Travis Mitchell

Dr. Travis Mitchell is a Lecturer within the School of Mechanical and Mining Engineering at The University of Queensland (UQ). Travis completed his PhD in multiphase computational fluid dynamics at UQ, as well as a dual degree including a BE(Hons) in mechanical engineering and BSc in Mathematics. During his PhD, he interned at the Helmholtz Institue for Renewable Energy Production in Nuremberg (Germany), presented invited talks at the Warsaw University of Technology, Massachusetts Institutte of Technology, and stayed with collaborators at the University of Pennsylvania. His doctoral research focused on the development of a simulation methodology for capturing liquid-gas interactions, which he applied in the context of resource extraction. Dr Mitchell's research is focused on the development, implementation, and application of numerical models to study complex fluid flows, with a particular interest in porous media, multiphase, and multiphysics problems. Travis was recognised at the 18th International Conference for Mesoscopic Methods in Engineering and Science with the ICMMES-CSRC Award for his work in multiphase lattice Boltzmann methods. His current research applications include the development of gas diffusion electrodes for CO2 electrolysis, bubble-particle interaction in hydrogen formation for methane pyrolysis, particle propagation in the upper respiratory system, and multiphase transport in fractured media. Within the School of Mechanical and Mining Engineering, Dr. Mitchell coordinates the second year course on Computational Engineering and Data Analysis (MECH2700) and lectures into Computational Mechanics (MECH3780) and Computational Fluid Dynamics (MECH6480). Travis is an Associate Fellow of the Higher Education Academy and received an EAIT Citation for Excellence in Student Learning in 2023. Computational fluid dynamics, Lattice Boltzmann methods for fluid flows, Multiphase fluid dynamics, High performance computing, Complex bubble dynamics, Hydrogen generation from bubble reactor devices

[2026] Reduction of outflow boundary influence on aerodynamic performance using neural networks. Bedrunka, Mario C., Reith, Dirk, Foysi, Holger, Łaniewski-Wołłk, Łukasz and Mitchell, Travis (2026). Reduction of outflow boundary influence on aerodynamic performance using neural networks. Physics of Fluids, 38 (1) 015122, 1-39. doi: 10.1063/5.0301808 [2025] Determining the representative elementary area for multiphase flow in gas diffusion layers: leveraging tomographic imaging with the lattice Boltzmann method. Paraskevas, Nicholas, Leonardi, Chris R., Rufford, Thomas E. and Mitchell, Travis R. (2025). Determining the representative elementary area for multiphase flow in gas diffusion layers: leveraging tomographic imaging with the lattice Boltzmann method. The 9th Asian Pacific Congress on