Dr. R. MURUGAN

murugan hd1Assistant Professor

Bio-Medical Imaging Laboratory (BIOMIL) https://sites.google.com/view/biomedicalimaginglab

Department of Electronics and Communications Engineering

National Institute of Technology (NIT) Silchar

Silchar, Assam, 788010, India

Email: murugan.rmn@ece.nits.ac.in

Phone: +91-9600081925

Date of Joining: 15/06/2018

Academic Experience: 10+ years

Personal Webpage: http://ec.nits.ac.in/murugan/

ORCID ID: https://orcid.org/0000-0002-9341-3810

ACADEMIC QUALIFICATIONS

  • Ph.D.:    Anna University, Chennai, India, 2017
  • M.E.:      Anna University, Chennai, India, 2010
  • B.E.:       Anna University, Chennai, India, 2005

EXPERIENCE

  • June 2018 – Present : Assistant Professor, Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Silchar, Silchar, Assam, 788010, India
  • December 2020 -December 2021: Adjunct Lecturer, UCSI University, Cheras 56000, Kuala Lumpur, Malaysia.
  • January 2018 – May 2018Assistant Professor, Department of Electronics and Communication Engineering, St.Peter’s Engineering College, Hyderabad, Telangana, 500043, India

RESEARCH INTERESTS AND SPECIALIZATION

  • Medical Image Processing
  • Digital Image Processing
  • Internet of Things/Medical Things
  • Automatic Driverless Assistance System
  • Design of exoskeleton
  • Multimedia Compression Techniques
  • Machine learning / Deep learning.
  • VLSI / Embedded Signal Processing

BIOGRAPHICAL SKETCH

Dr. R. Murugan was born in Ramanathapuram, Tamilnadu, India. He received the B.E. degree in Electronics and Communication Engineering, the M.E. degree in Embedded System Technologies from Anna University, Chennai, Tamilnadu, India and the 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, St.Peter’s 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, Assam, India since 15th June 2018. He published a more than 105 research articles in various international, national journals and conferences as on date. He is the fellow of IETE, an active member of IEEE and the life member of Indian Society for Technical Education (ISTE), India. He is the chair of IEEE Signal Processing Society of joint chapter of IEEE Kolkata section and IEEE Silchar Subsection. He is the Co-Chair of student activities committee of IEEE Silchar Sub-Section.

He received an outstanding reviewer award from Bio-medical signal processing and control – Elsevier Journal and also received the best paper award from various flagship International Conferences. He is the Invited reviewer of many journals which includes IEEE Transactions on Medical Imaging, IEEE Internet of Things, Journal of IEEE Access, Bio-medical signal processing and control etc. He is the recipient of young researcher fellowship form DST-SERB, Govt. of India for the project “A Nationwide Study on Retinal Detachment in India with Emphasis on the Risk of the Fellow Eye through Fundus Images using Deep Learning”. He is the recipient of NVIDIA Academic Hardware Grant Program for the project Diagnosis of retinal pathologies using Deep learning.

He published more than 45 journal publications, 49 conference proceedings, 2 books, 11 book chapters and 6 patents in his credit. His area of interest which includes Bio-medical signal and image processing, medical imaging, Retinal image analysis, computer vision, pattern recognition, machine learning and deep learning.

PROJECTS

  1. Project Title: Prediction of cardiovascular risk factors from retinal fundus photographs using deep learning algorithms, NIT Silchar, Funding Amount: Rs.25000, Type of funding: Internal, Start Date: 14/11/2022, End Date: 13/11/2023 (Ongoing).
  2. Project Title: Diagnosis of retinal pathologies using Deep learning, Funding agency: NVIDIA Corporation, USA,  under the academic grant program, Granted on 11/03/2022 (Ongoing), Type of funding: External..
  3. Project Title: A Nationwide Study on Retinal Detachment in India with Emphasis on the Risk of the Fellow Eye through Fundus Images using Deep Learning, Funding agency: Science and Engineering Research Board (SERB)-DST, under start-up research grant, Sanction Grant no. SRG/2020/000617,  Rs.16,48,250, from 03/12/2020 (Ongoing), Type of funding: External.
  4.  Project Title: A cost-effective system for early-stage plant disease diagnosis using spectral analysis, Funding Agency: Under Graduate Research Council (UGRC), NIT Silchar, Funding Amount: Rs.25000, Type of funding: Internal, Start Date: 07/02/2020, End Date: 30/06/2022 (Completed).

PATENTS

 

S.No Patent file No Title of Patent Role Date of filling Date of Publication
1 201841029579 Washbowl from              E-Waste Materials Inventor 07/08/2018 17/08/2018
2 201841027780 Seismic Isolator Device for Seismic Protection Inventor 24/07/2018 03/08/2018
3 201841043549 Autonomous Aerial Vehicle Inventor 19/11/2018 30/11/2018
4 201941005768 An aramid fiber reinforced abs composite material fabrication of unmanned aerial vehicle(UAV) using 3D printing technology Inventor 14/02/2019 22/02/2019
5 202231035556 A Device For Assisting Respiration Inventor 21/06/2022 16/08/2022
6 202022104672 A Dual Output Multistage Switched Capacitor Quadratic Boost DC-DC Converter Device Inventor 29/06/2022 21/09/2022

 

PUBLICATIONS (JOURNALS/CONFERENCES)

International Journals

  1. Anitha Juliette, R Murugan, Sripriya T,  “Diagnosis of heart disease using oversampling methods and decision tree classifier in cardiology”, Research on Biomedical Engineering, 2022 (Accepted on 27/10/2022)
  2. N Jagan Mohan, R Murugan, Tripti Goel, M TParthapratim Roy”An Efficient Microaneurysms Detection Approach in Retinal Fundus Images”,  International Journal of Machine Learning and Cybernetics”, 2022. https://doi.org/10.1007/s13042-022-01696-3
  3. Rahul Sharma, Tripti Goel, M Tanveer, P N Suganthan, I Razzak, R Murugan, “Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer’s Disease Diagnosis”, IEEE Journal of Biomedical and Health Informatics (J-BHI), 2022. (Accepted for publication on 13/10/2022).
  4. M Dhanalakshmi Bhavani, R Murugan, Tripti Goel, “An Efficient Dehazing Method of Single Image using Multi-Scale Fusion Technique’, Journal of Ambient Intelligence and Humanized Computing, 2022. https://doi.org/10.1007/s12652-022-04411-w
  5. Bhavani MD, Murugan R, Goel T. Robust U-Net: Development of robust image enhancement model using modified-Net architecture. Concurrency and Computation: Practice and Experience. 2022;e7347. https://doi.org/10.1002/cpe.7347
  6. Ananya Bhattacharjee, R Murugan, Badal Soni, Tripti Goel, “Ada-GridRF: A Fast and Automated Adaptive Boost Based Grid Search Optimized Random Forest Ensemble model for Lung Cancer Detection”, Physical and Engineering Sciences in Medicine, 2022. https://doi.org/10.1007/s13246-022-01150-2
  7. Ananya Bhattacharjee, R Murugan, Tripti Goel, “A Hybrid approach for lung cancer diagnosis using optimized Random Forest classification and K-means visualization algorithm”, Health and Technology, 2022. https://doi.org/10.1007/s12553-022-00679-2
  8. Bharatha Devi N, Celine Kavida A, R. Murugan, “Feature Extraction and Object Detection using Fast-Convolutional Neural Network for Remote Sensing Satellite Image”, Journal of the Indian Society of Remote Sensing, 2022. https://doi.org/10.1007/s12524-022-01506-x
  9. Sonal Yadav, Sanjoy Das, R Murugan, Sumantra Dutta Roy, Monika Agrawal, Tripti Goel, Anurag Dutta, “Performance analysis of deep neural networks through transfer learning in retinal detachment diagnosis using fundus images”, Sādhanā, Vol. 47, (49), pp.1-13, 2022.   https://doi.org/10.1007/s12046-022-01822-5
  10. Tripti Goel, R. Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty, Multi-COVID-Net: Multi-objective optimized network for COVID-19 diagnosis from chest X-ray images, Applied Soft Computing, Volume 115, 2022, 108250.https://doi.org/10.1016/j.asoc.2021.108250
  11. Shubham Dwivedi, Tripti Goel, M. Tanveer, R Murugan, Rahul Sharma, “Multi-modal fusion based deep learning network for effective diagnosis of Alzheimer’s disease”, IEEE MultiMedia          (Early Access) 2021. https://ieeexplore.ieee.org/document/9729422
  12. R Murugan. MicroNet: microaneurysm detection in retinal fundus images using convolutional neural network. Soft Computing, 26, 1057–1066 (2022). https://doi.org/10.1007/s00500-022-06752-2
  13. N Jagan Mohan, R Murugan, Tripti Goel, Parthapratim Roy, “Fast and Robust Exudate Detection in Retinal Fundus Images using Extreme Learning Machine Auto Encoders and Modified KAZE features”, Journal of Digital Imaging, 2021. https://doi.org/10.1007/s10278-022-00587-x
  14. Rahul Sharma, Tripti Goel, M Tanveer; R Murugan, “FDN-ADNet: Fuzzy LTSVM based Deep learning Network for prognosis of the Alzheimer’s Disease using the sagittal plane of MRI scans”, Applied Soft Computing Journal, Vol.115, p.108099, 2021.https://doi.org/10.1016/j.asoc.2021
  15. N Jagan Mohan, R Murugan, Tripti Goel, Seyedali Mirjalili, Parthapratim Roy, “A Novel Four-Step Feature Selection Technique for Diabetic Retinopathy Grading”, Physical and Engineering Sciences in Medicine,2021. Vol. 44, pp.1351–1366. https://doi.org/10.1007/s13246-021-01073-4
  16. R Murugan, Tripti Goel, Seyedali Mirjalili, Depa Kumar Chakrabartty, “WOANet: Whale Optimized Deep Neural Network for the Classification of COVID-19 from Radiography Images” Biocybernetics and Biomedical Engineering, Vol.41, Issue 4, 2021, pp. 1702-1718  https://doi.org/10.1016/j.bbe.2021.10.004
  17. Ananya Bhattacharjee, R Murugan, Swanirbhar Majumder, Tripti Goel, “Neural network-based computer-aided lung cancer detection”, Research on Biomedical Engineering, Vol.37pp.657–671 2021. https://doi.org/10.1007/s42600-021-00173-0
  18. Khanjan Choudhury, R.Murugan, M.A.Laskar, R.H.Laskar. A comparative analysis between late fusion of features approach and ensemble of multiple classifiers approach for image classification. Concurrency and Computation: Practice and Experience, Wiley Journal. 2021;e6371. https://doi.org/10.1002/cpe.6371
  19. Rahul Sharma, Tripti Goel, M. Tanveer, Shubham Dwivedi, R Murugan, “FAF-DRVFL: Fuzzy Activation function based Deep Random Vector Functional Links Network for Early Diagnosis of Alzheimer Disease”, Applied Soft Computing Journal, 2021: 107371,  https://doi.org/10.1016/j.asoc.2021.107371
  20. R Murugan, Tripti Goel, “E-DiCoNet: Extreme Learning Machine based classifier for Diagnosis of COVID-19 using Deep Convolutional Network”, Journal of Ambient Intelligence and Humanized Computing. 12pages8887–8898, 2021. https://doi.org/10.1007/s12652-020-02688-3
  21. Tripti Goel, R Murugan, Seyedali Mirjalili, Depa Kumar Chakrabartty, “Automatic Screening of COVID-19 using an Optimized Generative Adversarial Network”, Cognitive Computation. https://doi.org/10.1007/s12559-020-09785-7
  22. Tripti Goel, R Murugan, Seyedali Mirjalili, Deba Kumar Chakrabartty, “OptCoNet: An Optimized Convolutional Neural Network for an Automatic Diagnosis of COVID-19″, Applied Intelligence, Vol.51pp.1351–1366, 2021. https://doi.org/10.1007/s10489-020-01904-z
  23. Murugan, R., Roy, P. & Singh, U. An abnormality detection of retinal fundus images by deep convolutional neural networks. Multimedia Tools and Applications, Vol.79, 24949–24967, 2020. https://doi.org/10.1007/s11042-020-09217-6
  24. Goel, Tripti, and Murugan. “Classifier for Face Recognition Based on Deep Convolutional – Optimized Kernel Extreme Learning Machine” Computers & Electrical Engineering 85 (2020): 106640. https://doi.org/10.1016/j.compeleceng.2020.106640
  25. Jagan Mohan, R. Murugan, Tripti Goel. Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images. International Journal of Image Processing and Pattern Recognition. 2020; 6(1): 14–26p.
  26. Murugan, R, 2019, ‘An Automatic Detection of Hemorrhages in Retinal Fundus Images by Motion Pattern Generation”, Biomedical and Pharmacology Journal, vol. 12, no. 3, pp. 419-426.
  27. Murugan Raman, Reeba Korah, Kavitha Tamilselvan, An Automatic Localization of Optic Disc in Low Resolution Retinal Images by Modified Directional Matched filter, The International Arab Journal of Information Technology, vol.16(1), pp.1-7, 2019.
  28. Murugan R, Deepak Kumar Nayak, Anitha Juliette,”Particle Analysis in Metallurgical Inclusion for Defence Applications using LABVIEW”, International Journal of Engineering Technology Science and Research, vol.5(4),pp.787-793,2018.
  29. Murugan R 2018, ‘An optic disc in retinal images using two dimensional correlation coefficient approaches- A fast method’, International Journal of Pure and Applied Mathematics, vol.118, no.10, pp.191-198.
  30. Vishwanath NV, Murugan R, Hari SRD, Leela ST, Nanda Kumar S 2018, ‘A Comparative analysis of line and word segmentation for handwritten document image’, International Journal of Advanced Research in Computer Science, vol. 9, n0. 1, pp. 514-519.
  31. Deepak Kumar Nayak, Sheik Aalam S, Murugan, R, Selvakumarasamy, K, and Nadheer Ahmed, B 2017, ‘High efficient naturally clamped bidirectional push-pull dc/dc converter’, Journal of Electrical Engineering : vol.17,no.1, pp.1-9.
  32. Murugan, R, Reeba Korah & Kavitha, T 2016 ‘An automatic screening of optic disc and cup in retinal images’, International Journal of Advanced Engineering Technology, vol. 7, no. 2, pp. 121-126.
  33. Murugan, R, Reeba Korah & Kavitha, T 2015, ‘Computer Aided Screening of Optic Disc in Retinal Images Using Binary Orientation Map’, Biomedical and Pharmacology Journal, vol. 8, no. 1, pp. 419-426.
  34. Murugan, R, Reeba Korah & Kavitha, T 2015, ‘An Automatic Detection of Optic Disc in Low Quality Retinal Images by Modified Directional Matched Filter’, International Journal of Applied Engineering Research, vol. 10, no. 3, pp. 7693-7713.
  35. Selvakumarasamy, R.Murugan, S.Rajesh kanna, and Deepak Kumar Nayak , “Image denoising algorithm using particle swarm optimization” International Journal of Applied Engineering Research pp.1085-1088,10(55), 2015.
  36. Deepak Kumar Nayak, S. Sheik Aalam, Murugan, K. Selvakumarasamy and S. Rama Reddy, 2015,’Investigations on an improved soft switched CLLL dc/dc converter’, ARPN Journal of Engineering and Applied Sciences, vol. 10, no. 16, pp.6893-6899.
  37. Deepak Kumar Nayak, S. Sheik Aalam, Murugan, K. Selvakumarasamy, B. Nadheer Ahmed, “Naturally Commutated Bidirectional Full-Bridge High Efficient DC/DC Converter” International Journal of Applied Engineering Research pp.916-920,10(55),2015.
  38. Deepak Kumar Nayak, S. Sheik Aalam, Murugan, K. Selvakumarasamy, S. Rama Reddy, “Naturally Commutated Bidirectional Half-Bridge High Efficient DC/DC Converter for Biomedical Imaging Systems”, Biomedical & Pharmacology Journal Vol. 8(1), 379-384 (2015)
  39. Deepak Kumar Nayak, S. Sheik Aalam, Murugan, S. Rama reddy, “Closed Loop Controlled Soft Switching Type DC/DC Converter with High Efficiency under Variable Load Conditions” Journal of Applied Sciences 15(4) pp 633-643,2015.
  40. Murugan R, Reeba Korah, S. Nasreen Fathima, and T. Venkata Haritha. “Microaneurysms detection methods in retinal images using mathematical morphology.” Ophthalmology, 110 (2013): pp.1679-1686.
  41. Murugan, R & Reeba Korah 2012, ‘An Automatic Screening Method to Detect Optic Disc in the Retina’, International Journal of Advanced Information Technology’, vol. 2, no. 4, pp. 23-31.
  42. Murugan, R & Reeba Korah 2011, ‘An efficient approach to detect Optic Disc in digital color images of the human retina’, CiiT International Journal of Digital Image Processing, 2011, vol. 3, no. 12, pp. 771-774.

International Conferences

  1. Shradha Verma, Tripti Goel, R Murugan“Discrete Cosine Transform based Laplacian Phase Unwrapping for Phase Image application”, 19th IEEE India Council International Conference-INDICON 2022 (Accepted on 09/09/2022).
  2. Kiran Venneti, H Kashyap, R Murugan, Jagan Mohan, Tripti Goel, “AMDNet: Age-Related Macular Degeneration Diagnosis Through Retinal Fundus Images Using Lightweight Convolutional Neural Network”, IEEE Silchar Subsection Conference-SLCON-2022 (Accepted for Oral Presentation on 07/09/2022).
  3. A. Bhattacharjee, R. Murugan, T. Goel and Shankar K, “A powerful Transfer learning technique for multiclass classification of lung cancer CT images” 8th International Conference on Engineering and Emerging Technologies (ICEET 2022)” IEEE Malaysia ComsocVTS, has been accepted for an oral presentation on 24/08/2022.
  4. N Jagan Mohan, R Murugan, Trpti Goel, Parthapratim Roy, “ViT-DR: Vision Transformers in Diabetic Retinopathy Grading Using Fundus Images” for The IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2022. (Accepted on 05/05/2022).
  5. Rahul Sharma, R Murugan, Trpti Goel , “An Optimized Deep Learning Network for Prognosis of Alzheimer’s Disease Using Structural Magnetic Resonance Imaging” for The IEEE Region 10 Humanitarian Technology Conference (R10-HTC), 2022. (Accepted on 05/05/2022)
  6. N Jagan Mohan, R Murugan, Trpti Goel, “DR-FL: A Novel Diabetic Retinopathy Grading with Federated Learning Using Fundus Images” The North-Eastern Research Conclave  (NERC 2022).(Accepted on 27/04/2022).
  7. D N Kiran Pandiri, R Murugan, Tripti Goel, “ODNet: Optimized Deep Convolutional Neural Network for Classification of Solanum Tuberosum Leaves Diseases”, The IEEE Region 10 Symposium(TENSYMP) 2022 (Accepted on 12/04/2022).
  8. S. Yadav, N. K. Roy, N. Sharma and R. Murugan, “Classification of Retinal Detachment using Deep Learning through Retinal Fundus Images,” 2022 IEEE India Council International Subsections Conference (INDISCON), 2022, pp. 1-6.https://doi.org/10.1109/INDISCON54605.2022.9862901
  9. A. R. Vaka, B. Soni and R. Murugan, “Effective Breast Cancer Classification Using SDNN Based E-Health Care Services Framework,” 2022 10th International Conference on Emerging Trends in Engineering and Technology – Signal and Information Processing (ICETET-SIP-22), 2022, pp. 1-6.  https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791795
  10. V. N. Medhi, K. M. Basumatary, R. Murugan and T. Goel, “An Early Detection of Parkinson’s Disease from Geometric Drawings,” 2022 2nd International Conference on Artificial Intelligence and Signal Processing (AISP), 2022, pp. 1-5. https://doi.org/10.1109/AISP53593.2022.9760641
  11. A. Bhattacharjee, R. Murugan, T. Goel and B. Soni, “Semantic segmentation of lungs using a modified U-Net architecture through limited Computed Tomography images,” 2021 Advanced Communication Technologies and Signal Processing (ACTS), 2021, pp. 1-6. https://doi.org/10.1109/ACTS53447.2021.9708190
  12. S. Dwivedi, T. Goel, R. Sharma and R. Murugan, “Structural MRI based Alzheimer’s Disease prognosis using 3D Convolutional Neural Network and Support Vector Machine,” 2021 Advanced Communication Technologies and Signal Processing (ACTS), 2021, pp. 1-4. https://doi.org/10.1109/ACTS53447.2021.9708107
  13. Sharma, R., Goel, T., Murugan, R. (2022). Prediction of Alzheimer’s Disease Using Machine Learning Algorithm. In: Das, K.N., Das, D., Ray, A.K., Suganthan, P.N. (eds) Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-16-6893-7_2 
  14. Vijaya Yaduvanshi, Murugan, Tripti Goel, “Oral cancer detection using modified local binary pattern”, 7th International Conference on Nanoelectronics, Circuits & Communication Systems, 2021 (Accepted for publication on 12/11/2021)
  15. S. Yadav, S. Das, R. Murugan and T. Goel, “RD-Light-Net: Light Weight Network for Retinal Detachment Classification through Fundus Images,” 2021 Sixth International Conference on Image Information Processing (ICIIP), 2021, pp. 369-374. https://doi.org/10.1109/ICIIP53038.2021.9702547
  16. N. J. Mohan, R. Murugan, T. Goel and P. Roy, “Exudate Detection with Improved U-Net Using Fundus Images,” 2021 International Conference on Computational Performance Evaluation (ComPE), 2021, pp. 560-564, doi: 10.1109/ComPE53109.2021.9752239.
  17. Reddy, S.D., Murugan, R., Nandi, A., Goel, T. (2022). Arrhythmia Detection and Classification Using Two Stage Median Filter Through Dynamic Features of ECG Signals. Proceedings of the 3rd International Conference on Communication, Devices and Computing. Lecture Notes in Electrical Engineering, vol 851. Springer, Singapore. https://doi.org/10.1007/978-981-16-9154-6_62
  18. Arpita Ghosh, Badal Soni, Ujwala Baruah, and Murugan, “Classification of Brain Hemorrhage using Fine Tuned Transfer Learning”, International Conference on Machine Intelligence and Signal Processing, Advanced Machine Intelligence and Signal Processing. Lecture Notes in Electrical Engineering, vol 858. Springer, Singapore. https://doi.org/10.1007/978-981-19-0840-8_39
  19. N. J. Mohan, R. Murugan, T. Goel and P. Roy, “Exudate Localization in Retinal Fundus Images Using Modified Speeded Up Robust Features Algorithm,” 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2021, pp. 367-371, doi: 10.1109/IECBES48179.2021.9398771.
  20. Rahul Sharma, Tripti Goel, R Murugan, “An Optimized Deep Learning Network for Prognosis of Alzheimer’s Disease Using Structural Magnetic Resonance Imaging”, IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES2020) LANGKAWI, MALAYSIA (Accepted on 18/11/2020).
  21. N. Jagan Mohan, R. Murugan, T. Goel and P. Roy, “Optic Disc Segmentation in Fundus Images using Operator Splitting Approach,” 2020 Advanced Communication Technologies and Signal Processing (ACTS), 2020, pp. 1-5, doi: 10.1109/ACTS49415.2020.9350504.
  22. Chakraborty, S., Murugan, R., Goel, T. (2022). Classification of Tea Leaf Diseases Using Convolutional Neural Network. In: Patgiri, R., Bandyopadhyay, S., Borah, M.D., Emilia Balas, V. (eds) Edge Analytics. Lecture Notes in Electrical Engineering, vol 869. Springer, Singapore. https://doi.org/10.1007/978-981-19-0019-8_22
  23. Jagan Mohan N., Murugan R., Goel T., Roy P. (2020) An Improved Accuracy Rate in Microaneurysms Detection in Retinal Fundus Images Using Non-local Mean Filter. In: Bhattacharjee A., Borgohain S., Soni B., Verma G., Gao XZ. (eds) Machine Learning, Image Processing, Network Security and Data Sciences. MIND 2020. Communications in Computer and Information Science, vol 1240. Springer, Singapore. https://doi.org/10.1007/978-981-15-6315-7_15
  24. K. Devi, M. S. Dawood, R. Murugan, R. Lenamika, S. Kaviya and L. Vasini.K, “Fuzzy based Regional Thresholding for Cyst Segmentation in Dental Radiographs,” 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2020, pp. 544-549, doi: 10.1109/ICICCS48265.2020.9121104.
  25. Murugan, R., et al. “An Improved U-Net Architecture for Low Light Image Enhancement for Visibility Improvement.” 2020 International Conference on Contemporary Computing and Applications (IC3A). IEEE, 2020. 10.1109/IC3A48958.2020.233311
  26. Kiran Venneti, Murugan, and Partha Pratim Roy. “Automatic segmentation of macula in retinal flourescein angiography images.” Eleventh International Conference on Graphics and Image Processing (ICGIP 2019). Vol. 11373. International Society for Optics and Photonics, 2020. https://doi.org/10.1117/12.
  27. Goel, Tripti, and Murugan. “A non-iterative fuzzy neural classifier for face recognition.” Eleventh International Conference on Graphics and Image Processing (ICGIP 2019). Vol. 11373. International Society for Optics and Photonics, 2020. https://doi.org/10.1117/12.2557232
  28. Jegan Mohan, Murugan, Tripti Goel, (2019), Investigations of diabetic retinopathy algorithms in retinal fundus images, proceedings of International Conference In Recent Trends on Electronics & Computer Science, NIT Silchar.
  29. R Murugan (2019), An Automatic Classification of Magnetic Resonance Brain Images Using Machine Learning Techniques. In: Kundu S., Acharya U., De C., Mukherjee S. (eds) Proceedings of the 2nd International Conference on Communication, Devices and Computing. Lecture Notes in Electrical Engineering, vol 602. Springer, Singapore, https://doi.org/10.1007/978-981-15-0829-5_45
  30. Deepak Kumar Nayak ; Prabakaran. N ; R ; Anitha Juliette Albert. “An Improved IOT based Standalone Hybrid (Pv/Wind) System.” 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018.10.1109/ICRIEECE44171.2018.9009337
  31. Hepsibah, Deepak Kumar Nayak, R Murugan (2019), Channel Estimation Techniques for OFDM Based Wireless Channel, proceedings of International Conference In Recent Trends on Electronics & Computer Science, NIT Silchar.
  32. Anitha Juliette Albert, Murugan R Muthammal R (2019), Full Swing Gate Diffusion Input Based NCL Threshold Gates, proceedings of International Conference In Recent Trends on Electronics & Computer Science, NIT Silchar.
  33. R Murugan, Reeba Korah, Aby K. Thomas,(2019) The Blood Vessel Segmentation in Retinal Fundus Images using Deep Learning, Proceedings of Alliance International Conference on Artificial Intelligence and Machine Learning, April 2019
  34. R Murugan, Anitha Juliette Albert, and Deepak Kumar Nayak. “An Automatic Localization of Microaneurysms in Retinal Fundus Images.” 2019 International Conference on Smart Structures and Systems (ICSSS). IEEE, 2019. 10.1109/ICSSS.2019.8882858R
  35. R Murugan (2019), Retinal Optic Nerve Head Segmentation, proceedings of IEEE International Conference on Innovations in Engineering, Technology and Sciences, Bangalore (Will be indexed in IEEE xplore) (Proof submitted)
  36. Murugan R.(2019), The Retinal Blood Vessel Segmentation Using Expected Maximization Algorithm, Lecrture Notes on, Computer Vision and Machine Intelligence in Medical Image Analysis, Advances in Intelligent Systems and Computing pp.992-1000.
  37. Murugan R, Deepak KN 2017, ‘An Empirical Investigation of Optic Disc Detection and Segmentation in retinal Fundus Images’ Proceedings of International Intellectual Convergence on Advances in Sciences and Engineering, pp-61-65.
  38. Murugan R, Tamilarasan, Sathyamoorthi, Rusaiq 2017,’A Fuzzy Logic based Clustering Algorithm for WSN to extend the Network Lifetime’, Proceedings of International Intellectual Convergence on Advances in Sciences and Engineeing, pp-30-37.
  39. Murugan R, Jayanthi V, Josephin M. Devamary, Jayashree R 2017, ‘An Automatic Optic Nerve Head Localization and segmentation in retinal images’ Proceedings of International Intellectual Convergence on Advances in Sciences and Engineering, pp-94-99.
  40. Murugan R , Reeba Korah, Kavitha T, “An Automatic Optic Disc and Cup Segmentation of Retinal Fundus Images using Directional Matched Filter and Operator Splitting Approach”, Proceedings of International Conference on Innovations in Information, Embedded and Communication systems (ICIIECS) 2016, Organized by Karpagam College of Engineering, Coimbatore.
  41. Murugan, R, Reeba Korah & Kavitha, T 2015, ‘Fast localization of optic disc in retinal images using two dimensional correlation coefficient approaches’, Proc.of Recent Trends and Advancement in Information and Communication Engineering, pp. 31-36, Organized by Nehru Institute of Technology, Coimbatore.
  42. Murugan, R & Reeba Korah 2013, ‘An Analysis Of Optic Disc Detection Methods’, Proceedings of the International Conference on Computing Communication and Advanced Network, pp. 433-438, Organized by Chennai Institute of Technology.
  43. Murugan, R & Reeba Korah 2013, ‘Comparative analysis of Blood Vessel Segmentation methods’, Proc. of International Conference on Information and Industrial Electronics, pp. 45-50.
  44. Murugan, R & Reeba Korah 2012, ‘Segmentation Algorithms for Automatic Detection of Retinal Images Using CVIP Tools’, Proceedings of IEEE International Conference on advanced Communication Control and Computing Technologies, pp. 248-252. (Indexed in IEEE xplore)
  45. Murugan, R & Reeba Korah 2011, ‘An efficient approach to detect Optic Disc in digital colour images of the human retina’, Proceedings of International Conference on Advances in Engineering and Technology, pp. 185-188. (This paper has awarded the best paper for the session Biometrics).
  46. Murugan, R & Reeba Korah 2012, ‘Optic Disc Detection methods in the human retina-A state of art’, Proceedings of National conference on Information, Communication & Networking’, pp. 32-36.
  47. Murugan, R & Reeba Korah 2012, ‘Detection of Optic Disc by line filter approach in retinal images’, Proceedings of IETE National Conference on Networking and Communication, pp. 65-71.
  48. Murugan, R & Reeba Korah 2011, ‘An efficient approach to detect Optic Disc in digital colour images of the human retina’, Proceedings of National conference on Information, Communication & Networking, pp. 72-76.(This paper has awarded the best paper for the session Image Processing).
  49. Murugan, R & Reeba Korah 2011, ‘Locating Optic Disc center in retinal images using directional matched filter” Proceedings of National conference on signal processing, communications & VLSI design’, pp. 62-67.
  50. Murugan, R & Reeba Korah, 2011 ‘Optic Disc detection using directional matched filter’ Proceedings of National Conference on Signal Processing, Communication, Micro Electronics’, pp. 60-67.

BOOKS

  1. Naveen Karunya, R Murugan, T Pearson, Kanaga Durga, Modern Embedded Computing, An Approach to Software Applications, Bonfring Publishers, 2019.
  2. Naveen Karunya, R Murugan, Prabhakara Rao, Electronic Devices and circuits, Spectrum Education Publishers, 2020.

BOOK CHAPTERS

  1. Jagan Mohan Nagula, R Murugan, Tripti Goel, “Role of Machine and Deep Learning Techniques in Diabetic Retinopathy Detection”, Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence, IGI Global, pp.32-46, 2022,
  2. Mohan, N. Jagan, R. Murugan, and Tripti Goel. “Machine Learning Algorithms for Hypertensive Retinopathy Detection through Retinal Fundus Images.” In Computer Vision and Recognition Systems, pp. 39-67. Apple Academic Press, 2022.
  3. N Jagan Mohan, R Murugan, Tripti Goel, “Deep Learning for Diabetic retinopathy Detection: Challenges and Opportunities”, Next Generation Healthcare Informatics, vol 1039, 2022, Springer, Singapore. https://doi.org/10.1007/978-981-19-2416-3_12
  4. Yaduvanshi V., Murugan R., Goel T. (2021) An Automatic Classification Methods in Oral Cancer Detection. In: Patgiri R., Biswas A., Roy P. (eds) Health Informatics: A Computational Perspective in Healthcare. Studies in Computational Intelligence, vol 932. Springer, Singapore. https://doi.org/10.1007/978-981-15-9735-0_8.
  5. N Jagan Mohan, R Murugan, Tripti Goel, 2020 “Machine learning algorithms for hypertensive retinopathy detection through retinal fundus images” in Research Innovations and Trends on Computer Vision and Recognition Systems, published by CRC press.
  6. Murapaka Dhana Lakshmi Bhavani, R Murugan, 2020 “The concept of fusion for a clear vision of hazy roads in ADAS”, Internet of vehicles and its applications in automotive driving, 2020, DOI: 10.1007/978-3-030-46335-9_8.
  7. Murapaka Dhana Lakshmi Bhavani, R Murugan, 2020“Application of VANET to avoid the pedestrian collision in automotive vehicles”, Augmented Intelligence towards Smart Vehicular Applications” ISBN 9780367435462, CRC Press, Taylor & Francis Group.
  8. Murugan R., devi R.K., Albert A.J., Nayak D.K. (2020) An IOT Based Weather Monitoring System to Prevent and Alert Cauvery Delta District of Tamilnadu, India, Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham,pp..462-469.
  9. Murugan, R, 2019, ‘A Cloud-based Patient Health Monitoring System using the Internet of Things, Handbook of Research on Cloud Computing and Big Data Applications in IoT, IGI Global Publishers. USA, pp. 11–25.
  10. Murugan, R, 2019 Implementation of Deep Learning Neural Network for Retinal Image processing IGI Global publishers, USA, pp. 11–25.
  11. Murugan, R, Reeba Korah 2011, ‘Detection of Optic Disc by line filter approach in retinal images’, Advances in Computing & Inform. Technology, Springer-Verlag Berlin Heidelberg, pp. 719–728.

PROFESSIONAL MEMBERSHIPS

  • Fellow of  The Institution of Electronics and Telecommunication Engineers (IETE) (F-95121858)
  • IEEE member  (95121858) with Signal Processing Society and Electron Device Society, Membership
  • Life member (LM132493)  of the Indian Society for Technical Education (ISTE), India

AWARDS & RECOGNITIONS

  • An indexed researcher by the World Health Organization (WHO) – COVID-19 Global literature on Coronavirus disease repository for the excellent contribution of COVID-19 diagnosis articles, 2020.
  • Received young researcher fellowship from DST-SERB, Govt. of India for the project “A Nationwide Study on Retinal Detachment in India with Emphasis on the Risk of the Fellow Eye through Fundus Images using Deep Learning”.
  • Received NVIDIA Academic Hardware Grant for the project titled “Diagnosis of retinal pathologies using Deep learning”.
  • Received an outstanding reviewer award from Bio-medical signal processing and control – Elsevier Journal on November 2016;
  • Received the best paper award from International Conference on Advances in Engineering and Technology for the session Biometrics on 2011;
  • Received the best paper award from the National Conference on Information, Communication & Networking for the session Image Processing on 2011;
  • Invited reviewer: IEEE Transactions on Medical Imaging (IEEE);
  • Invited reviewer: Biomedical signal processing and control (Elsevier);
  • Invited reviewer: Journal of Intelligent Systems(Springer);
  • Invited reviewer: Journal of IEEE Access;
  • Invited reviewer: International Journal of Information Technology, Control, and Automation (IJITCA).
  • Invited reviewer: International Ophthalmology Journal ( Springer).
  • ADMINISTRATIVE RESPONSIBILITIES
  • Associate warden of Hostel 9A (J.C.Bose hall).
  • In-charge of Bio-Medical Imaging Lab. (BIOMIL).
  • Associate Lab.in-charge of Digital Signal Processing Lab.,
  • In-charge of the department Conference room and seminar room.

Ph.D. Scholars Guided/Guiding

  1. Mr.Jegan Mohan (18-3-04-129-FT-July 2018)-ongoing),
  2. Mr.Kiran Pandiri (19-3-04-118-FT-July 2019-ongoing),
  3. Mr.Kiran Venniti (19-3-04-113-PT-July 2019-ongoing),
  4. Ms.Dhanalakshmi Bhavani (19-3-04-127-PT-July 2019-ongoing),
  5. Ms.Vijaya Yaduvanshi (19-3-04-123-PT-July 2019-ongoing),
  6. Ms.Ananya Bhattacharjee (20-3-04-128-FT-July 2020-ongoing),
  7. Ms.M.Sandhya (20-3-04-107-PT-July 2020-ongoing),
  8. Mr. Ragipati Karthik (20-3-04-123-FT-July 2020-ongoing)
  9. Ms.Sonal Yadav(21-3-04-051-FT-July 2021-Project staff-JRF-ongoing)
  10. Mr.Debasis Deb(21-3-04-042-PT-July 202-ongoing).

M.Tech. Scholars Guided/Guiding

  1. Ms. Sunitha (2018 in St.Peters Engg. College, Hyderabad), currently she is working in Infosys Technologies, Hyderabad.
  2. Mr. Dhaujay Reddy (2019-2021, NIT Silchar), currently pursuing PhD in IIT Roorkee.
  3. Mr. Sanjoy Das (2020-2022-NIT Silchar), currently working as Software Engineer at valeo Technologies.
  4. Ms. Supriya Patro (Co-supervisor) (2020-2022-NIT Silchar)
  5. Ms. Stoila Cindy (2021-2023, NIT Silchar, ongoing)

B.Tech. Projects

  1. Khanjan choudhury, Kaustavmoni, Object detection and classification using convolutional neural network, NIT Silchar, 2019, Currently pursuing M.Tech in IIT Jammu.
  2. Rahul Kantubhukta, Medical expert system using machine learning algorithms, NIT Silchar, 2019.
  3. Hrishikesh Kashyap (17-1-4-076), Yashwant Badde (17-1-4-085), Detection of Age-related Macular Degeneration using deep learning, AMD, NIT Silchar, 2021.
  4. VISHAL NANDAN MEDHI (17-1-4-050), KAUSTAV MONI BASUMATARY (17-1-4-058), Geometric Drawings Classification For Early Parkinson’s Disease Detection Based On Different Machine Learning And Deep Learning Techniques, NIT Silchar, 2021.
  5. Navin Kumar Roy (1814016), Nishant Sharma (1814041), Retinal Detachment Detection using Deep Learning with Fundus Images, NIT Silchar, 2022.
  6. KUNAL MODI (1814134), VIVEK MISHRA (1814072), Classification of Retinitis Pigmentosa Using Deep Convolutional Neural Network Through Fundus Images, NIT Silchar, 2022.
  7. TRISHNA KALITA (18-1-4-017), ELVIS RAHMAN(18-1-4-078), NITESH PANDEY (18-1-4-105), ANURAG SARMA (18-1-4-123), DIABETIC FOOT ULCER DETECTION USING DEEP LEARNING MODELS, NIT Silchar, 2022.

Workshop/FDP/STP organized

  1. FDP Name: Faculty Development Program on “Recent advancement in wireless communication and signal processing” Funding Agency: BBIT, Kolkata, India, Funding Amount: Rs 50000 Start Date: 12/09/2022, End Date: 16/09/2022.
  2. FDP Name: High-End workshop (Karyashala) on “Role of Artificial Intelligence in Bio-Medical and Health Informatics (RAIBHI-2022)”, Funding Agency: SERB, India, Funding Amount: Rs.150000 Start Date: 05/04/202, End Date: 11/04/2022.
  3. FDP Name: Research Avenues in Machine Learning and AI for Societal Issues in collaboration with Computer Science and Engineering Department, Funding Agency: AICTE, India, Funding Amount: Rs 93000 Start Date: 14/03/2022, End Date: 18/03/2022.
  4. S&T Programme: One Week National Level Webinar on Science & Technology Awareness (S&T-2021) programme for Higher Secondary Students” in collaboration with National Institute of Technology Silchar and Barak valley Engineering College, Karimganj, in association with IEEE Silchar subsection during 22-26 November 2021.
  5. FDP Name: Faculty Development Program on “Recent advancement in wireless communication and signal processing” Funding Agency: BBIT, Kolkata, India, Funding Amount: Rs 50000 Start Date: 13/09/2021, End Date: 17/09/2021.
  6. FDP Name: International Workshop on Optimization and Intelligence in Electronics Engineering Applications (IEEE OIEEA-2021) Funding Agency: IEEE EDS Society USA, Funding Amount: UDS 678, Start Date: 26/07/2021, End Date: 30/07/2021.
  7. FDP Name: Role of Artificial Intelligence in Science and Engineering Applications (RAISEA-2020) for CBSE School Teachers, Funding Agency: AICTE Training and Learning (ATAL), New Delhi, Funding Amount: Rs.93,000, Start Date: 26/10/2020, End Date: 30/10/2020,
  8. Workshop Name: Machine Intelligence in Biomedical and Health Informatics-2020 (MIBHI2020), Funding Agency: TEQIP-III, NIT Silchar, Funding Amount: Rs.18,000, Start Date: 20/08/2020, End Date: 24/08/2020
  9. Workshop Name: Computational Intelligence, Robotics and Real-World Applications 2020 (CIRRA 2020) in collaboration with Gauhati University Institute of Science and Technology (GUIST), Funding Agency: TEQIP-III, Gauhati University Institute of Science and Technology (GUIST), Funding Amount: Rs.3,41,000, Start Date: 12/03/2020, End Date: 16/03/2020
  10. Workshop Name: Computer Vision and Pattern Recognition using Machine Learning 2019 (CVPRML-19), Funding Agency: TEQIP-III, NIT Silchar, Funding Amount: Rs.4,10,000, Start Date: 22/07/2019, End Date: 26/07/2019 https://drive.google.com/file/d/16AL0eEE8Kt-NcmMwTjs_R0OcK7_VZVVx/view?usp=share_link

Outreach activities

  1. Delivered an expert talk on “Computer-Aided Diagnosis of medical images using deep learning which is scheduled on 22/11/2022 (Tuesday )from 10.00 AM to 11.30 AM IST in online mode organized by Dept.of EEE, VIT Chennai.
  2. Invited as a guest of honor in the inaugural ceremony of the International conference on computational intelligence and communication networks (eICCICN-2022) jointly organized by Dept. of IT and CSE, Easwari Engg. college, Chennai, Tamilnadu, India on 29/04/2022.
  3. Delivered a guest lecture on “Exploring AI & Data Science which is scheduled on 04/05/2022 (Wednesday)from 5.00 pm to 6.30 pm IST in online mode organized by Dept. of ECE, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.

Conferences Organized

  1.  International Intellectual Convergence on Advances in Sciences and Engineering, AMS College of Engineering, Chennai from 03 Mar 2017 to 04 Mar 2017, Organizing chair