R Murugan

@nitpy.ac.in

Associate Professor
National Institute of Technology Puducherry

Dr. R. Murugan was born in Ramanathapuram, Tamilnadu, India, in 1983. He received the B.E. degree in Electronics and Communication Engineering, the M.E. degree in Embedded System Technologies from Anna University, Chennai, Tamilnadu, in 2005, 2010, respectively, and Ph.D. degree from Information and Communication Engineering, Centre for Research, Anna University, Chennai, Tamilnadu, India. He worked as Assistant Professor, in the Department of Electronics and Communication Engineering, Aalim Muhammed Salegh College of Engineering, Chennai from 01st August 2010 to 15th December 2017. He worked as Assistant Professor, in the Department of Electronics and Communication Engineering, Engineering College, Hyderabad from 08th January 2018 to 30th May 2018. He is working as Assistant Professor, in the Department of Electronics and Communication Engineering, National Institute of Technology (NIT), Silchar since 15th June 2018. He published more than 26 journal publications, 22 conferen

EDUCATION

Institution Year Degree
Anna University 2017 Ph. D.
Anna University 2010 M.E.
Anna University 2005 B.E.

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering
131

Scopus Publications

1999

Scholar Citations

24

Scholar h-index

46

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • RGAT: Retinal Graph Attention Networks with Superpixel Based Feature Hierarchies for CVD Associated Retinal Phenotype Classification
    SR Barman, MKA Hridoy, R Murugan
    Cognitive Systems Research, 101474 , 2026
    2026
  • Robust Microaneurysm Detection in Retinal Fundus Images Using an Optimized ResNet50-UNet Model
    R Murugan
    Advances on Signal Processing and Computer Vision: Second International … , 2026
    2026
  • An Underwater Image Enhancement Using Integro-Differential Equation Based
    BA Miah, M Sen¹, R Murugan
    Advances on Signal Processing and Computer Vision: Second International … , 2026
    2026
  • for the Analysis of Fetal Stress Condition from Cardiotocography Signals
    SMSMA Maraikkayar¹, R Tamilselvi¹, MP Beham, R Murugan
    Advances on Signal Processing and Computer Vision: Second International … , 2026
    2026
  • Classification of emphysema disease using stacking classifier through computed tomography images
    R Karthik, R Murugan, T Goel
    Sādhanā 51 (1), 1 , 2026
    2026
  • Classification of Age-Related Macular Degeneration Disease with Deep Learning based on Optical Coherence Tomography images
    K Venneti, R Murugan
    Architecture Image Studies 7 (1), 2479-2488 , 2026
    2026
  • GBLR-Net: Graph-Based Lesion Relationship Network for Diabetic Retinopathy Classification through Segmented Retinal Features
    D Deb, R Murugan
    Architecture Image Studies 7 (1), 2238-2248 , 2026
    2026
  • Enhancing Alzheimer’s disease risk prediction using brain age gap: A randomized regression model for brain age prediction with magnetic resonance imaging
    R Pilli, T Goel, R Murugan
    Computers and Electrical Engineering 130, 110905 , 2026
    2026
  • A real-time screening system for diabetic retinopathy grading using a novel multi-scale feature extraction through retinal fundus images
    NJ Mohan, R Murugan, T Goel, P Roy
    Biomedical Signal Processing and Control 112, 108548 , 2026
    2026
    Citations: 2
  • Segmentation and visualization of Emphysema lesions through Computed Tomography images
    R Karthik, R Murugan, T Goel
    Architecture Image Studies 7 (1), 1339-1352 , 2026
    2026
  • Qualitative Analysis and Numerical Investigation of
    BA Miah, M Sen, R Murugan
    Proceedings of the International Conference on Computational Mathematics and … , 2026
    2026
  • Hybrid feature fusion and randomized regression network for brain age prediction using magnetic resonance imaging: Analyzing age-related cortical structure variations in …
    R Pilli, T Goel, R Murugan, Alzheimer’s Disease Neuroimaging Initiative
    Biomedical Signal Processing and Control 110, 108255 , 2025
    2025
    Citations: 1
  • LightMG-Net: an efficient lightweight deep neural network for multiclass grading of retinal detachment using handcrafted statistical mechanisms
    S Yadav, R Murugan, B Pattanaik, T Ahmed
    Scientific Reports 15 (1), 42193 , 2025
    2025
  • DE-DCGCN-EE: Dual Encoder-Based Dynamic-Channel Graph Convolutional Edge Enhancement Network for Accurate Retinal Vessel Segmentation
    SV Mutyala, R Murugan
    2025 IEEE Silchar Subsection Conference (SILCON), 1-6 , 2025
    2025
  • Attention-Weighted Spectral Token Classification for Non-invasive Detection of Fetal Breathing Movements Using Transformer-Based Acoustic Signal Modeling
    K Shanmugapriya, SM Seeni Mohamed Aliar Maraikkayar, R Tamilselvi, ...
    International Conference on Signal Processing and Computer Vision, 17-35 , 2025
    2025
  • Hybrid Bi-directional GRU-Attention U-Net with MLP Classifier for Accurate Pneumonia Segmentation and Classification
    M Uma Maheshwari, R Tamilselvi, M Parisa Beham, R Murugan
    International Conference on Signal Processing and Computer Vision, 155-174 , 2025
    2025
  • Robust Microaneurysm Detection in Retinal Fundus Images Using an Optimized ResNet50-UNet Model
    D Deb, MKA Hridoy, SR Barman, R Murugan
    International Conference on Signal Processing and Computer Vision, 205-216 , 2025
    2025
  • An Underwater Image Enhancement Using Integro-Differential Equation Based Model
    BA Miah, M Sen, R Murugan
    International Conference on Signal Processing and Computer Vision, 318-327 , 2025
    2025
  • WeeCare: A Benchmark Database for the Analysis of Fetal Stress Condition from Cardiotocography Signals
    SMSMA Maraikkayar, R Tamilselvi, MP Beham, R Murugan
    International Conference on Signal Processing and Computer Vision, 36-51 , 2025
    2025
  • Lung Infectious Diseases Diagnosis with Convolutional Neural Network Using Chest X-Ray Images
    DN Keerthana, DNK Pandiri, RK Karsh, R Murugan
    International Conference on Signal Processing and Computer Vision, 175-185 , 2025
    2025

MOST CITED SCHOLAR PUBLICATIONS

  • OptCoNet: an optimized convolutional neural network for an automatic diagnosis of COVID-19
    T Goel, R Murugan, S Mirjalili, DK Chakrabartty
    Applied intelligence 51 (3), 1351-1366 , 2021
    2021
    Citations: 210
  • Multimodal fusion-based deep learning network for effective diagnosis of Alzheimer’s disease
    S Dwivedi, T Goel, M Tanveer, R Murugan, R Sharma
    IEEE MultiMedia 29 (2), 45-55 , 2022
    2022
    Citations: 109
  • FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans
    R Sharma, T Goel, M Tanveer, R Murugan
    Applied Soft Computing 115, 108099 , 2022
    2022
    Citations: 96
  • Automatic screening of covid-19 using an optimized generative adversarial network
    T Goel, R Murugan, S Mirjalili, DK Chakrabartty
    Cognitive computation 16 (4), 1666-1681 , 2024
    2024
    Citations: 95
  • Deep-learning-based diagnosis and prognosis of Alzheimer’s disease: a comprehensive review
    R Sharma, T Goel, M Tanveer, CT Lin, R Murugan
    IEEE Transactions on Cognitive and Developmental Systems 15 (3), 1123-1138 , 2023
    2023
    Citations: 78
  • FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease
    R Sharma, T Goel, M Tanveer, S Dwivedi, R Murugan
    Applied Soft Computing 106, 107371 , 2021
    2021
    Citations: 75
  • Smart soil image classification system using lightweight convolutional neural network
    DNK Pandiri, R Murugan, T Goel
    Expert Systems with Applications 238, 122185 , 2024
    2024
    Citations: 73
  • E-DiCoNet: Extreme learning machine based classifier for diagnosis of COVID-19 using deep convolutional network
    R Murugan, T Goel
    Journal of Ambient Intelligence and Humanized Computing, 1-12 , 2021
    2021
    Citations: 66
  • DRFL: federated learning in diabetic retinopathy grading using fundus images
    NJ Mohan, R Murugan, T Goel, P Roy
    IEEE Transactions on Parallel and Distributed Systems 34 (6), 1789-1801 , 2023
    2023
    Citations: 56
  • A multi-class deep learning model for early lung cancer and chronic kidney disease detection using computed tomography images
    A Bhattacharjee, S Rabea, A Bhattacharjee, EB Elkaeed, R Murugan, ...
    Frontiers in Oncology 13, 1193746 , 2023
    2023
    Citations: 54
  • Machine learning techniques for the schizophrenia diagnosis: a comprehensive review and future research directions
    S Verma, T Goel, M Tanveer, W Ding, R Sharma, R Murugan
    Journal of Ambient Intelligence and Humanized Computing 14 (5), 4795-4807 , 2023
    2023
    Citations: 50
  • Conv-eRVFL: Convolutional neural network based ensemble RVFL classifier for Alzheimer's disease diagnosis
    R Sharma, T Goel, M Tanveer, PN Suganthan, I Razzak, R Murugan
    IEEE Journal of Biomedical and Health Informatics 27 (10), 4995-5003 , 2022
    2022
    Citations: 48
  • A novel four-step feature selection technique for diabetic retinopathy grading
    N Jagan Mohan, R Murugan, T Goel, S Mirjalili, P Roy
    Physical and Engineering Sciences in Medicine 44 (4), 1351-1366 , 2021
    2021
    Citations: 48
  • Vit-dr: Vision transformers in diabetic retinopathy grading using fundus images
    NJ Mohan, R Murugan, T Goel, P Roy
    2022 IEEE 10th region 10 humanitarian technology conference (R10-HTC), 167-172 , 2022
    2022
    Citations: 46
  • Fast and robust exudate detection in retinal fundus images using extreme learning machine autoencoders and modified KAZE features
    NJ Mohan, R Murugan, T Goel, P Roy
    Journal of Digital Imaging 35 (3), 496-513 , 2022
    2022
    Citations: 43
  • Diagnosis of heart disease using oversampling methods and decision tree classifier in cardiology
    AJ Albert, R Murugan, T Sripriya
    Research on Biomedical Engineering 39 (1), 99-113 , 2023
    2023
    Citations: 41
  • A hybrid approach for lung cancer diagnosis using optimized random forest classification and K-means visualization algorithm
    A Bhattacharjee, R Murugan, T Goel
    Health and Technology 12 (4), 787-800 , 2022
    2022
    Citations: 38
  • Classifier for Face Recognition Based on Deep Convolutional - Optimized Kernel Extreme Learning Machine
    T Goel, R Murugan
    Computers & Electrical Engineering 85, 106640 , 2020
    2020
    Citations: 38
  • Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images
    T Goel, R Murugan, S Mirjalili, DK Chakrabartty
    Applied Soft Computing 115, 108250 , 2022
    2022
    Citations: 34
  • Feature extraction and object detection using fast-convolutional neural network for remote sensing satellite image
    NB Devi, AC Kavida, R Murugan
    Journal of the Indian Society of Remote Sensing 50 (6), 961-973 , 2022
    2022
    Citations: 31