Profiles

Developing and using shapelet based image analysis to determine patterns in material surfaces

Multiscale two-phase gas-liquid flows are commonly found in numerous chemical engineering applications such as bubble columns. Therefore, understanding the hydrodynamic behaviour of such systems is essential in the design, operation and control of these processes. Since experimentation is time-consuming, costly and unable to provide information about the continuously varying spatial fields, Computational Fluid Dynamic (CFD) is a desirable approach to study these multiscale systems.

• TBD

• 2020, Bachelor of Science (BSc), Physics and Astronomy, University of Waterloo

Computational simulations have evidenced promise in the design, study, prediction, and evaluation of an aerated stirred bioreactor for microorganisms as they provide information that is difficult or impossible to obtain through experiments, such as spatial variation in velocity, concentration, and growth rate of the microorganism. While microorganisms are travelling across the reactor, their intracellular states do not change suddenly, but rather dynamically.

I am working on efficient and scalable preconditioning techniques for the Hybridizable Discontinuous Galerkin discretizations of the incompressible Navier-Stokes equations.  I am interested in both mathematical and parallelization-optimization aspects of the topic.