Postdoctoral Fellow, Department of Structural Engineering
Ph.D. Thesis
Keywords: Finite Element Methods, Optimization, MATLAB
Summary:
Developed a novel roughness identification algorithm using filtering and optimization techniques.
Designed a nonlinear estimation framework employing filtering techniques and linear algebra tools.
Created a small-scale damage identification methodology integrating filtering with combinatorial optimization concepts.
BRNS Project
Keywords: Data Assimilation, Kalman Filters, Dispersion Modeling, Bayesian Methods, Python
Summary:
Developed and implemented Kalman filter-based frameworks to estimate the source term and simulate radiation dispersion during nuclear hazards.
Focused on real-time modeling of radiation spread with uncertainty quantification using Bayesian techniques.
M.Tech Thesis
Keywords: Uncertainty Analysis, Finite Elements, MATLAB
Summary:
Investigated stochastic finite element methods to model and quantify variability in structural material properties.
Focused on enhancing the reliability and robustness of structural analysis under uncertainty.