Dr. R. MURUGAN

March 16, 2022 by R Murugan
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murugan hd1Assistant Professor (Grade I)

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

Github: https://github.com/biomedicallabecenitsilchar

ACADEMIC QUALIFICATIONS

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

EXPERIENCE

  • July 2022 – Present: Assistant Professor-Grade I (Level 12), Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Silchar, Silchar, Assam, 788010, India
  • Nov 2019 – July 2022: Assistant Professor-Grade II (Level 11), Department of Electronics and Communication Engineering, National Institute of Technology (NIT) Silchar, Silchar, Assam, 788010, India
  • June 2018 – Nov 2019: Assistant Professor-Grade II (Level 10), 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 2018: Assistant Professor, Department of Electronics and Communication Engineering, St.Peter’s Engineering College, Hyderabad, Telangana, 500043, India
  • January 2010 – December 2011: Assistant Professor, Department of Electronics and Communication Engineering, Aalim Muhammed Salegh College of Engineering, Avadi, Chennai, Tamilnadu, 600055, India
  • May 2005  – June 2008: Lecturer, Department of Electronics and Communication Engineering, Mohammed Sathak A. J. College of Engineering, Siruseri, Chennai, Tamilnadu, 600055, India

RESEARCH INTERESTS AND SPECIALIZATION

  • Medical Image Processing
  • Digital Image Processing
  • Machine learning / Deep learning.
  • Graph Neural Network
  • Internet of Things/Medical Things
  • Automatic Driverless Assistance System
  • Design of exoskeleton
  • Multimedia Compression Techniques
  • Embedded Systems

BIOGRAPHICAL SKETCH

Dr. R. Murugan was born in Ramanathapuram, Tamilnadu, India. He received a B.E. degree in Electronics and Communication Engineering, an M.E. degree in Embedded Systems Technologies from Anna University, Chennai, Tamilnadu, India, and a Ph.D. degree from Information and Communication Engineering, Centre for Research, Anna University, Chennai, Tamilnadu, India. He worked as an Assistant Professor in the Department of Electronics and Communication Engineering, Aalim Muhammed Salegh College of Engineering, Chennai, from 01st August 2010 to 15 December 2017. He worked as an 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 has worked as an Assistant Professor in the Department of Electronics and Communication Engineering, National Institute of Technology (NIT), Silchar, Assam, India, since 15 June 2018. He has published more than 105 research articles in various international and national journals and conferences to date. He is a fellow of IETE, an active member of IEEE, and a life member of the Indian Society for Technical Education (ISTE), India. He is the chair of the IEEE Signal Processing Society of the joint chapter of the IEEE Kolkata section and IEEE Silchar Subsection. He is the Co-Chair of the student activities committee of the 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 an Invited reviewer of many journals, including IEEE Transactions on Medical Imaging, IEEE Internet of Things, Journal of IEEE Access, Bio-medical Signal Processing and Control, etc. He received a 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.” He is the recipient of the 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, two books, 11 book chapters, and six 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

External:

  1. Project Title: Capacity Building for Human Resource Development in Unmanned Aircraft System (Drone and Related Technology), Funding agency:  MeiTY, IIITDM Kurnool and C-DAC Hyderabad as a part of Project Management Unit, Funding Amount: Rs. 150 lakhs, Type of funding: External, Role: Co-Chief Investigator, Start Date: 2022, End Date: 2027 (5 Years-Ongoing).
  2. Project Title: Modelling and Design of An Affordable Cyber-Physical Systems for Diagnosis of Retinal detachment through Fundus Images, Funding agency: IITI DRISHTI CPS Foundation under the NMICP Scheme, Funding Amount: Rs.10,00,000, Type of funding: External, Role: Principle Investigator, Start Date: 08/02/2023, End Date: 07/02/2025 (2 Years-Ongoing).
  3. Project Title: Diagnosis of retinal pathologies using Deep learning, Funding agency: NVIDIA Corporation, USA,  under the academic grant program, Granted on 11/03/2022 (5 Years-Ongoing), Type of funding: External. Role: Principle Investigator.
  4. 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, Type of funding: External. Role: Principle Investigator, Start Date: 03/12/2020, End Date: 02/12/2022 (2 Years-Completed).

Internal:

  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, Role: Mentor, Start Date: 14/11/2022, End Date: 13/11/2023 (One year-Ongoing).
  2. 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, Role: Mentor, Start Date: 07/02/2020, End Date: 30/06/2022 (One year-Completed).

PATENTS

 

S.No Patent file No Title of Patent Role Date of filling Date of Publication/Granted
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
7 202341005967 Diabetic Retinopathy Detection System Using Deep Transfer Learning And Module Explainability Based On Grad-Cam Visualization Inventor 30/01/2023 24/02/2023
8 202331027602 A Portable Ophthalmic Apparatus For Screening Diabetic Retinopathy Inventor 14/04/2023 21/04/2023
9 202023100083 System for the early detection of Alzheimer’s disease Inventor 09/01/2023 06/03/223
10 202431064682  A System and method for distinguishing and classifying drones Inventor 27/08/2024 06/09/2024
11 202421087130 System and method for diagnosing retinal detachment using graph neural networks Inventor 12/11/2024 12/11/2024

 

PUBLICATIONS (JOURNALS/CONFERENCES)

International Journals

  1. Kiran Pandiri, D.N., Murugan, R., Tripti Goel “ARM-UNet: Attention Residual path Modified UNet model to segment the Fungal Pathogen diseases in Potato leaves”, Signal, Image and Video Processing”, 2024. https://doi.org/10.1007/s11760-024-03566-7
  2. Bapan Ali Miah, Mausumi Sen, R. Murugan, Damini Gupta, “A class of fractional order nonlinear Volterra-Fredholm integro-differential IVPs and BVPs: qualitative analysis and numerical investigation”, Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2024. https://doi.org/10.1007/s12559-024-10326-9
    Raveendra Pilli, Tripti Goel, R Murugan, M Tanveer, “Brain Age Estimation using Universum Learning based Kernel Random Vector Functional Link Regression Network”, Cognitive Computation Vol.16, pp. 3186–3199,2024).  https://doi.org/10.1007/s12559-024-10326-92024
  3. Sonal Yadav, Soham Mandal, R Murugan, Tripti Goel and Tanveer Ahmed, “Segmentation and visualization of Retinal Detachment lesions through Retinal fundus images”, Biomedical Signal Processing and Control, Vol. 96, Part A, 2024, 106627, https://doi.org/10.1016/j.bspc.2024.106627
  4. Bapan Ali Miah, Mausumi Sen, R. Murugan, Nimai Sarkar, Damini Gupta,  “An investigation into the characteristics of VFIDEs with delay: solvability criteria, Ulam–Hyers–Rassias and Ulam–Hyers stability”, Journal of  Analysis, 2024. https://doi.org/10.1007/s41478-024-00767-8
  5. Vijaya Yaduvanshi, R Murugan, Tripti Goel, “Automatic Oral Cancer Detection and Classification using Modified Local Texture Descriptor and Machine Learning Algorithms”, Multimedia Tools and Applications, 2024. https://doi.org/10.1007/s11042-024-19040-y
  6. Varaprasad, S. A., Tripti Goel, M. Tanveer, R. Murugan, “An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier.” Applied Soft Computing (2024): 111457. https://doi.org/10.1016/j.asoc.2024.111457
  7. Sonal Yadav, R Murugan, Tripti Goel, “Opti-EN-net: Optimized ensemble deep neural network for the classification of Retinal Detachment through fundus images”, Biomedical Signal Processing and Control, 91 (2024): 105999. https://doi.org/10.1016/j.bspc.2024.105999
  8. Bapan Ali Miah, Mausumi Sen, R. Murugan, Damini Gupta, “Developing Riemann Liouville-fractional masks for image enhancement”,
    Circuits, Systems & Signal Processing, 2024, pp.1-30. https://doi.org/10.1007/s00034-024-02633-1
  9. Raveendra Pilli, Tripti Goel, R Murugan, M Tanveer, P.N. Suganthan, “Kernel Ridge Regression-based Randomized Network for Brain Age Classification”, IEEE Transactions on Cognitive and Developmental Systems, 2023. https://doi.org/10.1109/TCDS.2024.3349593
  10. Kiran Pandiri, D.N., Murugan, R., Goel, T., “Smart Soil Image Classification System using Lightweight Convolutional Neural Network”, Expert Systems with Applications (2023), doi: https://doi.org/10.1016/j.eswa.2023.122185
  11. Sonal Yadav; R Murugan; Tripti Goel, “H-Deep-Net: A deep hybrid network with stationary wavelet packet transforms for Retinal detachment classification through fundus images”, Medical Engineering & Physics, vol.120, 2023, 104048, DOI: https://doi.org/10.1016/j.medengphy.2023.104048
  12. Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer, “Association of White Matter Volume with Brain Age Classification using Deep Learning Network and Region Wise Analysis,” Engineering Applications of Artificial Intelligence, vol. 125, 2023, https://doi.org/10.1016/j.engappai.2023.106596
  13. Ananya Bhattacharjee, Sameh Rabea, Abhishek Bhattacharjee, Eslam B. Elkaeed, R Murugan, Heba Mohammed Refat M. Selima, Ram Kumar Sahu, Gamal A. Shazly, Mounir M. Salem Bekhit, “A Multi-class Deep Learning Model for Early Lung Cancer and Chronic Kidney Disease Detection”, Frontiers in Oncology, vol.13, pp.1-17, 2023.  https://doi.org/10.3389/fonc.2023.1193746
  14. N Jagan Mohan, R Murugan, Tripti Goel, Seyedali Mirjalili, Y K Singh, Debasis Deb, Parthapratim Roy, “Optimal Hybrid Feature Selection Technique for Diabetic Retinopathy Grading Using Fundus Images”, Sadhana, vol.48, 2023. https://doi.org/10.1007/s12046-023-02175-3
  15. N Jagan Mohan, R Murugan, Tripti Goel, and Parthapratim Roy, “DRFL: Federated Learning in Diabetic Retinopathy Grading Using Fundus Images”,  IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 6, pp. 1789-1801, June 2023, https://doi.org/10.1109/TPDS.2023.3264473
  16. R. Sharma, T. Goel, M. Tanveer, C. T. Lin and R. Murugan, “Deep learning based diagnosis and prognosis of Alzheimer’s disease: A comprehensive review,” in IEEE Transactions on Cognitive and Developmental Systems, 2023, https://doi.org/10.1109/TCDS.2023.3254209
  17. D N Kiran Pandiri, R Murugan, Tripti Goel, Nishant Sharma, Aditya Kumar Singh, Soumya Sen, Tonmoy Baruah, “POT-Net: Solanum Tuberosum (Potato) Leaves Diseases Classification using an Optimized Deep Convolutional Neural Network”, Imaging Science Journal, 2023, vol.70, no. 6, pp.387-403 https://doi.org/10.1080/13682199.2023.2169988
  18. Shradha Verma, Tripti Goel; M Tanveer, Weiping Ding, Rahul Sharma, R Murugan, “Machine learning techniques for the diagnosis of Schizophrenia: A comprehensive review and future research directions”, Journal of Ambient Intelligence and Humanized Computing, Vol.14, pp. 4795–4807 (2023). https://doi.org/10.1007/s12652-023-04536-6
  19. Ananya Bhattacharjee, R Murugan, Tripti Goel, Seyedali Mirjalili, “Pulmonary nodule segmentation framework based on fine-tuned and pre-trained deep neural network”,  IEEE Transactions on Radiation and Plasma Medical Sciences, vol. 7, no. 4, pp. 394-409, April 2023, https://doi.org/10.1109/TRPMS.2023.3236719
  20. Dhananjay Reddy, R Murugan, Arnab Nandi, Tripti Goel, “Classification of arrhythmia disease through electrocardiogram signals using sampling vector random forest classifier”, Multimedia Tools and Applications, Vol. 82, pp. 26797–26827 (2023). https://doi.org/10.1007/s11042-022-14304-x
  21. P Supriya Patro, Tripti Goel, S A VaraPrasad, M Tanveer, R Murugan, Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier”, Cognitive Computation, 2022. https://doi.org/10.1007/s12559-022-10093-5
  22. Anitha Juliette, R Murugan, Sripriya T,  “Diagnosis of heart disease using oversampling methods and decision tree classifier in cardiology”, Research on Biomedical Engineering, Vol.39, pp.99–113 (2023). https://doi.org/10.1007/s42600-022-00253-9
  23. N Jagan Mohan, R Murugan, Tripti Goel, Parthapratim 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
  24. 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. pp.1-9. https://doi.org/10.1109/JBHI.2022.3215533
  25.  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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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, vol. 29, no. 2, pp. 45-55, 2022, https://doi.org/10.1109/MMUL.2022.3156471
  33. 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
  34. 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
  35. 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
  36. 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
  37. 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
  38. Ananya Bhattacharjee, R Murugan, Swanirbhar Majumder, Tripti Goel, “Neural network-based computer-aided lung cancer detection”, Research on Biomedical Engineering, Vol.37, pp.657–671 2021. https://doi.org/10.1007/s42600-021-00173-0
  39. 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
  40. 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
  41. 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. 12, pages8887–8898, 2021. https://doi.org/10.1007/s12652-020-02688-3
  42. 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
  43. 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.51, pp.1351–1366, 2021. https://doi.org/10.1007/s10489-020-01904-z
  44. 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
  45. 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
  46. 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.
  47. 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.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. 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.
  53. 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.
  54. 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.
  55. 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.
  56. 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.
  57. 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.
  58. 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.
  59. 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)
  60. 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.
  61. 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.
  62. 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.
  63. 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. Bapan Ali Miah, Mausumi Sen, R. Murugan, “Qualitative Analysis and Numerical Investigation of a Class of Nonlinear Volterra-Fredholm Integro-Differential Equations of Fractional Order’, International Conference on Computational Mathematics and Applications, 2024, Silchar, India (Accepted for oral presentation and publication).
  2. Sonal Yadav, R Murugan, “Evaluating Deep Architecture Using Preprocessing Strategies for Classification of Retinal Detachment”, 17th International Conference on Knowledge and Smart Technology (KST), 2025. Bangkok, Thailand. (Accepted for oral presentation and publication).
  3. P Stoila Cindy, Ananya Bhattacharjee, R Murugan, Ram Kumar Karsh, “Classification of Lung Cancer Using Ensemble Deep Neural Network Through CT Images” the 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES2024), Malaysia, 2024. (Accepted for publication)
  4. Sonal Yadav, R Murugan, Pragato Bhattacharjee, Soham Modal, “GRD-Net: Graph Neural Network Model for Retinal Detachment Classification Through Fundus Image”, the 8th IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES2024), Malaysia, 2024. (Accepted for publication)
  5. Pilli Raveendra, Tripti Goel, R. Murugan, and M. Tanveer. “Brain Age Estimation of Alzheimer’s and Parkinson’s Affected Individuals using Self-attention based Convolutional Neural Network”, 27th International Conference on Pattern Recognition (ICPR), 2024. (Accepted for publication)
  6. R. Murugan, D N Kiran Pandiri, A Bhattacharjee, S Yadav, T Goel,”PEDNet: Preprocessed Ensembled Deep Network for Diagnosis of Epilepsy Seizures using EEG image representations”, Mind, Brain and Consciousness Conference-2023 (MBCC), IIT Mandi, HP, 2023. (Accepted for oral presentation)
  7. D N Kiran Pandiri, R. Murugan, Tripti Goel,”Multi-Feature Fusion for Soil Image Feature Extraction and Classification using Machine Learning”, IEEE 2023 Smart Generation Technologies in Computing, Networking & Communication (SMARTGENCON), Bangalore, 2023. (Accepted for oral presentation)
  8. A. Bhattacharjee, R. Murugan, T. Goel, “Automated Nodule Segmentation using Federated Learning through CT Images”, 2023 8th International Conference on Robotics and Automation Engineering, Singapore, 2023. (Accepted for oral presentation)
  9. P S Cindy, A. Bhattacharjee, R. Murugan, Ram Kumar Karsh, T. Goel, “Implementation of different U-Net architectures for segmentation of lung cancer CT images”, International Conference on Artificial Intelligence and Applications-2023 (has been accepted for an oral presentation on 16/08/2022).
  10. 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).
  11. 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).
  12. 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.
  13. 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).
  14. 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)
  15. 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).
  16. 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).
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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
  22. 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 
  23. 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)
  24. 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
  25. 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.
  26. 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
  27. 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
  28. 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.
  29. 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).
  30. 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.
  31. 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
  32. 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
  33. 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.
  34. 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
  35. 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.
  36. 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
  37. 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.
  38. 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
  39. 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
  40. 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.
  41. 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.
  42. 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
  43. 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
  44. 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)
  45. 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.
  46. 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.
  47. 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 Engineering, pp-30-37.
  48. 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.
  49. 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.
  50. 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.
  51. 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.
  52. Murugan, R & Reeba Korah 2013, ‘Comparative analysis of Blood Vessel Segmentation methods’, Proc. of International Conference on Information and Industrial Electronics, pp. 45-50.
  53. 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)
  54. 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).
  55. 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.
  56. 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.
  57. 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).
  58. 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.
  59. 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. D.N. Kiran Pandiri, R. Murugan, and Tripti Goel, Whale-optimized convolutional neural network for potato fungal pathogens disease classification, Handbook of Whale Optimization Algorithm, 2023.  https://doi.org/10.1016/B978-0-32-395365-8.00040-3
  2. 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,
  3. 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.
  4. 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
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. Murugan, R, 2019 Implementation of Deep Learning Neural Network for Retinal Image processing IGI Global publishers, USA, pp. 11–25.
  12. 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

  • Awarded International travel grant by Anusandhan National Research Foundation, India, for presenting the paper at the IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES2024), Malaysia (11 December 2024 to 13 December 2024).
  • Received best use of technology award in Biodesign Hackathon for Innovation in Medical Devixe and Systems organized by School of Innovations in Biomedical Devices and Systems, IIT Guwahati from 13-16 September 2023.
  • 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 in November 2016;
  • Received the best paper award from the International Conference on Advances in Engineering and Technology for the session Biometrics in 2011;
  • Received the best paper award from the National Conference on Information, Communication & Networking for the session Image Processing in 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) from Jan 2021 to Dec 2022.
  • In-charge of the 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

Completed:

  1. Dr. N Jegan Mohan (18-3-04-129-FT-July 2018), Thesis title: An Empirical Study on Early Detection and Diagnosis of Diabetic Retinopathy Using Conventional and Deep Learning Techniques Through Fundus Images, submitted on 26/05/2023 and defended on 07/02/2024, Role: Main Supervisor.
  2. Dr.Vijaya Yaduvanshi (19-3-04-123-PT-July 2019), Thesis title: Computer-Aided Diagnosis of Oral Cancer through Histopathological Images using Machine Learning Algorithms, submitted on 13/06/2024 and defended on 29/10/2024, Role: Supervisor.
  3. Dr.Kiran Pandiri (19-3-04-118-FT-July 2019), Thesis title: Automatic Classification of Soil Types and Plant Leaf Diseases using Image Processing and Machine Learning Algorithms, submitted on 30/05/2024 and defended on 05/11/2024, Role: Supervisor.

Submitted:

  1. Ms.Ananya Bhattacharjee (20-3-04-128-FT-July 2020), Thesis title: Empirical Studies On Lung Cancer Diagnosis Using Artificial Intelligence-Driven Models Through Computed Tomography Images,  submitted on 06/08/2024.Role: Supervisor.
  2. Ms.Dhanalakshmi Bhavani (19-3-04-127-PT-July 2019), Thesis title: Efficient Image Dehazing Algorithms with Conventional and Deep Learning Based Techniques Using Multi-Spectral Images, submitted on 03/12/2024.Role: Supervisor.

Synopsis submitted:

  1. Raveendra Pilli (21-3-04-035-FT-July 2021), Synopsis title: Leveraging Deep Learning to Establish the Brain Age Gap as a Critical Diagnostic Biomarker for Neurological Disorders, submitted on 26/11/2024.Role: Co-supervisor.

On-going:

  1. Mr.Kiran Venniti (19-3-04-113-PT-July 2019-ongoing), (Registration Completed)
  2. Ms.M.Sandhya (20-3-04-107-PT-July 2020-ongoing), (Registration Completed)
  3. Mr. Ragipati Karthik (20-3-04-123-FT-July 2020-ongoing), (Registration Completed)
  4. Ms.Sonal Yadav(21-3-04-051-FT-July 2021-Project staff-JRF-ongoing), (Enhancement seminar completed)
  5. Mr.Debasis Deb(21-3-04-042-PT-July 202-ongoing), (Registration Completed)
  6. Mr. Muralitharan S (24304013-FT-July 2024-ongoing)
  7. Ms. Gaitri Laishram (24304009-FT-July 2024-Project staff-ongoing)
  8. Ms. Parimala N (24304007-PT-July 2024-ongoing)

M.Tech. Scholars Guided/Guiding

  1. Ms. Sunitha (2018 in St.Peters Engg. College, Hyderabad) works in Infosys Technologies, Hyderabad.
  2. Mr. Dhaujay Reddy (2019-2021, NIT Silchar) is currently pursuing PhD at IIT Roorkee.
  3. Mr. Sanjoy Das, Reg.No: 2024120 (2020-2022-NIT Silchar) working as a Software Engineer at Valeo Technologies, Chennai.
  4. Ms. Supriya Patro (Co-supervisor) (2020-2022-NIT Silchar) working as a Software Engineer at SAMSUNG.
  5. Ms. Stoila Cindy, Reg.No: 2124105 (2021-2023, NIT Silchar) worked as a System Engineer at  SYSTRA MVA Consulting (India) Private Limited and is currently pursuing PhD at NIT Silchar.
  6. Mr. Muralitharan S, 2224110 (2022-2024, NIT Silchar) is currently pursuing PhD at NIT Silchar.
  7. Mr. Ankit,  (2023-2025 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.
  8. C V Anirudh (1914123), Nandiboyana Charan Teja (1914160), Naman Tyagi (1914186), CLASSIFICATION OF AGE-RELATED MACULAR DEGENERATION DISEASE USING DEEP LEARNING, NIT Silchar, 2023.
  9. Siddharth Das (1914071), Adarsh Kumar (1914079), Palagiri Venkata Yogananda Kumar Reddy (1914112), Classification of Oral Cancer Disease using Convolutional Neural Network, NIT Silchar, 2023.

Workshop/FDP/STP organized.

  1. Workshop Name: 12th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 29/08/2024, End Date: 02/09/2024.
  2. Workshop Name: 11th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 24/08/2024, End Date: 28/08/2024.
  3. Workshop Name: hands-on training workshop on IOT and Robotics, Funding Agency: Self, Start Date: 23/08/2024, End Date: 24/08/2024.
  4. Workshop Name: 10th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 19/08/2024, End Date: 23/08/2024.
  5. Workshop Name: 9th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 12/08/2024, End Date: 16/08/2024.
  6. Workshop Name: 8th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 07/08/2024, End Date: 11/08/2024.
  7. Workshop Name: 7th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 02/08/2024, End Date: 06/08/2024.
  8. Workshop Name: 6th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 28/07/2024, End Date: 01/08/2024.
  9. Workshop Name: 5th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 23/07/2024, End Date: 27/07/2024.
  10. Workshop Name: 4th BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 10/.2/2024, End Date: 14/02/2024.
  11. Workshop Name: 3rd BootCamp on Drone Skill Development and Entrepreneurship Training Programme, Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 05/02/2024, End Date: 09/02/2024.
  12. FDP Name: Faculty Development Program on “Communication, Signal Processing and Advance Technologies For Next Generation Applications” Funding Agency: BBIT, Kolkata, India, Funding Amount: Rs. 100000 Start Date: 20/11/2023, End Date: 24/11/2023.
  13. FDP Name: 2nd BootCamp on Drone Skill Development and Entrepreneurship Training Programme,  Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 10/10/2023, End Date: 14/10/2023.
  14. FDP Name: 1st BootCamp on Drone Skill Development and Entrepreneurship Training Programme,  Funding Agency: MIETY, Funding Amount: Rs 100000, Start Date: 03/10/2023, End Date: 07/10/2023.
  15. 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.
  16. DP 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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,
  22. 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
  23. 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
  24. 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 “AI-Powered medical image Processing, scheduled on 06/12/2022 from 07.00 AM to 09.30 PM IST in online mode organized by Dept. of ECE, Anand Institute of Higher and Technology, Chennai, Tamilnadu. https://drive.google.com/file/d/1Fr0Hmey9SrvH7WK5FB8sCXRLOWN87zgJ/view?usp=sharing
  2. 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. https://drive.google.com/file/d/1z5szGNUS8PAZI6oLUv7p-U7YCuD3VVsG/view?usp=sharing
  3. Served as session chair for the Signal Processing track of the 2022 IEEE Silchar Subsection Conference (IEEE SILCON-2022) held during 04-06 November 2022 at NIT Silchar, Assam, India.https://drive.google.com/file/d/1KCE7Cb2j7IfHI9JecHGAycSeXfVuO37i/view?usp=sharing
  4. 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. https://drive.google.com/file/d/1_ockd9CH06QXc_bxDJH7nZbCNfv0v-Lg/view?usp=sharing
  5. 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. https://drive.google.com/file/d/1P4K_eYChFZR1eeppSOIE–RIAVlX1Qxx/view?usp=sharing
  6. Delivered a guest lecture on “Role of AI in Medical Image Processing which is scheduled on 26/06/2023 (Monday)from 10:00 AM to 12.30 PM IST in online mode organized by Dept. of ECE, Madanapalle Institute of Technology, AP. https://drive.google.com/file/d/1U9-yfZUjnOZZWnW79A0UypBCBFibTYJ5/view?usp=drive_link

Conferences Organized

  1.  Organized an International Intellectual Convergence on Advances in Sciences and Engineering at AMS College of Engineering, Chennai, from 03 Mar 2017 to 04 Mar 2017, as the role of Secretary.

  2.  Organized an International Conference on Signal Processing and Computer Vision -2023 (SIPCOV-2023) at NIT Silchar from 30 March 2023 to 31 March 2023 as the role of Organizing Chair.

  3. Organized an International Conference on International Conference on Informatics and Smart Engineering Systems (INSES-2024) in collaboration with LOYOLA – ICAM COLLEGE OF ENGINEERING AND TECHNOLOGY (LICET), Chennai, India at Chennai from  21st – 22nd March 2024 as the role of Organizing Chair.