Scientists have struggled to understand turbulence. Whether it is a car or an airplane or a house, every such object of our daily life must pass through some hindrance of the turbulent air. In a clear sky, pilots often encounter turbulence which they cannot detect with radars. At night or in regions with a cool ground, episodes of wind gusting often appear as turbulence bursts. Scientists and engineers have difficulty to measure the turbulence drag experienced by an object - known as drag crisis. Cost of managing turbulene induced drage is extremely high.
I investigate on atmospheric turbulence, and work on the development of a wavelet method to characterize intermittent turbulent events. I am particularly interested on the boundary layer processes lying at the broader context of atmosphere-land-ocean interaction, where relatively small scale processes (<10km) have rich three-dimensional structures, but their influences on the meso-scale dynamics are poorly understood. This includes how the boundary layer turbulence could impact on mesoscale weather events, or possibly penetrate into upper atmosphere through internal wave breaking.
My current research team utilizes object oriented C++ programming, adaptive mesh wavelet method, and/or fully Lagrangian techniques for explaining multi-scale nature of geophysical flows. Potential graduate applicants are encouraged to contact me. However, only candidates with suitable background are expected to get a reply due to the volume of emails I receive. Applicants with appropriate background may also discuss with me on the possibility of receiving slightly higher scholarship compared to current departmental average.
Currently, I am an Associate Professor at the Dept. of Mathematics, Memorial University, Canada. Before joining Memorial, I was a SHARCNET post-doctoral fellow in atmospheric modelling at the Department of Earth and Environmental Sciences , University of Waterloo, Canada.
I received training on computational fluid dynamics, turbulence, and atmospheric science from the U of Alberta, McMaster University, and U of Waterloo, respectively.
My PhD degree focused on the development of a space-time adaptive wavelet method for studying turbulence interemittency.