Zhenquan Li

Zhenquan (Jan) Li is a Senior Lecturer in Mathematics at Charles Sturt University's Computing, Mathematics and Engineering School, affiliated with the Gulbali Research Institute and Data Mining Research Group (DaMRG). His expertise spans computational fluid dynamics, adaptive mesh refinement methods, and mathematical modeling. He holds a PhD in Modelling Shallow Turbulent Fluid Dynamics from the University of Southern Queensland (1996–1999) and a BSc in Mathematics from Hebei University (1978–1982).

Dr. Li's research focuses on developing adaptive mesh refinement techniques for fluid flow simulations, validated through benchmarks like lid-driven cavity flows and square cylinder flows. His work emphasizes accuracy, efficiency, and applications to real-world scenarios, such as precipitation modeling and epidemiological studies. He has held academic positions at the University of the South Pacific and Hebei University, including roles as Associate Professor and Lecturer.

He is an active member of professional societies, including SIAM, the Australian Mathematical Society, and ASTFE. His 2024 Excellence Award recognizes contributions to Digital Health and computational research. His teaching includes courses like Data Analysis for Business and Foundation Mathematics.

Research collaborations span fluid dynamics, geostatistical analysis, and epidemiological modeling. Grants and supervised projects include the Murray Darling Basin PIT data analysis. His labs and teams are part of interdisciplinary groups at the Gulbali Research Institute.