ProfessorsProfessors of National Institute of Technology, PatnaPiyush Kumar

Piyush Kumar

National Institute of Technology, Patna

H-index: 10

Asia-India

About Piyush Kumar

Piyush Kumar, With an exceptional h-index of 10 and a recent h-index of 6 (since 2020), a distinguished researcher at National Institute of Technology, Patna, specializes in the field of Volume visualization, Image processing, computer graphics, Virtual reality.

His recent articles reflect a diverse array of research interests and contributions to the field:

GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation

A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems

DLRFNet: deep learning with random forest network for classification and detection of malaria parasite in blood smear

Enhancing security of medical images using deep learning, chaotic map, and hash table

A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor

Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification

Experience Replay-based Deep Reinforcement Learning for Dialogue Management Optimisation

Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics

Piyush Kumar Information

University	National Institute of Technology, Patna
Position	Assistant Professor in
Citations(all)	469
Citations(since 2020)	226
Cited By	339
hIndex(all)	10
hIndex(since 2020)	6
i10Index(all)	10
i10Index(since 2020)	6
Email	Access Email
University Profile Page	National Institute of Technology, Patna
Google Scholar	View Google Scholar Profile

Piyush Kumar Skills & Research Interests

Volume visualization

Image processing

computer graphics

Virtual reality

Top articles of Piyush Kumar

Title	Journal	Author(s)	Publication Date
GIFNet: an effective global infection feature network for automatic COVID-19 lung lesions segmentation	Medical & Biological Engineering & Computing	Anita Murmu Piyush Kumar	2024/2/3
A novel compression-based 2D-chaotic sine map for enhancing privacy and security of biometric identification systems	Journal of Information Security and Applications	Mobashshirur Rahman Anita Murmu Piyush Kumar Nageswara Rao Moparthi Suyel Namasudra	2024/2/1
DLRFNet: deep learning with random forest network for classification and detection of malaria parasite in blood smear	Multimedia Tools and Applications	Anita Murmu Piyush Kumar	2024/1/10
Enhancing security of medical images using deep learning, chaotic map, and hash table	Mobile Networks and Applications	Piyush Kumar Mobashshirur Rahman Suyel Namasudra Nageswara Rao Moparthi	2023/9/22
A novel Gateaux derivatives with efficient DCNN-Resunet method for segmenting multi-class brain tumor	Medical & Biological Engineering & Computing	Anita Murmu Piyush Kumar	2023/8
Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification		Anita Murmu Piyush Kumar	2023/12/7
Experience Replay-based Deep Reinforcement Learning for Dialogue Management Optimisation	ACM Transactions on Asian and Low-Resource Language Information Processing	Shrikant Malviya Piyush Kumar Suyel Namasudra Uma Shanker Tiwary	2022
Momentum Residual Embedding with Angular Marginal Loss for Plant Pathogen Biometrics		Shitala Prasad Pankaj Pratap Singh Piyush Kumar	2022/5/29
2D-CTM and DNA-based Computing for Medical Image Encryption		Mobashshirur Rahman and Piyush Kumar	2022
2D Convolutional LSTM-based approach for human action recognition on various sensor data		Ajeet Pandey Piyush Kumar and Shitala Prasad	2022
Deep learning model-based segmentation of medical diseases from MRI and CT images		Anita Murmu Piyush Kumar	2021/12/7