Research Scholar with expertise in Uncertainty Quantification | HPC | Bayesian Inference | Machine Learning | Neural Network Models
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Carleton University
- Ottawa
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stochasticPoisson
stochasticPoisson PublicLinear and Nonlinear Poisson problems with diffusion coefficient modelled as random process solved using multilevel domain decomposition-based methods.
C++ 1
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conferences
conferences PublicThis is the repository to save all the presented slides and related files for all conferences.
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filters
filters PublicContains python/jupyter notebook codes for data assimilation algorithms such as Kalman filter, Ensemble Kalman filter etc.
Jupyter Notebook
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stochasticCOVID
stochasticCOVID PublicContains codes to compute the stochastic response of a PDE-based compartmental model of COVID-19 with random diffusion coefficients
MATLAB
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