R.Gayathri

@svce.ac.in

Professor
Sri Venkateswara College of Engineering

received her PhD degree in Information and Communication
Engineering from Anna University, College of Engineering Guindy, Chennai. She has
teaching and research experience of over 23 years in Electronics and Communication
Engineering. She loves to learn and teach cutting-edge techniques in Signal Processing
related subjects. As a part of her PhD, she worked on “Performance Analysis on Multimodal
Biometric System-based Authentication”. Her research includes Computer Vision, Pattern
Recognition, VLSI Signal Processing, Remote Sensing and Machine Learning for video

analytics with a focus on human tracking, multi-resolution video processing, biologically-
inspired spatial-temporal filtering, hyperspectral image processing, Natural language

processing, etc.,
She is a recognized supervisor at Anna University and currently guiding nine research
scholars (PhD) at Anna University, Chennai. She has received and successfully completed the
ISRO respond-funded project titled “Design

RESEARCH, TEACHING, or OTHER INTERESTS

Artificial Intelligence, Engineering, Signal Processing, Human-Computer Interaction
10

Scopus Publications

634

Scholar Citations

12

Scholar h-index

15

Scholar i10-index

Scopus Publications

  • Energy-Efficient Street Lighting System Using Piezoelectric Harvesting and Motion-Activated Dimming
    R. Gayathri, R. Sathesh Raaj, Sasikala N, C. Bennila Thangammal
    2025 5th Asian Conference on Innovation in Technology Asiancon 2025, 2025
  • Engineering for All: Empowering Students with Visual and Hearing Impairments through Inclusive Learning
    R. Gayathri, Sherwin Jayanth Roy, Shivakumaran SR, Shyam Sundar S
    Proceedings 3rd International Conference on Artificial Intelligence and Machine Learning Applications Healthcare and Internet of Things Aimla 2025, 2025
  • AI-Enhanced Farming: A Real-Time Monitoring App powered by IoT
    R. Gayathri, R. Sathesh Raaj, M. Balaanand, J. Arun Kumar, N Sasikala, et al.
    Proceedings of the 5th International Conference on Smart Electronics and Communication Icosec 2024, 2024
  • Future perspectives on new innovative technologies comparison against hybrid renewable energy systems
    Nithiyananthan Kannan, Kamal Upreti, Rahul Pradhan, Mallika Dhingra, S. Kalimuthukumar, et al.
    Computers and Electrical Engineering, 2023
  • Feature recognition of student using heuristic political effective evaluation reinforcement learning algorithm
    Rui Wu, Zeye Huang, Zongming Zhou, R. Gayathri, R. Premalatha
    Progress in Artificial Intelligence, 2023
  • A State of the Art Technology with Machine Intelligence in Human Emotion Recognition
    Xiyan Bi, Liguo Chen, R. Gayathri, Renjith V. Ravi
    Journal of Interconnection Networks, 2022
    Emotion plays a significant role in human understanding and generally connected with rational decision making, attitudes, human activity, and human intelligence. To create realistic emotional relations between human beings and machines, the research community’s increasing interests need reliable and deployable solutions to recognize human emotional conditions. Automatic emotion detection is one of the main obstacles in providing innovative methods for more comfortable and more objective diagnosis, communication and analysis. Hence in this paper, an Artificial intelligence-assisted emotion prediction model (AIEPM) has been proposed to evaluate the probability of digital representation, identification and estimation of feelings, their state-of-the-art methods and primary research guidance. The proposed AIEPM analyses the effect on multimodal detection of emotional models. This paper presents emerging works based on language, sound, image, film, and physiological signals using current methods such as machine intelligence for recognizing human emotion. The proposed emphasis on this cutting-edge analysis reflects elements like the form and presentation of emotional stimulation, the sample’s scale. The numerical outcome suggested AIEPM, according to age, behaviour classification according to age (95.2%), emotions state recognition high probability in satisfaction compared to the proposed method, accuracy ratio (89.6%), performance ratio (94.5%) and recognition outcomes of existing and proposed work (98.2%) compared to other existing approaches improve behaviour classification.
  • Prefix Tree Based MapReduce Approach for Mining Frequent Subgraphs
    Supriya Movva, Saketh Prata, Sai Sampath, R. G. Gayathri
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2019
  • Eshopping Scam Identification using Machine Learning
    K. Anupriya, R. Gayathri, M. Balaanand, C.B. Sivaparthipan
    Icsns 2018 Proceedings of IEEE International Conference on Soft Computing and Network Security, 2018
  • Internet of things based smart health monitoring of industrial standard motors
    Gayathri R., Shriram K Vasudevan
    Indonesian Journal of Electrical Engineering and Informatics, 2018
  • BAU FAM: Biometric-blacklisting anonymous users using fictitious and adroit manager
    Journal of Advanced Research in Dynamical and Control Systems, 2017

RECENT SCHOLAR PUBLICATIONS

  • Engineering bandgaps and charge dynamics: CNT-spinned LiZn 0.5 Al 2 O 4 spinel nanoarchitectures for high-efficiency dye-sensitized solar cells
    S Nandhini, R Gayathri
    Journal of Materials Science: Materials in Electronics 37 (14), 1117 , 2026
    2026
  • Voting-based algorithm for governance in healthcare blockchain networks
    Buvana, Gayathri, Rajalakshmi
    AIP Conference Proceedings 3341 (1), 020012 , 2026
    2026
  • Effective adaptive res-BiGRU network for pest classification performance based on regionViT-yolov8-aided pest detection technique
    SM Mehzabeen, R Gayathri
    Big Data Research 42, 100571 , 2025
    2025
  • Object detection and classification using computer vision and deep learning on edge devices
    S Mary Joans, JS Jasmine, N Gomathi, R Gayathri
    International Journal of System Assurance Engineering and Management, 1-13 , 2025
    2025
  • Remote Sensing Image Scene Classification Using Level-Based Attention of Inter-Intra Convolutional Features with Label Smoothing Regularization
    G Akila, R Gayathri
    Journal of the Indian Society of Remote Sensing, 1-16 , 2025
    2025
  • Blockchain-driven privacy-preservation of healthcare insurance data using improved ECC based encryption and deep learning based key tuning
    J Buvana, R Gayathri
    Knowledge-Based Systems, 114078 , 2025
    2025
    Citations: 4
  • Enhancing Hepatitis C Diagnosis: The Impact of SMOTE, Optuna, and SHAP on Detection Methods
    Mehzabeen SM, Gayathri R, Pattunnarajam P, Ramya A
    Iranian Journal of Electrical and Electronic Engineering 21 (4), 1-16 , 2025
    2025
    Citations: 1
  • Enhancing Hepatitis C Diagnosis: The Impact of SMOTE, Optuna, and SHAP on Detection Methods
    SM Mehzabeen, R Gayathri, P Paramasaivam, A Ramya
    IRANIAN JOURNAL OF ELECTRICAL AND ELECTRONIC ENGINEERING 21 (4), 3418-3418 , 2025
    2025
  • Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network
    SM Mehzabeen, R Gayathri
    Biomedical Signal Processing and Control 99, 106875 , 2025
    2025
    Citations: 9
  • Utilizing Blockchain Technology for Health Insurance in Healthcare Sector
    J Buvana, R Gayathri
    2024 IEEE International Conference on Smart Power Control and Renewable … , 2024
    2024
    Citations: 2
  • An enhanced ensemble machine learning classification method to detect attention deficit hyperactivity for various artificial intelligence and telecommunication applications …
    M Sheriff, R Gayathri
    COMPUTATIONAL INTELLIGENCE , 2024
    2024
  • Epilepsy Disease Detection Using the Proposed CNN-FCM Approach
    R Srinath, R Gayathri, C Shalini, P Maragathavalli
    International Conference on Innovations in Data Analytics, 371-380 , 2023
    2023
    Citations: 2
  • Detection and Classification of Alzheimer’s disease from cognitive impairment with resting-state fMRI
    PR Buvaneswari, R Gayathri
    Neural Computing and Applications 35 (31), 22797-22812 , 2023
    2023
    Citations: 32
  • Enhanced Feature Fusion from Dual Attention Paths Using Feature Gating Mechanism for Scene Categorization of Aerial Images
    G Akila, R Gayathri
    International Conference on Image Processing and Capsule Networks, 563-579 , 2023
    2023
  • Weighted multi-deep feature extraction for hybrid deep convolutional LSTM-based remote sensing image scene classification model
    G Akila, R Gayathri
    Geocarto International 37 (27), 18217-18253 , 2022
    2022
    Citations: 8
  • SRAM memory built in self-test using march algorithm
    J Kruthika, GR Nisha, R Gayathri, V Jeyalakshmi
    2022 International Conference on Augmented Intelligence and Sustainable … , 2022
    2022
    Citations: 7
  • Optimized convolutional neural network for tamil handwritten character recognition
    RB Lincy, R Gayathri
    International Journal of Pattern Recognition and Artificial Intelligence 36 … , 2022
    2022
    Citations: 10
  • Epilepsy disorder detection and diagnosis using empirical mode decomposition and deep learning architecture
    R Srinath, R Gayathri
    Concurrency and Computation: Practice and Experience 34 (11), e6903 , 2022
    2022
    Citations: 7
  • Transfer learning based handwritten character recognition of tamil script using inception-V3 Model
    R Gayathri, R Babitha Lincy
    Journal of Intelligent & Fuzzy Systems 42 (6), 6091-6102 , 2022
    2022
    Citations: 12
  • Robust Spatial–Spectral Squeeze–Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification
    M kavitha, R Gayathri, DK Venkatesan, M Arif, D Vicoveanu, I Chiuchisan, ...
    Sensors 22 (9), 3229 , 2022
    2022
    Citations: 11

MOST CITED SCHOLAR PUBLICATIONS

  • Deep learning-based segmentation in classification of Alzheimer’s disease
    PR Buvaneswari, R Gayathri
    Arabian Journal for Science and Engineering 46 (6), 5373-5383 , 2021
    2021
    Citations: 109
  • Optimally configured convolutional neural network for Tamil Handwritten Character Recognition by improved lion optimization model
    R BabithaLincy, R Gayathri
    Multimedia Tools and Applications, 1-27 , 2020
    2020
    Citations: 60
  • Performance evaluation of deep e-CNN with integrated spatial-spectral features in hyperspectral image classification
    M Kavitha, R Gayathri, K Polat, A Alhudhaif, F Alenezi
    Measurement 191, 110760 , 2022
    2022
    Citations: 55
  • Feature level fusion of palmprint and iris
    R Gayathri, P Ramamoorthy
    International Journal of Computer Science Issues (IJCSI) 9 (4), 194 , 2012
    2012
    Citations: 51
  • Detection and classification of electroencephalogram signals for epilepsy disease using machine learning methods
    R Srinath, R Gayathri
    International Journal of Imaging Systems and Technology , 2020
    2020
    Citations: 39
  • Detection and Classification of Alzheimer’s disease from cognitive impairment with resting-state fMRI
    PR Buvaneswari, R Gayathri
    Neural Computing and Applications 35 (31), 22797-22812 , 2023
    2023
    Citations: 32
  • Automatic palmprint identification based on high order Zernike moment
    R Gayathri, P Ramamoorthy
    American Journal of Applied Sciences 9 (5), 759 , 2012
    2012
    Citations: 26
  • Fingerprint and palmprint Recognition Approach based on Multiple Feature extraction
    R Gayathri, P Ramamoorthy
    European Journal of scientific research 76 (4) , 2012
    2012
    Citations: 26
  • Palmprint recognition using feature level fusion
    R Gayathri, P Ramamoorthy
    Journal of Computer Science 8 (7), 1049 , 2012
    2012
    Citations: 20
  • Multifeature palmprint recognition using feature level fusion
    R Gayathri, P Ramamoorthy
    International Journal of Engineering Research and Application 2 (2), 1048-1054 , 2012
    2012
    Citations: 20
  • Performance Evaluation of Multimodal Multifeature Authentication System Using KNN Classification
    R Gayathri, P Ramamoorthy
    The Scientific World Journal 2015 , 2015
    2015
    Citations: 13
  • Transfer learning based handwritten character recognition of tamil script using inception-V3 Model
    R Gayathri, R Babitha Lincy
    Journal of Intelligent & Fuzzy Systems 42 (6), 6091-6102 , 2022
    2022
    Citations: 12
  • Onboard target detection in hyperspectral image based on deep learning with FPGA implementation
    R Gayathri
    Microprocessors and Microsystems 85, 104313 , 2021
    2021
    Citations: 12
  • Robust Spatial–Spectral Squeeze–Excitation AdaBound Dense Network (SE-AB-Densenet) for Hyperspectral Image Classification
    M kavitha, R Gayathri, DK Venkatesan, M Arif, D Vicoveanu, I Chiuchisan, ...
    Sensors 22 (9), 3229 , 2022
    2022
    Citations: 11
  • Optimized convolutional neural network for tamil handwritten character recognition
    RB Lincy, R Gayathri
    International Journal of Pattern Recognition and Artificial Intelligence 36 … , 2022
    2022
    Citations: 10
  • Heuristically Improvised rice disease classification framework based on adaptive segmentation with the fusion of LSTM layer into Multi-Scale Residual attention Network
    SM Mehzabeen, R Gayathri
    Biomedical Signal Processing and Control 99, 106875 , 2025
    2025
    Citations: 9
  • Off-Line Tamil handwritten character recognition based on convolutional neural network with VGG16 and VGG19 model
    RB Lincy, R Gayathri
    International Conference on Automation, signal processing, instrumentation … , 2020
    2020
    Citations: 9
  • Personal authentication using multifeatures multispectral palm print traits
    R Gayathri, M Senthil Kumar
    The Scientific World Journal 2015 , 2015
    2015
    Citations: 9
  • Feature fusion of palmprint and face biometrics
    R Gayathri, P Ramamoorthy
    European Journal of Scientific Research 77 (4), 457-470 , 2012
    2012
    Citations: 9
  • Weighted multi-deep feature extraction for hybrid deep convolutional LSTM-based remote sensing image scene classification model
    G Akila, R Gayathri
    Geocarto International 37 (27), 18217-18253 , 2022
    2022
    Citations: 8