World's Best Scientists 2026 revealed!

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Computer Science

D-Index
66
Citations
15761
World Ranking
2348
National Ranking
18

Overview

Deepak Gupta is affiliated with Maharaja Agrasen Institute of Technology (MAIT) in India. Their research primarily spans the fields of computer science and engineering, with significant contributions to artificial intelligence, computer networks and communications, computer vision and pattern recognition, electrical and electronic engineering, and radiology, nuclear medicine, and imaging.

Their work covers key topics including COVID-19 diagnosis using AI, network security and intrusion detection, topic modeling, IoT and edge/fog computing, brain tumor detection and classification, anomaly detection techniques and applications, and advanced neural network applications.

Frequent co-authors collaborating with Deepak Gupta include Ashish Khanna, K. Shankar, Aditya Khamparia, Joel J. P. C. Rodrigues, and Victor Hugo C. de Albuquerque.

Deepak Gupta has published extensively in various venues, with a higher volume of publications in:

  • arXiv (Cornell University)
  • IEEE Access
  • Expert Systems
  • SSRN Electronic Journal
  • Soft Computing

Some of the recent scientific papers authored or co-authored by Deepak Gupta include:

  • "CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection", 2020, IEEE Access
  • "A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images", 2020, Applied Sciences
  • "An optimized dense convolutional neural network model for disease recognition and classification in corn leaf", 2020, Computers and Electronics in Agriculture
  • "Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model", 2020, Pattern Recognition Letters
  • "Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things", 2020, IEEE Access

Deepak Gupta has contributed to several book publications mainly through Springer International Publishing, Springer Nature, and Springer Science+Business Media. Notable titles include:

  • "Cognitive Internet of Medical Things for Smart Healthcare", 2020
  • "Data Analytics and Management", 2021
  • "International Conference on Innovative Computing and Communications", multiple editions between 2020 and 2022
  • "Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications", 2022
  • "Explainable Edge AI: A Futuristic Computing Perspective", 2022
  • "Pattern Recognition and Data Analysis with Applications", 2022

Best Publications

  • A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

    Vikash Chouhan;Sanjay Kumar Singh;Aditya Khamparia;Deepak Gupta

  • CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

    Abdul Waheed;Muskan Goyal;Deepak Gupta;Ashish Khanna

  • Identifying pneumonia in chest X-rays: A deep learning approach

    Amit Kumar Jaiswal;Prayag Tiwari;Sachin Kumar;Deepak Gupta

  • Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

    Aditya Khamparia;Subrato Bharati;Prajoy Podder;Deepak Gupta

  • Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model

    K. Shankar;Abdul Rahaman Wahab Sait;Deepak Gupta;S.K. Lakshmanaprabu

  • An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

    Abdul Waheed;Muskan Goyal;Deepak Gupta;Ashish Khanna

  • Seasonal Crops Disease Prediction and Classification Using Deep Convolutional Encoder Network

    Aditya Khamparia;Gurinder Saini;Deepak Gupta;Ashish Khanna

  • Optimal feature-based multi-kernel SVM approach for thyroid disease classification

    K. Shankar;S. K. Lakshmanaprabu;Deepak Gupta;Andino Maseleno

  • Optimal Feature Selection-Based Medical Image Classification Using Deep Learning Model in Internet of Medical Things

    R. Joshua Samuel Raj;S. Jeya Shobana;Irina Valeryevna Pustokhina;Denis Alexandrovich Pustokhin

  • Adapting weather conditions based IoT enabled smart irrigation technique in precision agriculture mechanisms

    Bright Keswani;Ambarish G. Mohapatra;Amarjeet Mohanty;Ashish Khanna

  • An efficient Lightweight integrated Blockchain (ELIB) model for IoT security and privacy

    Sachi Nandan Mohanty;K.C. Ramya;S. Sheeba Rani;Deepak Gupta

  • Sound Classification Using Convolutional Neural Network and Tensor Deep Stacking Network

    Aditya Khamparia;Deepak Gupta;Nhu Gia Nguyen;Ashish Khanna

  • Artificial Intelligence and Internet of Things Enabled Disease Diagnosis Model for Smart Healthcare Systems

    Romany Fouad Mansour;Adnen El Amraoui;Issam Nouaouri;Vicente Garcia Diaz

  • An Effective Training Scheme for Deep Neural Network in Edge Computing Enabled Internet of Medical Things (IoMT) Systems

    Irina Valeryevna Pustokhina;Denis Alexandrovich Pustokhin;Deepak Gupta;Ashish Khanna

  • Optimized cuttlefish algorithm for diagnosis of Parkinson’s disease

    Deepak Gupta;Arnav Julka;Sanchit Jain;Tushar Aggarwal

  • Improved diagnosis of Parkinson's disease using optimized crow search algorithm

    Deepak Gupta;Shirsh Sundaram;Ashish Khanna;Aboul Ella Hassanien

  • Hiding Data in Images Using Cryptography and Deep Neural Network

    Kartik Sharma;Ashutosh Aggarwal;Tanay Singhania;Deepak Gupta

  • Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning

    Aditya Khamparia;Deepak Gupta;Victor Hugo C. de Albuquerque;Arun Kumar Sangaiah

  • Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment

    Karrar Hameed Abdulkareem;Mazin Abed Mohammed;Ahmad Salim;Muhammad Arif

  • Emotion Recognition and Detection Methods: A Comprehensive Survey

    Anvita Saxena;Ashish Khanna

  • IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification

    Dac Nhuong Le;Velmurugan Subbiah Parvathy;Deepak Gupta;Ashish Khanna

  • Effective Features to Classify Big Data Using Social Internet of Things

    S. K. Lakshmanaprabu;K. Shankar;Ashish Khanna;Deepak Gupta

Frequent Co-Authors

Joel J. P. C. Rodrigues
Joel J. P. C. Rodrigues Federal University of Piauí
K. Shankar
K. Shankar Saveetha University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Aboul Ella Hassanien
Aboul Ella Hassanien Cairo University
Oscar Castillo
Oscar Castillo Instituto Tecnológico de Tijuana
Fadi Al-Turjman
Fadi Al-Turjman Near East University
Mazin Abed Mohammed
Mazin Abed Mohammed University of Anbar
M. Shamim Hossain
M. Shamim Hossain King Saud University
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah

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