Comprehensive Analysis of Markov Chain Monte Carlo (MCMC) Techniques and Statistical Distributions
Analyzed Markov chain Monte Carlo methods and statistical distributions, focusing on sampling through dependent random sequences.
Research leadership and computational work in algebra, stochastic sampling, and numerical methods.

Funder: Research and Publication Cell, University of Chittagong, Bangladesh.
Analyzed Markov chain Monte Carlo methods and statistical distributions, focusing on sampling through dependent random sequences.
Studied applications of the alternating direction implicit (ADI) finite-difference method, which treats spatial directions implicitly in successive steps.
MATLAB · Python · Mathematica · Fortran
LaTeX · Microsoft Office Suite