The University of Calgary is a leading Canadian university located in the nation's most enterprising city. The university has a clear strategic direction to become one of Canada's top five research universities by 2016, where research and innovative teaching go hand in hand, and where we fully engage the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.'
Consulting interests in machine learning and data science applied to unsteady aerodynamics, heat exchangers, civil structures, pipeline scour and flow induced vibration, alternative energy harvesting technologies, UAV aerodynamics, aerodynamics in sports, biomedical engineering. Research Interests: flow diagnostics, bluff body aerodynamics, vortex dynamics, fluid structure interaction, passive flow control, machine learning control with genetic algorithms, closed-loop feedback control. Experimental methods expertise: Tomographic Particle Image Velocimetry (Tomo-PIV), 2D time-resolved PIV, Laser Doppler Velocimetry (LDV), multi-component force balance measurement systems, cyber-physical systems, and flow visualization techniques (see links below). Computational modeling expertise: Laminar Navier-Stokes Simulation, unsteady Reynolds Averaged Navier Stokes (RANS) simulation, Detached Eddy Simulation (DES), Large Eddy Simulation (LES). Development of Experimental Methods: 1. Flow visualization techniques designed to enable simultaneous surface and three-dimensional wake flow visualization in water applications. 2. Reconstruction of three-dimensional flow fields from orthogonal planar PIV measurements using flow decomposition, pattern recognition, and conditional averaging. 3. Sensor-based flow-field predictions using Linear Stochastic Estimation 4. Sensor-based estimation of aerodynamic drag and rolling resistance for automotive and cycling applications
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