Latha Parthiban

@pucc.edu.in

Professor and Head, Department of Computer Science
Pondicherry University

EDUCATION

B.E, MS, ME, PhD

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Agricultural and Biological Sciences
145

Scopus Publications

4077

Scholar Citations

31

Scholar h-index

70

Scholar i10-index

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

  • Federated Learning for Real-Time Disease Prediction: A Scalable Framework for Personalized Healthcare in Internet of Things-Enabled Environment
    K Balamurugan, TP Latchoumi, L Parthiban, A Venkateswara, ...
    Federated Learning for Healthcare, 259-276 , 2026
    2026
  • Analysis of variable-order fractional enzyme kinetics model with time delay: A. K et al.
    K Agilan, S Naveen, S Suganya, V Parthiban
    Scientific Reports 15 (1), 34255 , 2025
    2025
    Citations: 1
  • Detection and classification of medical images using deep learning for chronic kidney disease
    B Anoch, L Parthiban
    International Urology and Nephrology, 1-22 , 2025
    2025
    Citations: 3
  • The vital role of nurses in promoting oral health care
    L Parthiban Moorthy, M Rezaei, G Sasan
    Journal of Nursing Advances in Clinical Sciences 3 (1), 67-68 , 2025
    2025
    Citations: 1
  • Optimal control analysis of fractional order delayed SIQR model for COVID-19
    S Suganya, V Parthiban
    The European Physical Journal Special Topics 234 (8), 1809-1821 , 2025
    2025
    Citations: 4
  • An Empirical Study of Quantum Machine Learning for Early Glaucoma Detection Using Retinal Fundus Images
    T Mahesh, L Parthiban
    2025 12th International Conference on Emerging Trends in Engineering … , 2025
    2025
    Citations: 1
  • Comparative analysis of random forest classification over linear regression classifier to detect cyber thefts in credit card to reduce false rate
    KR Ruthvik, GCP Latha
    AIP Conference Proceedings 3300 (1), 020198 , 2025
    2025
  • Uncertainty-aware AI for enhanced chronic kidney disease diagnosis: a review of explainable and reliable models
    B Anoch, L Parthiban
    2025 International Conference on Computational Robotics, Testing and … , 2025
    2025
    Citations: 6
  • An Iterative Analysis of Deep Learning Models Including LSTM and CNN-GRU for Real-Time Seizure Prediction
    RU Sai, L Parthiban
    2025 International Conference on Machine Learning and Autonomous Systems … , 2025
    2025
  • Improved Support Vector Machine for ECG Signal Classification in Implantable Biomedical Devices
    PSSR Patchamatla, ZA Balsem, KG Parthiban, R AC
    2025 3rd International Conference on Integrated Circuits and Communication … , 2025
    2025
    Citations: 6
  • Integrating Blockchain in Healthcare to Secure Data
    L Parthiban, B Hariharan, R Parthiban
    Blockchain and IoT, 154-176 , 2025
    2025
  • Utilizing Blockchain and Interplanetary File System for Enhanced User Privacy in Secure Data Sharing
    K Balamurugan, M Azhagiri, PAH Vardhini, E Jijo, L Parthiban
    Blockchain and IoT, 42-60 , 2025
    2025
    Citations: 1
  • Optimizing Tuberculosis Detection Through DenseNet Architecture and Ensemble Learning Techniques
    J Thirunavukkarasu, R Charumathi, M Parthiban, V Pavithra, ...
    2024 International Conference on Innovative Computing, Intelligent … , 2024
    2024
    Citations: 1
  • Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer’s disease classification
    K Vaithianathan, JB Pernabas, L Parthiban, M Rashid, SS Alshamrani
    PeerJ Computer Science 10, e2502 , 2024
    2024
    Citations: 1
  • Empowering rural micro-entrepreneurs through technoficing: A process model for mobilizing and developing indigenous knowledge
    R Parthiban, R Sun, I Qureshi, S Bandyopadhyay
    The Journal of Strategic Information Systems 33 (2), 101836 , 2024
    2024
    Citations: 46
  • Automatic liver segmentation using U-Net deep learning architecture for additive manufacturing
    J Giri, T Sathish, T Sheikh, N Sunheriya, P Giri, R Chadge, C Mahatme, ...
    Interactions 245 (1), 90 , 2024
    2024
    Citations: 34
  • Integrating Blockchain and Artificial Intelligence for Industry 4.0 Innovations
    S Goundar, R Anandan
    Springer , 2024
    2024
    Citations: 9
  • A review of different techniques used for routing in wireless sensor networks
    DT Anandrao, L Parthiban
    International Journal of Advanced Intelligence Paradigms 28 (3-4), 316-326 , 2024
    2024
    Citations: 1
  • An effective content based image retrieval system using deep learning based inception model
    E Ranjith, L Parthiban, TP Latchoumi, SA Kumar, DG Perera, ...
    Wireless Personal Communications 133 (2), 811-829 , 2023
    2023
    Citations: 21
  • Kryptoverse: A Fully-Fledged Cryptocurrency Transfer Website Based on Web 3.0
    K Pazhanisamy, L Parthiban, R Kannadasan, AS Anakath, R Parthiban
    Integrating Blockchain and Artificial Intelligence for Industry 4.0 … , 2023
    2023

MOST CITED SCHOLAR PUBLICATIONS

  • Intelligent heart disease prediction system using CANFIS and genetic algorithm
    L Parthiban, R Subramanian
    International Journal of Biological, Biomedical and Medical Sciences 3 (3 … , 2008
    2008
    Citations: 356
  • Applying machine learning methods in diagnosing heart disease for diabetic patients
    G Parthiban, SK Srivatsa
    International Journal of Applied Information Systems 3 (7), 25-30 , 2012
    2012
    Citations: 253
  • Maximizing the wireless sensor networks lifetime through energy efficient connected coverage
    J Roselin, P Latha, S Benitta
    Ad Hoc Networks 62, 1-10 , 2017
    2017
    Citations: 163
  • Quasi oppositional dragonfly algorithm for load balancing in cloud computing environment
    TP Latchoumi, L Parthiban
    Wireless Personal Communications 122 (3), 2639-2656 , 2022
    2022
    Citations: 155
  • Diagnosis of heart disease for diabetic patients using naive bayes method
    G Parthiban, A Rajesh, SK Srivatsa
    International Journal of Computer Applications 24 (3), 7-11 , 2011
    2011
    Citations: 130
  • Face recognition using neural networks
    P Latha, L Ganesan, S Annadurai
    Signal Processing: An International Journal (SPIJ) 3 (5), 153-160 , 2009
    2009
    Citations: 123
  • Applying machine learning techniques for predicting the risk of chronic kidney disease
    KRA Padmanaban, G Parthiban
    Indian Journal of Science and Technology 9 (29), 1-6 , 2016
    2016
    Citations: 120
  • Phenotyping crop plants for physiological and biochemical traits
    P Sudhakar, P Latha, PV Reddy
    Academic Press , 2016
    2016
    Citations: 110
  • A review on cleaner strategies for extraction of chitosan and its application in toxic pollutant removal
    M Abhinaya, R Parthiban, PS Kumar, DVN Vo
    Environmental research 196, 110996 , 2021
    2021
    Citations: 108
  • Predicting individual learning performance using machine‐learning hybridized with the teaching‐learning‐based optimization
    M Arashpour, EM Golafshani, R Parthiban, J Lamborn, A Kashani, H Li, ...
    Computer Applications in Engineering Education 31 (1), 83-99 , 2023
    2023
    Citations: 102
  • Digitally mediated value creation for non-commodity base of the pyramid producers
    R Parthiban, I Qureshi, S Bandyopadhyay, S Jaikumar
    International Journal of Information Management 56, 102256 , 2021
    2021
    Citations: 97
  • A novel texture extraction technique with T1 weighted MRI for the classification of Alzheimer’s disease
    K Vaithinathan, L Parthiban, Alzheimer's Disease Neuroimaging Initiative
    Journal of neuroscience methods 318, 84-99 , 2019
    2019
    Citations: 94
  • A multi criteria decision making approach for suppliers selection
    P Parthiban, HA Zubar, CP Garge
    Procedia Engineering 38, 2312-2328 , 2012
    2012
    Citations: 90
  • The effect of cybercrime on a Bank’s finances
    AR Raghavan, L Parthiban
    International Journal of Current Research & Academic Review 2 (2), 173-178 , 2014
    2014
    Citations: 89
  • Classification of diseased plant leaves using neural network algorithms
    K Muthukannan, P Latha, RP Selvi, P Nisha
    ARPN Journal of Engineering and Applied Sciences 10 (4), 1913-1919 , 2015
    2015
    Citations: 88
  • Hyperledger blockchain enabled secure medical record management with deep learning-based diagnosis model
    N Sammeta, L Parthiban
    Complex & Intelligent Systems 8 (1), 625-640 , 2022
    2022
    Citations: 85
  • A neural network approach for traffic prediction and routing with missing data imputation for intelligent transportation system
    RKC Chan, JMY Lim, R Parthiban
    Expert Systems with Applications 171, 114573 , 2021
    2021
    Citations: 78
  • Analyzing the security mechanisms to prevent unauthorized access in cloud and network security
    K Maithili, V Vinothkumar, P Latha
    Journal of Computational and Theoretical Nanoscience 15 (6-7), 2059-2063 , 2018
    2018
    Citations: 76
  • Abnormality detection using weighed particle swarm optimization and smooth support vector machine
    TP Latchoumi, L Parthiban
    Biomedical Research 28 (11), 4749-4751 , 2017
    2017
    Citations: 73
  • Trusted framework for online banking in public cloud using multi-factor authentication and privacy protection gateway
    S Nagaraju, L Parthiban
    Journal of Cloud Computing 4 (1), 22 , 2015
    2015
    Citations: 71