Research output per year
Research output per year
Personal profile
Personal profile
Dr Li's areas of expertise are in the fields of mathematical modelling, computational science and neural networks. His current research interest focuses on the applications of the adaptive mesh refinement methods he proposed based on the qualitative theory of differential equations. The accuracy and reliability of the methods have been verified by some test benchmarks. These methods can be applied to any mathematical models containing continuity equation for steady flow or incompressible fluid. In our daily life, the methods can be used to investigate any water or air flows with speed less than 370km per hour.
Research Interests
- Modelling and simulation
- Computational methods for fluid flow
- Applications of computational methods in practice
Professional Information
External Appointments & Memberships:
- Member of Society for Industrial and Applied Mathematics (SIAM).
- Member of Australian Mathematical Society (Aus MS)
- Member of American Society of Thermal and Fluids Engineers (ASTFE)
Teaching
- QBM117/QBM120 Business Statistics
- MTH101 Computer Aided Mathematics 1 with Applications
- MTH309 Principles of Operations Research
Education/Academic qualification
University of Southern Queensland
2000
Bachelor of Science, HeBei University of Chinese Medicine
1982
External positions
Associate Professor, University of the South Pacific
Apr 2004 → Jan 2011Fingerprint
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Research output
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Accuracy verification of a 2D adaptive mesh refinement method using backward-facing step flow of low reynolds numbers
Li, Z. & Li, M., 11 Jun 2020, In: International Journal of Computational Methods. p. 1-12 12 p., 2041012.Research output: Contribution to journal › Article › peer-review
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Reliable and accurate computations for fluid flows
Li, Z., 27 Nov 2020, p. 26. 1 p.Research output: Other contribution to conference › Abstract
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Visual analysis and prediction of PIT data from Murray Darling Basin
Huang, X., Baumgartner, L. J., Li, Z., Robinson, W. & Pomorin, K., 26 Nov 2020, p. 7. 1 p.Research output: Other contribution to conference › Abstract
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Accuracy verification of a 2D adaptive mesh refinement method using backward facing step flows of low Reynolds numbers
Li, J. & Li, M., 2019, Proceedings of the International Conference on Computational Methods: The 10th International Conference on Computational Methods. Liu, G. R., Cui, F. & Xu, G. (eds.). USA, Vol. 6.Research output: Book chapter/Published conference paper › Conference paper › peer-review
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CFD analysis of 2D unsteady flow past a square cylinder at low Reynolds numbers
Li, Z. & Wood, R., Jan 2018, AMCSE 2017 - International Conference on Applied Mathematics, Computational Science and Systems Engineering. Bardis, N. (ed.). EDP Sciences, Vol. 16. 3 p. 02003Research output: Book chapter/Published conference paper › Conference paper › peer-review
Activities
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International Journal for Numerical Methods in Fluids (Journal)
Jan Li (Reviewer)
Feb 2020 → Nov 2020Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
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Ocean Engineering (Journal)
Jan Li (Reviewer)
25 Dec 2020 → …Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
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International Conference on Recent Trends in Applied Mathematical Sciences
Jan Li (Keynote speaker)
Sep 2020Activity: Participating in or organising an event › Conference/Symposium › Academic
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Mathematical Problems in Engineering (Journal)
Jan Li (Reviewer)
21 Sep 2020 → …Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
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International Journal for Numerical Methods in Fluids (Journal)
Jan Li (Reviewer)
Jan 2019 → Dec 2019Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee