Worked on convolutional network for time series classification for human activity recognition (HAR).

Master Thesis: Comparison of Convolutional neural network training parameters fordetecting Alzheimer’s disease and effect on visualization Design and implementation of 2D and 3D CNN models Model training on neuroimaging dataset (ADNI) with more than 650 MRI scans Generation of class activation and relevance maps; Saliency map, GuidedBackpropagation, Grad-CAM and LRP Hyper parameter tuning of CNN model and comparison of model accuracies andrelevance maps Interactive web-app as a guide for MRI relevance map visualizations using Bokehframework

Worked in the Distributed & Networked Systems Research Group, University of Sharjah (UOS) on speeding up the run time of Algorithm for the topic 'Wireless Capacity Maximization: A Constrained Genetic Approach' using OpenMP.Worked as part of RISE(Research Internships in Science and Engineering), IAESTE, Rostock.

Administering Windows, Citrix and VMWare