Harsh Panwar

I am a final year B.Tech in Computer Science student at Jaypee University of Information Technology, where I am advised by Dr. Pradeep Kumar Gupta . I am also the Co-Founder of Edustage, recognised and funded by the Government it is India’s first and only AI-based Educational Consultancy.

I’m doing research in human-centred AI and deep learning in the context of Educational Data Science and Medical Image Processing. I'm particularly interested in understanding human behaviour and engineering learning-based methods that enrich the human-machine 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 on Student Engagement in e-learning environments
Prakhar Bhardwaj, P.K.Gupta, Harsh Panwar, Mohammad Khubeb Siddiqui, Ruben Morales-Menendez, Anubha Bhaik
Computers & Electrical Engineering, 2021
PDF

The paper proposes novel state-of-the-art algorithms which compute the Mean Engagement Score (MES) by analyzing the obtained results from facial landmark detection, emotional recognition and the weights from a survey conducted on students over an hour-long class. The proposed automated approach will certainly help educational institutions in achieving an improved and innovative digital learning method.

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