AO

Andrew Ooi

University of Melbourne

Melbourne VIC, Australia
4.60/5 · 5 reviews

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5.008/20/2025

Makes complex ideas simple and clear.

4.005/21/2025

Always approachable and supportive.

5.003/31/2025

Brings real-world insights to the classroom.

4.002/27/2025

Always supportive and inspiring to all.

5.002/4/2025

Great Professor!

About Andrew

Professor Andrew Ooi is a Professor in the Department of Mechanical Engineering at the University of Melbourne's Melbourne School of Engineering. He serves as Associate Dean (Academic) and is a key member of the Fluid Mechanics research group. His primary research interest is turbulent flow, with a focus on computational fluid dynamics applied to complex engineering problems. Ooi's work encompasses high-fidelity simulations of fluid phenomena, including multiregime flows, confined cylinder wakes, bubble transport, and gravity currents. He collaborates on interdisciplinary projects bridging mechanical engineering and biomedical applications, such as fluid modeling to predict heart disease outcomes through supercomputing and laser imaging of blocked arteries, and optimizing blood flow in stented arteries using optical coherence tomography data. Additional research includes bubble clouds in ocean waves, surrogate models for multiregime flow problems, and symbolic turbulence model development for complex-geometry flows using language model-based transfer learning.

Ooi has made significant contributions to the field through numerous peer-reviewed publications. Key works include 'Asymmetric wakes in flows past circular cylinders confined in channels' (2023), 'Mixing of a cylindrical gravity current in a stratified ambient' (2024), 'Spectral Analysis of Confined Cylinder Wakes' (2025), 'Non-Newtonian Endothelial Shear Stress Simulation' (2022), 'The inverse diffusion time scale of velocity gradients in isotropic turbulence' (1997), 'Dynamics of the velocity gradient tensor invariants in isotropic turbulence' (1998), 'Changes in the boundary-layer structure at the edge of the ultimate regime in vertical natural convection' (2017), 'Surrogate models for multiregime flow problems' (2025), 'Symbolic turbulence model development for complex-geometry flows exploiting language model-based transfer learning' (recent), and 'Development of an OpenFOAM Tool for Bubble Transport Studies in a Propeller Flow'. His research has practical impacts, including advancements in cardiovascular modeling and ocean engineering. Ooi received a Citation for Outstanding Contributions to Student Learning from the Australian Awards for University Teaching, recognizing his excellence in engineering education. He actively engages in industry collaborations and serves as a leader in student engagement within the school.

Professional Email: a.ooi@unimelb.edu.au

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