Projects

Face Recognition Psychology
Psychological analysis of face recognition abilities and tendency among humans using survey and psychological techniques with categorical data analysis
Code
Face Recognition Psychology
Neural Uncertainty Representation
Unraveled uncertainty as a major underlying latent variable for explaining emotional dynamics in the Brain, revealing significant represenational difference between age groups
PDF Code Slides
Neural Uncertainty Representation
Digit Span Test
R Shiny Webapp to conduct and provide dashboard results for Digit Span Psychology Test for measuring Short-Term Memory Capacity with detailed analysis of performance
PDF Code Web App
Digit Span Test
Pro-Environmental Attitude Analysis
Study on the pro-environmental attitude among college students of India and suggesting necessary measures leveraging statistical inference techniques.
PDF Code
Pro-Environmental Attitude Analysis
Vector Map Stitching
Created a Webapp for generating global vector map by stitching local locations on map screenshots using Linear Statistical Model and also presenting residual analysis.
PDF Code
Vector Map Stitching
Fair Learning
Devised new definition of model fairness based on Adversarial notion and implemented several fairness techniques like fairness regularization and LFR in NNs
PDF Code
Fair Learning
Alzheimer's Disease Data Analysis
Logistic Regression was used to identify genes responsible for Alzheimer’s Disease with high accuracy, sensitivity and specificity paired with great visualization
Code Blog
Alzheimer's Disease Data Analysis
Image Segmentation
Implemented Expectation-Maximization Algorithm from scratch for image segmentation with Gaussian Mixture Model and its application to Brain Images and written notes
Code
Image Segmentation
Video Background Subtraction
A fast video background subtraction that generates mask of moving foreground objects for surveillance videos using Kernel Density Estimation and thresholding
Code Blog
Video Background Subtraction
Eigenvalues & Eigenvectors, PCA
Eigenvalues and Eigenvector calculation of covariance matrix using several optimized iterative techniques with application to Principal Component Analysis
Code
Eigenvalues & Eigenvectors, PCA