News Update:
Dr. Vinod Kumar R S
Dr. Vinod Kumar R S

Professor, Dean (Faculty of Electrical and Electronics Engineering)

rsvinodkumar69@yahoo.co.in

Education
  • Doctor of Philosophy - Information & Communication Engineering, Anna University, Chennai (2015)
  • Master of Engineering - Communication Systems, Mepco Schlenk Engineering College, Sivakasi (2000)
  • Master of Science - Electronics & Control, Birla Institute of Technology & Science, Polani (1995)
  • Bachelor of Engineering - Electronics & Communication Engineering, Government College of Engineering, Tirunelveli (1991)

Experience
  • Professor, NOORUL ISLAM CENTRE FOR HIGHER EDUCATION (2017-11-14 - Present)
  • Associate Professor , NOORUL ISLAM CENTRE FOR HIGHER EDUCATION (2010-09-18 - 2017-11-13)
  • Assistant Professor, NOORUL ISLAM CENTRE FOR HIGHER EDUCATION (2003-04-01 - 2010-09-17)
  • Senior Lecturer, NOORUL ISLAM CENTRE FOR HIGHER EDUCATION (2002-02-06 - 2003-03-31)
  • Lecturer, NOORUL ISLAM CENTRE FOR HIGHER EDUCATION (1993-12-07 - 2002-02-06)

Journal Publications
  • Innovative Deep Learning Strategies: EfficientNet and Dense Networks for Histopathological Colon Cancer Diagnosis by Namitha T M and Vinod Kumar R S, International Journal of Intelligent Engineering & Systems (2025)
  • Explainable artificial intelligence for detecting lung cancer by 1Vinod Kumar R S, Bushara A R., Abubeker K M., Smitha K M., Abini M A., Jubaira Mammoo, & Bijesh Paul, iapgos (2025)
  • Facial Expression Recognition and Classification Using Optimized EfficientNet-B7 by Jenu Prabha J J & Vinod Kumar R S, The International Arab Journal of Information Technology (IAJIT) (2025)
  • A Deep Learning Network for Classification of Lung Cancer from Computer Tomography Images Using Fine-Tuned Visual Geometric Group-16’ by Benoy Abraham, Vinod Kumar R S & Kumar S S, Journal of Information Systems Engineering and Management (2025)
  • Multiple Scaling Based EfficientNet Modelling For Liver Tumor Classification On CT Images by Bilga Jacob, Vinod Kumar R. S & Kumar S. S, International Journal of Bioautomation (2024)
  • Transformer Skip-Fusion Based SwinUNet for Liver Segmentation From CT Images by Kumar. S S, & Vinod Kumar R.S.,, International Journal of Imaging Systems and Technology (2024)
  • Pose Invariant Face Recognition Using Optimized Hybrid Yolo Algorithm From Image by Jenu Prabha J J & Vinod Kumar R S, International Journal of Image and Graphics (2024)
  • Down syndrome markers classification via dense neural network in ultrasound fetal image by Evelin Pregitha R., Vinod Kumar, R.S. & Kumar, C.E.S. , Soft Computing (2023)
  • CoC-ResNet-Classification of colorectal cancer on histopathologic images using residual networks by vi. Kishor. R., Vinod Kumar R. S, Multimedia Tools and Applications (2023)
  • Segmentation of Liver Computed Tomography Images using Dictionary based Snakes by Shanila N., Vinod Kumar. R. S., Ramya Ravi. R, International Journal of Biomedical Engineering and Technology (2022)
  • Optimized Support Vector Neural Network and Contourlet Transform for Image Steganography by Reshma, V. K., Vinod Kumar, R. S., Shahi, D., Shyjith M.B, Evolutionary Intelligence (2022)
  • High Capacity Reversible Steganography on CMY and HSI Color Images Using Image Interpolation by Shahi.D., and Vinod Kumar. R. S and Reshma V. K, Computing Technology and Information Management (2021)
  • Low Power Pulsed Flip-Flop with Clock Gating and Conditional Pulse Enhancement by Kuruvilla John, Vinod Kumar. R. S., Kumar S. S, International Journal of Automation and Control (2021)
  • Detection of Non Frontal and Covered Face Image Using Viola Jones Algorithm by Jenu Prabha J J., Vinod Kumar R S, International Scientific Journal of Contemporary Research in Engineering Science and Management (ISJCRESM) (2021)
  • Performance Analysis of Preprocessing Filters Using CT Images for Liver Lesion Diagnosis by Shanila N., Vinod Kumar. R. S., Ramya Ravi. R, International Journal of Biomedical Engineering and Technology (2021)
  • Chicken-Moth Search Optimization-Based Deep Convolutional Neural Network for Image Steganography by Reshma V. K., Vinod Kumar R. S., Shahi D., Shyjith M B, Scalable Computing: Practice and Experience (2020)
  • Pixel Prediction-Based Image Steganography by Support Vector Neural Network by Reshma, V. K., Vinod Kumar, R. S, The Computer Journal (2020)
  • Performance Evaluation of Various Active Contour Models for Liver Boundary Detection in Abdomen Computed Tomography Images by Shanila N., and Vinod Kumar. R. S.,, Journal of Critical Reviews (2020)
  • Feature Extraction and Performance Evaluation of Classification algorithms for Liver Tumor Diagnosis of Abdominal Computed Tomography Images by Shanila N., Vinod Kumar. R. S., and Abin. N. A., , Journal of Advanced Research in Dynamical and Control System (2020)
  • Reversible Steganography for RGB Images Using Image Interpolation by Shahi.D., and Vinod Kumar. R. S , Journal of Advanced Research in Dynamical and Control System (2020)
  • Patch-based texture synthesis using the Compatibility between patches in Spatial Domain by Vinod Kumar. R. S., S. Arivazhagan, Journal of Emerging Technologies Image Processing and Networking (2019)
  • Design of Conditional Pulse Enhancement Flip-Flop Embedded with Clock Gating and Signal Feed-through Mechanism by Kuruvilla John, Vinod Kumar. R. S., Kumar S. S., Journal of Engineering Science and Technology (2019)
  • A survey on Methodology based Medical Image segmentation Techniques and their Applications by ix. Shanila N., Vinod Kumar. R. S., and Ramya Ravi. R., Journal of Advanced Research in Dynamical and Control System (2019)
  • Effect of Clock Gating in Conditional Pulse Enhancement Flip-Flop for Low Power Applications by Kuruvilla John, Vinod Kumar. R. S., Kumar S. S., Indonesian Journal of Electrical Engineering and Informatics (2019)
  • A Novel Design of Synchronous Counter for Low Power and High Speed Applications by Kuruvilla John, Vinod Kumar. R. S., Kumar S. S., International Journal of Engineering and Advanced Technology (2019)
  • Segmentation of Melanoma using Triclass Thresholding in Dermoscopic Images by Ramya Ravi, R., Vinod Kumar. R. S., and Shanila N, Journal of Advanced Research in Dynamical and Control System (2019)
  • Design of Low Power and High Speed Implicit Pulse Flip-Flop and its Application by Kuruvilla John, Vinod Kumar. R. S. & Kumar. S.S, International Journal of Engineering and Technology (2018)
  • Impact of Pulse-Triggered Flip-Flops in Low Power Applications by Kuruvilla John, Vinod Kumar. R. S., Kumar S. S., Journal of Advanced Research in Dynamical & Control Systems (2018)
  • Artifacts Removal in Melanoma Using Various Pre-processing Filters by Ramya Ravi. R., Vinod Kumar. R. S., and Shanila N, International Journal of Engineering & Technology (UAE) (2018)
  • Adaptive Patch Based Texture Synthesis Using Contourlet Transform by Vinod Kumar. R. S, & S. Arivazhagan, Journal of Intelligent and Fuzzy Systems (2015)
  • Region Completion in a Texture using Multiresolution Transforms by Vinod Kumar. R. S, & S. Arivazhagan, International Journal of Engineering-TRANSACTIONS B: Applications (2014)
  • Novel Methods for Non Uniform Patch Based Texture Synthesis using Random Selection of Patches by Vinod Kumar. R. S, & S. Arivazhagan, International Review on Computers and Software (2013)
  • Adaptive Patch Based Texture Synthesis Using Modified Boundary Determination Technique by Vinod Kumar. R. S., & S. Arivazhagan, European Journal of Scientific Research (2012)
  • Classification of Benign and Malignancy in Lung Cancer Using Capsule Networks with Dynamic Routing Algorithm on Computed Tomography Images by Bushara A R, Vinod Kumar R. S & Kumar S. S, Journal of Artificial Intelligence and Technology (0)
  • Grey Wolf optimized SwinUNet based transformer framework for liver segmentation from CT images’ by iii. Kumar. S S, Vinod Kumar R. S, Ranjith V G., S. Jeevakala, and S. Sajithra Varun , Computers and Electrical Engineering (0)
  • The Implications Of Varying Batch-Size in the Classification of Patch based Lung Nodules Using Convolutional Neural Network Architecture on Computed Tomography Images’ by iv. Bushara A R, Vinod Kumar R. S & Kumar S. S, Journal of Biomedical Photonics & Engineering (0)
  • Literature Survey on Deep Learning Methods For Liver Segmentation from CT images: A Comprehensive Review by Kumar S. S., and Vinod Kumar R. S., , Multimedia Tools and Applications (0)
  • FOE-NET: Segmentation of Fetal in Ultrasound Images using V-NET by vii. Evelin Pregitha R., Vinod Kumar, R.S, International Journal of Electrical and Computer Engineering Systems (0)
  • Segmentation Of Ultrasound Fetal Image Using Spatial Fuzzy C-mean Clustering Method by xiv. Evelin Pregitha R., Vinod Kumar R S., C. and Ebbie Selvakumar , Neuro Quantology (0)
  • Deep Learning-based Lung Cancer Classification of CT Images using Augmented Convolutional Neural Networks by Bushara A. R., and Vinod Kumar R S, Electronic Letters on Computer Vision and Image Analysis (0)
  • LCD Capsule Network for the Detection and Classification of Lung Cancer on Computed Tomography Images by Bushara A. R., and Vinod Kumar R S., S S. Kumar, Multimedia Tools and Applications (0)
  • An ensemble method for the detection and classification of lung cancer using Computed Tomography images utilizing a capsule network with Visual Geometry Group by ix. Bushara A. R., and Vinod Kumar R S., S. S. Kumar, Biomedical Signal Processing and Control (0)

Books Published
  • Digital Image Processing, ISBN: 9789362604750, Publisher: Charulatha Publishers
  • Artificial Intelligence and Machine Learning, ISBN: 9789362601407 , Publisher: Charulatha Publishers

Patents
  • IOT ENABLED DIGITAL MICRO METER, 447625001, 2025, The Patent Office, Government of India - Design - Granted
  • CAPSULE ENSEMBLE FRAMEWORK FOR ACCURATE LUNG CANCER DETECTION IN COMPUTED TOMOGRAPHY IMAGES WITH VISUAL GEOMETRY GROUP, 201941025614., 2024, The Patent Office, Government of India - Utility - Filed
  • LUNG CANCER TESTING DEVICE’ , 387710001, 2023, Intellectual Property INDIA - Design - Granted
  • AGRICULTURE ROBORT, 387239001, 2023, Intellectual Property INDIA - Design - Granted

Conferences
  • Advances in Image Interpolation Techniques For Digital Image Process and Steganography, ICEECT’25 (May 23, 2025)
  • Certain Studies on Noise Distortions in Reversible Image Steganography Schemes, ICCICCT-2025 (April 23, 2025)
  • Liver Segmentation Using a Modified Transformer Model, ICCICCT-2025 (April 23, 2025)
  • Enhanced Lung Segmentation from Chest X-Ray Images Using a Novel Modified U-Net with Dual Attention, ICCICCT-2025 (April 23, 2025)
  • A Systematic Review Of Deep Learning Techniques For Colon Cancer Classification: Trends And Challenges, ICETEAS 2025 (April 3, 2025)
  • A Review On Iron Oxide Nanocomposites For Supercapacitor Applications, ICETEAS 2025 (April 3, 2025)
  • A Comparison On Different Pretrained Models For Lung Cancer Detection And Classification, ICETEAS 2025 (April 3, 2025)
  • Leveraging Efficientnet-B0 For Enhanced Colon Cancer Detection: A Hybrid CNN Approach, ICETEAS 2025 (April 3, 2025)
  • Reversible Image Steganography Techniques: State-Of The-Art, Challenges, And Future Perspectives, ICETEAS 2025 (April 3, 2025)
  • Advancements In Deep Learning For Early Detection And Classification Of Skin Cancer: A Comprehensive Review, ICETEAS 2025 (April 3, 2025)
  • Automated Lung Lobe Segmentation From Ct Images Using U-Net++ Architecture, ICETEAS 2025 (April 3, 2025)
  • Emerging Paradigms In Liver Cancer Classification Using Deep Learning Techniques, ICETEAS 2025 (April 3, 2025)
  • Advanced Pose-Invariant Facial Expression Recognition Using Deep Learning, ICETEAS 2025 (April 3, 2025)
  • Advancements in Lung Cancer Diagnosis through Capsule Neural Network in CT Images’, PER ICEECT 24 (April 27, 2024)
  • Comparative Study of Image Interpolation Methods, PER ICEECT 24 (April 27, 2024)
  • Explainable AI for Detecting Lung Cancer’, ICACCES-2024 (February 23, 2024)
  • DLivSegNet - Deep Learning based Liver Segmentation Network in Ensembled CT images, ICACCES-2024 (February 22, 2024)
  • Lung Cancer Diagnosis and Classification Using Deep Learning Architecture on Computed Tomographic Images’, ICRIMSET 2023 (April 27, 2023)
  • Histopathological Detection for Colorectal Cancer: A potential Deep Learning – Assisted Method, ICRIMSET 2023 (April 27, 2023)
  • A Detailed Survey on Face Recognition Methodologies, ICETEAS 2023 (April 12, 2023)
  • A Survey on Patch Based Texture Synthesis Techniques, ICETEAS 2023 (April 12, 2023)
  • A Review on Computer-Aided Early Detection and Classification of Lung Cancer from CT Images, ICETEAS 2023 (April 12, 2023)
  • Deep learning-based computer-aided diagnosis of early lung cancer detection in low-dose CT, ICETEAS 2023 (April 12, 2023)
  • Resnet-50 Architecture for Classification of Colon Cancer on Histopathology Images,, ICETEAS 2023 (April 12, 2023)
  • IoT Based Wireless Robot Development for Medical Sensor Data Monitoring Using High Speed Spartan 6E FPGA Controller under Pandemic Time, ICETEAS 2023 (April 12, 2023)
  • A Review on Data Hiding Techniques, ICETEAS 2023 (April 12, 2023)
  • Patch-Based Neural Network for the Lung Nodule Classification on Computed Tomographic Images, ICAISCS (January 28, 2023)
  • Diagnosis Of Covid 19 Based On Deep Learning, ICETSSI 2021 (May 28, 2021)
  • Analysis Of Various Interpolation Techniques, ICETSSI 2021 (May 28, 2021)
  • Survey on various Data Hiding Techniques, ICES – 2021 (May 4, 2021)
  • Detection of Non Frontal and Covered Face Image Using Viola Jones Algorithm, ICRITCC 2021 (March 25, 2021)
  • Segmentation of Ultrasound Fetal Image Using Spatial Fuzzy C – mean Clustering Method , ICRITCC 2021 (March 25, 2021)
  • EEG Emotion Recognition and Detection using Deep Convolutional Neural Network, ICES-2020 (February 20, 2020)
  • Survey of Classification Techniques for Melanoma Detection Using Dermoscopic Images, ETMPC-2019 (February 22, 2019)
  • Deep Learning Methods, Limitations and Application: Survey, ETMPC-2019 (February 22, 2019)
  • Performance of Implicit Pulsed Flip-Flops in Low Power and High Speed Applications, ICFACT-2019 (January 24, 2019)
  • Review on Various Segmentation Methods for Melanoma Detection, ICFACT-2019 (January 24, 2019)
  • Medical Image Segmentation and its Application: A Survey, ICFACT-2019 (January 24, 2019)
  • Performance Comparison of Explicit Pulsed Flip-Flops in Low Power and High Speed Applications, ICCSDET-2019 (December 21, 2018)
  • Impact of Pulse-Triggered Flip-Flops in Low Power Applications, ICRTSME-2017 (November 24, 2017)
  • An analysis for co-operative control of multi missile for Static Target System, ICTCET-2016 (February 18, 2016)
  • Adaptive Patch Based Texture Synthesis using Wavelets, ICSCCN 2011 (July 21, 2011)
  • Effects of Variation of Patch Size and Seam Size in Patch Based Texture Synthesis, ICCCNT’10 (July 29, 2010)

Projects
  • Dr. Vinod Kumar R S - Deep learning based Swin Transformer Approach for Efficient Liver Tumour Segmentation in CT Images
  • Dr. Vinod Kumar R S - Automated Defect Recognition in radiography of Solid Rocket Motors and Composite Hardware

Faculty Development Programs (FDP)
  • Emerging Trends in Engineering Technologies’ - FDP (June 23, 2025 to June 28, 2025)
  • ROLE OF AI IN BOIIMAGING & SIGNAL PROCESSING - FDP (May 26, 2025 to May 30, 2025)
  • Diseases due to Life Style Changes - Faculty Development Program (May 26, 2025 to May 31, 2025)
  • Medical Image Analysis - FDP (January 20, 2025 to February 28, 2025)
  • Workflow Automation with AI in Excel / Word - FDP (December 16, 2024 to December 20, 2024)
  • Empowering smart education and research with AI and IoT: Strategies for the Future - FDP (November 25, 2024 to November 29, 2024)
  • Diseases due to Life style Changes - FDP (May 15, 2024 to May 22, 2024)
  • Cloud Security Fundamentals - FDP (May 13, 2024 to May 17, 2024)

Online Courses
  • Medical Image Analysis - NPTEL (January 20, 2025 to February 28, 2025)

Events Organized
  • Dr. Vinod Kumar R S - International Day of Yoga - 2024
  • Dr. Vinod Kumar R S - Dynamism for Self and Nation in Tamil - AOL
  • Dr. Vinod Kumar R S - INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN ENGINEERING AND APPLIED SCIENCES (ICETEAS 2023)
  • Dr. Vinod Kumar R S - INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES IN ENGINEERING AND APPLIED SCIENCES (ICETEAS 2025)
  • Dr. Vinod Kumar R S - International Day of Yoga - 2025
  • Dr. Vinod Kumar R S - Seminar on Ancient Indian Lifestyle - YOGA

Awards
  • Dr. Vinod Kumar R S - NICHE Ascend 2025 - FOR REMARKABLE CONTRIBUTIONS IN RESEARCH, INNOVATION AND INSTITUTIONAL ADVANCEMENT- a tribute to your passion, purpose and pursuit of excellence
  • Dr. R. S. VINOD KUMAR. - Dr. R. S. Vinod Kumar, Professor & Head, Department of ECE, received the II Prize for the Best Teacher among the Engineering Colleges of Kanyakumari District, in the SICT Awards 2017, held on 20th March 2017, from the District Collector Mr. Sajjan Singh Chavan, IAS.

Guest Activities
  • No guest activities available.

Additional Contributions
  • Workshop - Seminar on Ancient Indian Life Style (May 19, 2025)
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