K Manivannan

@jainuniversity.ac.in

Professor, Department of CSE, School of CSE, JAIN Deemed to be University, JAIN Global Campus,
JAIN Deemed to be University

K Manivannan
K Manivannan is an Professor of Computer Science and Engineering in
JAIN Deemed to be University,Bangalore, India. He received
B.E degree in Computer Science and Engineering from Anna University, Chennai and
M.E degree in Computer Science and Engineering from the same University. He has
A Ph.D in Computer Science and Engineering from Anna University, Chennai,
Tamilnadu, India. He has Published 37 National and International Journals, 10
Conferences and 4 books. He has successfully guided 5 Ph.D students in Anna
University, Chennai. His area of interests includes Medical Image Processing, High Performance
Computing, Distributed and Network Architecture.

EDUCATION

B.E CSE
M.E CSE

RESEARCH INTERESTS

Machine Learning, Medical Image Processing

FUTURE PROJECTS

Automatic and Reliable Plant Virus detection Using Deep Learning

Specifically we aim to 1.Create a computer-aided tool to automatically detect and classify the various levels of plant pathogens especially in virus 2.Train AI to identify additional features associated 3.Now a days various biosensors are available for the detection of plant pathogens in- suit analysis. 4.If plant pathogen detection can be done using deep learning techniques by analyzing the images of plant leaves, it will be beneficial for taking prevention methods in an early stage. Real time images of crops from large fields can be taken occasionally and can be analyzed for infection using the images taken will be really beneficial. 5.Thousands of images of plant leaves are kept for the analysis and the biosensor result can also be incorporated for fine tuning of the results. 6.The viruses that caused the infection can be identified and the disease can be detected.Early stage detection will prevent the spread of infection over a large field. . KeywordsPlant virus pathogens, Deep lea


Applications Invited
710

Scholar Citations

13

Scholar h-index

15

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Simulation-Driven Dual-Band Graphene–Silver Terahertz Metasurface Biosensor Integrated with Machine Learning for Mode-Resolved Hemoglobin Detection
    G Thangavel, VJM Jerard, K Manivannan, AN Sasikumar, V Selvaraj, ...
    Sensors International, 100357 , 2025
    2025
    Citations: 1
  • Enhanced AI based diabetic risk prediction using feature scaled ensemble learning technique based on cloud computing
    K Manivannan, K Ramkumar, R Krishnamurthy
    SN Computer Science 5 (8), 1123 , 2024
    2024
    Citations: 12
  • Machine learning driven routing optimization for named data networking in mobile adhoc network
    K Manivannan, PA Mary, REF Jino, P Dineshkumar, MS Harivisva, ...
    2024 8th International Conference on Computational System and Information … , 2024
    2024
    Citations: 20
  • A Secure Aware Routing Protocol for Efficient and Reliable FPANETS
    PA Mary, D Maalini, K Manivannan, K Umamaheswari, S Balaji, ...
    2024 First International Conference on Software, Systems and Information … , 2024
    2024
    Citations: 11
  • Transforming ophthalmic diagnosis: A deep learning approach for accurate eye disease classification
    C Venkatachalam, K Manivannan, P Shah, S Venkatachalam, RS Kumar
    2024 5th International Conference on Image Processing and Capsule Networks … , 2024
    2024
    Citations: 2
  • Efficient Guided Grad-CAM Tuned Patch Neural Network for Accurate Anomaly Detection in Full Images
    K Rajkumar, R., Shanthi, D., Manivannan
    Information Technology and Control 53 (2), 355-371 , 2024
    2024
    Citations: 8
  • Unleashing the power of industry 4.0: a harmonious blend of data-centric and model-centric AI
    M Karunakaran, B Krishnan, D Shanthi, JB Raja, BSK Durai
    Data-Centric Artificial Intelligence for Multidisciplinary Applications, 40-54 , 2024
    2024
    Citations: 2
  • Machine learning for twinning the human body
    M Karunakaran, C Venkatachalam, TR Mahesh, B Krishnan, S Nagaraj
    Digital Transformation in Healthcare 5.0: Volume 2: Metaverse, Nanorobots … , 2024
    2024
    Citations: 1
  • Blockchain technology in cloud security
    M Karunakaran, K Bellam, JB Raja, D Shanthi
    Emerging Technologies and Security in Cloud Computing, 53-75 , 2024
    2024
    Citations: 4
  • The Deciding Divide: A Comparative Study on Exploring the Parallels and Contrasts in Decision-Making between Humans and Artificial Intelligence
    K Manivannan, C Venkatachalam, S Nagaraj, S Jeeva
    2023 IEEE International Conference on ICT in Business Industry & Government … , 2023
    2023
    Citations: 4
  • Encryption for Enhanced Privacy
    C Venkatachalam, K Manivannan, S Venkatachalam
    Fourth International Conference on Image Processing and Capsule Networks … , 2023
    2023
  • Securing data in the cloud: The application of fuzzy identity biometric encryption for enhanced privacy and authentication
    C Venkatachalam, K Manivannan, S Venkatachalam
    International Conference on Image Processing and Capsule Networks, 213-224 , 2023
    2023
    Citations: 7
  • Detection of meningioma tumor images using Modified Empirical Mode Decomposition (MEMD) and convolutional neural networks
    S Krishnakumar, K Manivannan
    Journal of Intelligent & Fuzzy Systems 44 (2), 1715-1726 , 2023
    2023
    Citations: 1
  • Big data analytics assisted arithmetic optimization with deep learning model for sentiment classification
    K Manivannan, T Suresh, M Parthiban
    International Journal of Engineering Trends and Technology 71 (12), 50-60 , 2023
    2023
    Citations: 22
  • A novel approach for block chain technology based cyber security in cloud storage using hash function
    CK Pappa, DN Banu, K Vaishnavi, S Nagarajan, M Karunakaran, ...
    Journal of Advanced Research in Applied Sciences and Engineering Technology … , 2023
    2023
    Citations: 2
  • A Jamming Attacks Detection Approach Based on CNN based Quantum Leap Method for Wireless Sensor Network
    K. Manivannan M. Balasubramani
    International Journal on Recent and Innovation Trends in Computing and … , 2023
    2023
    Citations: 1
  • Machine Learning Models based Mental Health Detection
    Manivannan Karunakaran, J. Balusamy and K. Selvaraj
    IEEE Third International Conference on Intelligent Computing Instrumentation … , 2022
    2022
    Citations: 24
  • Hybridization of immune with particle swarm optimization in task scheduling on smart devices
    J Balusamy, M Karunakaran
    Distributed and Parallel Databases 40 (1), 85-107 , 2022
    2022
    Citations: 5
  • An obfuscation technique for malware detection and protection in Sandboxing
    V Sathya, K Manivannan, V Vani, S Chandrasekaran
    Artificial Intelligence for Cyber Security: Methods, Issues and Possible … , 2021
    2021
    Citations: 4
  • RETRACTED ARTICLE: Effective segmentation and classification of brain tumor using rough K means algorithm and multi kernel SVM in MR images
    S Krishnakumar, K Manivannan
    Journal of Ambient Intelligence and Humanized Computing 12 (6), 6751-6760 , 2021
    2021
    Citations: 96

MOST CITED SCHOLAR PUBLICATIONS

  • Fusion based glioma brain tumor detection and segmentation using ANFIS classification
    A Selvapandian, K Manivannan
    Computer methods and programs in biomedicine 166, 33-38 , 2018
    2018
    Citations: 178
  • RETRACTED ARTICLE: Effective segmentation and classification of brain tumor using rough K means algorithm and multi kernel SVM in MR images
    S Krishnakumar, K Manivannan
    Journal of Ambient Intelligence and Humanized Computing 12 (6), 6751-6760 , 2021
    2021
    Citations: 96
  • Bearing fault diagnosis using wavelet packet transform, hybrid PSO and support vector machine
    C Rajeswari, B Sathiyabhama, S Devendiran, K Manivannan
    Procedia Engineering 97, 1772-1783 , 2014
    2014
    Citations: 84
  • Particulate matter characterization by gray level co-occurrence matrix based support vector machines
    K Manivannan, P Aggarwal, V Devabhaktuni, A Kumar, D Nims, ...
    Journal of hazardous materials 223, 94-103 , 2012
    2012
    Citations: 61
  • A fuzzy logic‐based meningioma tumor detection in magnetic resonance brain images using CANFIS and U‐Net CNN classification
    B Ragupathy, M Karunakaran
    International Journal of Imaging Systems and Technology 31 (1), 379-390 , 2021
    2021
    Citations: 27
  • Performance analysis of meningioma brain tumor classifications based on gradient boosting classifier
    A Selvapandian, K Manivannan
    International Journal of Imaging Systems and Technology 28 (4), 295-301 , 2018
    2018
    Citations: 27
  • Condition monitoring on grinding wheel wear using wavelet analysis and decision tree C4. 5 algorithm
    S Devendiran, K Manivannan
    International Journal of Engineering and Technology 5 (5), 4010-4024 , 2013
    2013
    Citations: 26
  • Machine Learning Models based Mental Health Detection
    Manivannan Karunakaran, J. Balusamy and K. Selvaraj
    IEEE Third International Conference on Intelligent Computing Instrumentation … , 2022
    2022
    Citations: 24
  • Big data analytics assisted arithmetic optimization with deep learning model for sentiment classification
    K Manivannan, T Suresh, M Parthiban
    International Journal of Engineering Trends and Technology 71 (12), 50-60 , 2023
    2023
    Citations: 22
  • A deep learning model integrating convolution neural network and multiple kernel K means clustering for segmenting brain tumor in magnetic resonance images
    B Ragupathy, M Karunakaran
    International Journal of Imaging Systems and Technology 31 (1), 118-127 , 2021
    2021
    Citations: 22
  • Machine learning driven routing optimization for named data networking in mobile adhoc network
    K Manivannan, PA Mary, REF Jino, P Dineshkumar, MS Harivisva, ...
    2024 8th International Conference on Computational System and Information … , 2024
    2024
    Citations: 20
  • Diagnostics of gear faults using ensemble empirical mode decomposition, hybrid binary bat algorithm and machine learning algorithms
    C Rajeswari, B Sathiyabhama, S Devendiran, K Manivannan
    Journal of Vibroengineering 17 (3), 1169-1187 , 2015
    2015
    Citations: 17
  • Response of pole type French bean (Phaseolus vulgaris L.) genotypes to sowing dates in the mid hills of western Nepal
    YR Pandey, DM Gautam, RB Thapa, MD Sharma, KP Paudyal
    Nepal Journal of Science and Technology 13 (2), 15-20 , 2012
    2012
    Citations: 16
  • Enhanced AI based diabetic risk prediction using feature scaled ensemble learning technique based on cloud computing
    K Manivannan, K Ramkumar, R Krishnamurthy
    SN Computer Science 5 (8), 1123 , 2024
    2024
    Citations: 12
  • A Secure Aware Routing Protocol for Efficient and Reliable FPANETS
    PA Mary, D Maalini, K Manivannan, K Umamaheswari, S Balaji, ...
    2024 First International Conference on Software, Systems and Information … , 2024
    2024
    Citations: 11
  • Efficient Guided Grad-CAM Tuned Patch Neural Network for Accurate Anomaly Detection in Full Images
    K Rajkumar, R., Shanthi, D., Manivannan
    Information Technology and Control 53 (2), 355-371 , 2024
    2024
    Citations: 8
  • Securing data in the cloud: The application of fuzzy identity biometric encryption for enhanced privacy and authentication
    C Venkatachalam, K Manivannan, S Venkatachalam
    International Conference on Image Processing and Capsule Networks, 213-224 , 2023
    2023
    Citations: 7
  • Effective segmentation and classification of brain tumor using rough K means algorithm and multi kernel SVM in MR images. J Ambient Intell Humaniz Comput 12: 6751–6760
    S Krishnakumar, K Manivannan
    2021
    Citations: 6
  • Hybridization of immune with particle swarm optimization in task scheduling on smart devices
    J Balusamy, M Karunakaran
    Distributed and Parallel Databases 40 (1), 85-107 , 2022
    2022
    Citations: 5
  • Performance based investigation of scheduling algorithm on multicore processor
    MLC Prabhaker, K Manivannan, S Janani, P Sitalakshmi
    Advances in Natural and Applied Sciences 11 (7), 507-519 , 2017
    2017
    Citations: 5