Work Experience

Supervisor: Prof. Thomas Adcock.
EPSRC funded project: Severe Storm Wave Loads on Offshore Wind Turbine Foundations
Reduced order modeling of nonlinear water wave system and wave structure interactions with physics blended machine learning method.
Better interpretation the metocean data with physics based Artificial Neural Network.
Extreme statistics sampling with data driven methods such as probabilistic decomposition and sequential sampling.

Supervisor: Dr. Christopher Vogel
EPSRC funded Supergen ORE project: LoadTide
Compiled actuator line CFD model in supercomputer with boundary condition packages.
Estimated the lift and drag coefficients table with R blade for measured and NACA blades.
Generated Octree mesh and performed over 30 rigorous convergence tests for mesh, turbine blade and tip loss correction parameters.
Optimized boundary conditions in CFD simulations to match the sheared velocity profile and turbulence intensity of all 11 measured the flood and ebb tidal conditions.
The relevant results are published in International Marine Energy Journal.