 2, 2018)
- MXB201 Advanced Linear Algebra – guest lectures (Semester 1, 2018) with Prof Ian Turner
- MXB202 Advanced Calculus (Semester 2, 2017) with Prof Troy Farrell
- PVB204 Electromagnetism (Semester 2, 2015 and 2016) with Prof Zoran Ristovski
- MAB413 Differential Equations (Semester 2, 2014)
- MAB613 Partial Differential Equations (Semester 2, 2014) with Prof Troy Farrell
Publications
- 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 () p269
- 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 () p1
- 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 () p338
- 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) p1
- 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 () p621
- Vezzoli M, Farrell T, Baker A, Psaltis S, Martens W, Bell J, (2013) Optimal catalyst thickness in titanium dioxide fixed film reactors: Mathematical modelling and experimental validation, Chemical Engineering Journal, 234 () p57
- 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) pA33
- Farrell T, Psaltis S, (2010) A comparison of the Nernst-Planck and Maxwell-Stefan approaches to modelling multicomponent charge transport in electrolyte solutions. In V Badescu & M Paulescu, Physics of Nanostructured Solar Cells, Nova Science Publishers p327
QUT ePrints
For more publications by Steven, explore their research on ePrints (our digital repository).