Harsh Panwar

I am a final year undergraduate research student at Jaypee University of Information Technology, where I am studying computer science and engineering.

Research in human-centred AI and deep learning in the context of computer vision and medical imaging. I'm particularly interested in understanding human behaviour in the context of human-machine collaboration, and engineering learning-based methods that enrich that collaboration.

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Research

Currently I am working on Capsule Networks and it's applications. Few of my recent papers are highlighted below.



Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Harsh Panwar, P.K.Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Vaishnavi Singh
Chaos, Solitons & Fractals, 2020
PDF / WHO / PubMed

A deep learning neural network-based method nCOVnet, an alternative fast screening method that can be used for detecting the COVID-19 by analyzing the X-rays of patients which will look for visual indicators found in the chest radiography imaging of COVID-19 patients.

AquaVision: Automating the detection of waste in water bodies using deep transfer learning
Harsh Panwar, P.K.Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Prakhar Bhardwaj, Sudhansh Sharma, Iqbal H.Sarker
Case Studies in Chemical and Environmental Engineering, 2020
PDF / Dataset

We have applied proposed state-of-the-art deep learning-based object detection model known as AquaVision over AquaTrash dataset. Proposed model detects and classifies the different pollutants and harmful waste items floating in the oceans and on the seashores with mean Average Precision (mAP) of 0.8148.

A Deep Learning and Grad-CAM based Color Visualization Approach for Fast Detection of COVID-19 Cases using Chest X-ray and CT-Scan Images
Harsh Panwar, P.K.Gupta, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Prakhar Bhardwaj, Vaishnavi Singh
Chaos, Solitons & Fractals, 2020
PDF / WHO / PubMed

A deep transfer learning algorithm that accelerates the detection of COVID-19 cases by using X-ray and CT-Scan images of the chest. It is because, in COVID-19, initial screening of chest X-ray (CXR) may provide significant information in the detection of suspected COVID-19 cases.



Service
Reviewer, CITISIA IEEE 2020

Reviewer, Journal of X-Ray Science and Technology

Reviewer, CMES-Computer Modeling in Engineering & Sciences


Motivated by Jon Baron's website.
Source code: here