Dr. Pushpendra Kumar
Assistant Professor
Google Scholar: https://scholar.google.com/citations?hl=en&user=K2Sn5acAAAAJ
Scopus: https://www.scopus.com/authid/detail.uri?authorId=57808158300
ORCID: https://orcid.org/0000-0002-4946-766X
Vidwan: https://vidwan.inflibnet.ac.in/profile/160107
|
U.G |
Mathematics-I |
|
Mathematics-II |
|
|
Mathematics-III |
|
|
Mathematics-IV |
|
|
Linear Algebra |
|
|
Object Oriented Programming C++ |
|
|
Data Visualization |
|
|
Calculus and Matrices, Calculus and Geometry, Numerical Methods,LaTeX and Mathematica |
|
|
Real Analysis |
|
|
P.G |
Advanced Mathematics |
|
Research Methodology |
|
|
Linear Algebra |
|
Organization |
Start Date |
End Date |
Designation |
Nature of Work |
|
Maulana Azad National Institute of Technology Bhopal |
January, 2019 |
Continue |
Assistant Professor |
Regular |
|
Department of Mathematics, Keshav Mahavidyalaya, Delhi University |
July, 2016 |
January, 2019 |
Assistant Professor |
Adhoc |
|
Name of the Student |
Topic |
Year of Award |
Co-Supervisor (if any) |
|
Muzammil Khan |
Novel Algorithms for Optical Flow Estimation and Its Applications |
Submitted |
|
|
Bhavana Singh |
Fractional Order Optical Flow |
2025 |
|
|
Nitish Kumar Mahala |
Fire-Smoke Detection |
Ongoing |
|
|
Nikita Yadav |
Weather Forecasting |
Ongoing |
|
|
Ankit Kumar |
Smoke Pattern Analysis |
Ongoing |
|
|
Sonu Kumar |
Image Restoration |
Ongoing |
|
| Shalesh Kumar | Image Restoration | Ongoing | Dr. Madhvi Shakya |
| Manzil Pradhan | Block Chain | Ongoing | Dr. S Devidas |
| Pooja Malviya | Image Processing | Ongoing |
|
Title |
Sponsoring Agency |
Duration |
Amount |
Co-PI (if any) |
|
Prediction of Fire Signatures Using Smoke Features Based on Fractional Order Optical Flow in Videos |
DST-SERB |
Three Years |
26.29 lacs |
|
|
Development of Fractional Order Regularization Optical Flow Model Based Smoke Detection System in Surveillance Videos |
DAE -NBHM |
Three Years |
15.15 lacs |
|
|
Study of Regularization Parameter Value for Some Inverse Problems in Imaging |
Institute Seed Money Grant, MANIT Bhopal |
Two Years |
5 lacs |
|
|
Title |
Sponsoring Agency |
Duration |
Amount |
Co-Investigator (if any) |
|
Authors |
Title | Journal | Vol. No. Page No. | Year |
SCI/Scopus |
Impact Factor |
|
Nikita Yadav and Pushpendra Kumar |
A Fractional Order Model Based on Salinity of Ocean for Climate Change |
Procedia Computer Science journal |
pp.4238-4247 |
2025 |
Scopus |
|
|
Ankit Kumar, Pushpendra Kumar |
Weather Classification with Convolutional Neural Network for Autonomous Driving |
Procedia Computer Science journal |
Aceepted |
2025 |
Scopus |
|
|
Bhavana Singh and Pushpendra Kumar |
A Unified Framework for Lung Disease Screening using CXR images |
Engineering Applications of Artificial |
161, pp 112073 |
2025 |
SCIE
|
8.0 |
|
Bhavana Singh, Pushpendra Kumar and Shailendra Kumar Jain |
Combining the Variational and Deep Learning Techniques for Classification of Video Capsule Endoscopic Images |
Journal of Imaging Informatics in Medicine |
pp. 1-20 |
2025 |
SCIE
|
4.4 |
|
Bhavana Singh and Pushpendra Kumar |
Optical Flow with Non-local Weight and Fractional Order Regularization: a Variational Model with Superpixel Algorithm for Various Application Oriented Spectrum |
Arabian Journal for Science and Engineering |
pp.1-31 |
2024 |
SCIE
|
2.6 |
|
Bhavana Singh and Pushpendra Kumar |
A non-local weighted fractional order variational model for motion estimation |
Procedia Computer Science journal |
260, pp. 865–872 |
2025 |
Scopus |
|
|
Pushpendra Kumar, Dipshi Jayaswal, Muzammil Khan and Bhavana Singh |
A Comparative Analysis of Different CNN Based Models for COVID-19 Detection using CXR and CT Images, |
Procedia Computer Science journal |
235, pp. 3163-3173 |
2024 |
Scopus |
|
|
Muzammil Khan, Nitish Kumar Mahala and Pushpendra Kumar |
Caputo Derivative Based Nonlinear Fractional Order Variational Model for Motion Estimation in Various Application Oriented Spectrum |
Sadhana |
49(1) |
2023 |
SCIE |
1.6 |
|
Muzammil Khan, Bhavana Singh and Pushpendra Kumar |
Ensemble Learning and Skip Connection Based CNN Framework for COVID-19 Identification Using CXR and CT Images |
International Journal of Computational Vision and Robotics |
DOI:10.1504/IJCVR.2024.10063592 |
2023 |
Scopus |
|
|
Muzammil Khan and Pushpendra Kumar |
A level set based fractional order variational model for motion estimation inapplication oriented spectrum |
Expert Systems with Applications |
219, 119628
|
2023 |
SCIE |
8.5 |
|
Muzammil Khan and Pushpendra Kumar |
A nonlinear modeling of fractional order based variational model in optical flow estimation |
Optik- International Journal for Light and Electron Optics |
261, 169136
|
2022
|
SCI |
3.1 |
|
Pushpendra Kumar and Muzammil Khan |
Charbonnier-Marchaud Based Fractional Variational Model for Motion Estimation in Multispectral Vision System |
Journal of Physics: Conference Series |
2327(1), 012031
|
2022 |
Scopus |
0.482 |
|
Pushpendra Kumar |
Development of a thermal- visible video surveillance system based on fractional order TV-model |
Journal of Physics: Conference Series |
1950(1),012026, |
2021 |
Scopus |
0.482 |
|
Pushpendra Kumar and Sanjeev Kumar |
A modified variational functional for estimating dense and discontinuity preserving optical flow in various spectrum |
International Journal of Electronics and Communications |
70(3),289-30 |
2016 |
SCIE |
3.2 |
|
Title |
Year |
Agency |
Co-Investigator(if any) |
Published/Granted |
