[Research Projects]
$ Neural Spike Detection in Retina Microscopy
Exploratory analysis of spike detection techniques for light sheet microscopy images of organoids in photoreceptor restoration therapy research.
$ Optimizing Proton Tracking and Energy Determination for Improved Proton CT Imaging
Developing algorithms using image processing and ML to reconstruct proton energy by analyzing trajectories through range detectors.
$ Brain Tumor MRI Classification using Deep Learning
Using LBP, HOG feature descriptors and transfer learning models (VGG-16, ResNet-18, DenseNet-121) for MRI brain tumor classification.
$ Review of Brain Tumor Segmentation Methods
Comparative study of ML and CV methods for brain tumor segmentation using BraTS challenge dataset (2012-2020).
$ INCYDE: Large Scale Cyclone Detection and Intensity Estimation Dataset
Large-scale cyclone detection and intensity estimation dataset using satellite infrared imagery (Currently under review).
$ Cyclone Vision: Deep Learning Framework and Web App
Comprehensive deep learning framework and web application for early cyclone detection and monitoring (Currently under review).
$ HEp-2 Cells Classification using Dictionary Learning
Comparative study of discriminating Dictionary Learning methods for classifying HEp-2 cells staining patterns.
$ Generative Adversarial Networks (GAN) to Denoise Images
Training GAN models to denoise images using ImageNet ILSVRC2013 dataset with added Gaussian noise.
$ Forex Forecasting Using Support Vector Machines
Mathematical implementation of SVC, SVR and Kernels for Forex currency pair forecasting with kernel comparison.
$ Parallel Programming using CUDA
Boolean matrix-vector multiplication (BMV) using Wiedemann method implemented in CUDA at HPCL.