Dr. Mukesh Kumar

About Dr. Mukesh Kumar

Dr. Mukesh Kumar, With an exceptional h-index of 13 and a recent h-index of 10 (since 2020), a distinguished researcher at National Institute of Technology, Patna, specializes in the field of Deep Learning, Machine Learning, Big Data, Software Engineering, Hadoop and Spark.

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

Session-based recommendations with sequential context using attention-driven LSTM

Emotion Recognition from Electroencephalogram (EEG) Signals Using a Multiple Column Convolutional Neural Network Model

Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection

Session-Based Song Recommendation Using Recurrent Neural Network

Application of Convoluted Brainwaves for Efficient Identification of Eating Disorder

Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network

Future trends of path planning framework considering accident attributes for smart cities

Enhanced Multimodal Fake News Detection with Optimal Feature Fusion and Modified Bi-LSTM Architecture

Dr. Mukesh Kumar Information

University

Position

Assistant Professor Dept. of Computer Science and Engineering

Citations(all)

679

Citations(since 2020)

534

Cited By

559

hIndex(all)

13

hIndex(since 2020)

10

i10Index(all)

16

i10Index(since 2020)

11

Email

University Profile Page

National Institute of Technology, Patna

Google Scholar

View Google Scholar Profile

Dr. Mukesh Kumar Skills & Research Interests

Deep Learning

Machine Learning

Big Data

Software Engineering

Hadoop and Spark

Top articles of Dr. Mukesh Kumar

Title

Journal

Author(s)

Publication Date

Session-based recommendations with sequential context using attention-driven LSTM

Computers and Electrical Engineering

Chhotelal Kumar

Mukesh Kumar

2024/4/1

Emotion Recognition from Electroencephalogram (EEG) Signals Using a Multiple Column Convolutional Neural Network Model

SN Computer Science

Sonu Kumar Jha

Somaraju Suvvari

Mukesh Kumar

2024/2

Chronologically Arranged Convolutional Gated Recurrent Network for EEG-Based Schizophrenia Detection

Shipra Swati

Mukesh Kumar

2023/12/4

Session-Based Song Recommendation Using Recurrent Neural Network

Chhotelal Kumar

Mukesh Kumar

Amar Jindal

2023/5/31

Application of Convoluted Brainwaves for Efficient Identification of Eating Disorder

Shipra Swati

Mukesh Kumar

2023/2/17

Next-item recommendation within a short session using the combined features of horizontal and vertical convolutional neural network

Multimedia Tools and Applications

Chhotelal Kumar

Mukesh Kumar

2023/10/5

Future trends of path planning framework considering accident attributes for smart cities

The Journal of Supercomputing

Raushan Kumar Singh

Mukesh Kumar

2023/5/3

Enhanced Multimodal Fake News Detection with Optimal Feature Fusion and Modified Bi-LSTM Architecture

Cybernetics and Systems

Vikash Kishore

Mukesh Kumar

2023/1/31

Domain and label efficient approach for diabetic retinopathy severity detection

Multimedia Tools and Applications

Kriti Ohri

Mukesh Kumar

2023/9/27

Investigating the Addictive behavior of Internet Surfing through Deep Analysis of Brainwaves

Shipra Swati

Mukesh Kumar

2023/3/24

Supervised fine-tuned approach for automated detection of diabetic retinopathy

Multimedia Tools and Applications

Kriti Ohri

Mukesh Kumar

2023/7/5

Innovations in Blockchain Using Artificial Intelligence

Shipra Swati

Mukesh Kumar

2023/3/10

MGU-GNN: Minimal Gated Unit based Graph Neural Network for Session-based Recommendation

Applied Intelligence

Chhotelal Kumar

Md Abuzar

Mukesh Kumar

2023/7/5

Analysis of multichannel neurophysiological signal for detecting epilepsy using deep-nets

International Journal of Information Technology

Shipra Swati

Mukesh Kumar

2023/3

Information Cascading using Classification Approach of Link Prediction

Mukesh Kumar

Naween Kumar

Jitendra Kumar

2022/7/28

Comparative Analysis of Emotional State Classification Using Different Machine Learning Techniques

Chhotelal Kumar

Mukesh Kumar

2022

User session interaction-based recommendation system using various machine learning techniques

Multimedia Tools and Applications

Chhotelal Kumar

Mukesh Kumar

2022/10/19

Robotic Operating System and Human–Robot Interaction for Automated Guided Vehicles (AGVs): An Application of Internet of Things in Industries

Rahul Prakash

Mukesh Kumar

Dharmendra Kumar Dheer

Dilip Kumar Choubey

2022

Early prediction of cognitive impairments using physiological signal for enhanced socioeconomic status

Information Processing & Management

Shipra Swati

Mukesh Kumar

Suyel Namasudra

2022/3/1

Performance Evaluation of Machine Learning Classifiers for Memory Assessment Using EEG Signal

International Journal of Control and Automation

Ravi Singh

Virender Ranga

2018/5

See List of Professors in Dr. Mukesh Kumar University(National Institute of Technology, Patna)

Co-Authors

H-index: 35
Santanu Kumar Rath

Santanu Kumar Rath

National Institute of Technology, Rourkela

H-index: 11
Dr. Shashank Mouli Satapathy

Dr. Shashank Mouli Satapathy

VIT University

H-index: 6
Anand Tirkey

Anand Tirkey

National Institute of Technology, Rourkela

H-index: 4
Ransingh Biswajit Ray

Ransingh Biswajit Ray

National Institute of Technology, Rourkela

H-index: 3
Shipra Swati

Shipra Swati

National Institute of Technology, Patna

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