Research

I am developing a Bayesian nonparametric model for sparse functional data. Gaussian process prior is to estimate the mean curve and classify sparse functional observation to different populations.

Projects

Develop Bayesian framework for analyzing sparse and non-sparse functional data using Gaussian process

   Smoothing and supervised classification for functional data

   Develop approximation free for efficient computation for non-sparse (regular) functional data

   Smoothing and classification of spinal bone mineral density measurement

   Smoothing and classification of genes related to phases of yeast cell cycle from temporal gene expression data

   Speech recognition: classifying phonemes from digitized speech

Computationally efficient Gaussian process regression for data with replications

Forecast electricity power load in Texas with TBATS model

Predict breast cancer from digitized image of fine needle aspirate of breast mass

Frailty and GLMM for analyzing under-5 mortality and child malnutrition in Bangladesh