Gumastha Seshikala

@reva.edu.in

Professor School Of Electronics and Communication Engineering
Dr. G.Seshikala

Gumastha Seshikala


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https://researchid.co/seshikala

RESEARCH INTERESTS

Bio medical Signal Processing, Image Processing, Communication engineering
2

Scopus Publications

434

Scholar Citations

12

Scholar h-index

14

Scholar i10-index

Scopus Publications

  • Use of CeO2 nanoparticles to enhance UV-shielding of transparent regenerated cellulose films
    Wei Wang, Baikai Zhang, Shuai Jiang, Huiyu Bai, Shengwen Zhang
    Polymers, 2019
    The major challenge in preparing polymer nanocomposites is to prevent the agglomeration of inorganic nanoparticles (NPs). Here, with regenerated cellulose (RC) films as supporting medium, UV-shielding and transparent nanocomposite films with hydrophobicity were fabricated by in situ synthesis of CeO2 NPs. Facilitated through the interaction between organic and inorganic components revealed by X-ray diffraction (XRD) and Fourier transformation infrared spectroscopy (FTIR) characterization, it was found that CeO2 NPs were uniformly dispersed in and immobilized by a cellulose matrix. However some agglomeration of CeO2 NPs occurred at higher precursor concentrations. These results suggest that the morphology and particle size of CeO2 and the corresponding performance of the resulting films are affected by the porous RC films and the concentrations of Ce(NO3)3·6H2O solutions. The optimized nanocomposite film containing 2.95 wt% CeO2 NPs had more than 75% light transmittance (550 nm), high UV shielding properties, and a certain hydrophobicity.
  • Preparation of rice husk based carboxymethyl cellulose and its membrane performance
    Journal of Chinese Institute of Food Science and Technology, 2015

RECENT SCHOLAR PUBLICATIONS

  • Design and simulation of a microfluidic integrated photonic waveguide microring sensor
    CH Sowmya, G Seshikala
    Optik 344, 172596 , 2026
    2026
  • Efficient ECG Arrhythmia Detection on FPGA using Machine Learning and Fiducial Windowing
    KP Nandini, G Seshikala
    Engineering, Technology & Applied Science Research 15 (2), 21100-21105 , 2025
    2025
    Citations: 12
  • A survey on Machine Learning Methods used for Classification of Cardiovascular disease using ECG and Image Processing Techniques
    MS Upamanyu, K Chakki, VP Kulkarni, G Seshikala
    2024 International Conference on Electronics, Computing, Communication and … , 2024
    2024
    Citations: 5
  • Smart IoT Solutions for Precise COVID-19 Lung and Heart Disease Identification via Bayesian Neural Networks and Hybrid Optimization
    KP Nandini, G Seshikala
    SN Computer Science 5 (5), 510 , 2024
    2024
    Citations: 4
  • Link Aware Multipath Routing to Defend Against Black Hole Attacks for MANETs
    R Ramesh, G Seshikala
    2023 3rd International Conference on Intelligent Technologies (CONIT), 1-6 , 2023
    2023
    Citations: 3
  • An Overview of Subjective and Objective Assessment of Stuttering.
    K HR, G Seshikala
    Grenze International Journal of Engineering & Technology (GIJET) 8 (2) , 2022
    2022
  • Role of Embedded Computing Systems in Biomedical Applications–Opportunities and Challenges
    . K. P. Nandini and G. Seshikala
    2021 IEEE International Conference on Distributed Computing, VLSI … , 2022
    2022
    Citations: 11
  • Forest Fire Detection and Prediction Using IOT
    GA G Hemanth, M Balaji, G Seshikala, D Samarasimha Reddy
    International Journal of Contemporary Architecture 8 (ISSN 2198-7688), 270-275 , 2021
    2021
  • Kidney Stone Detection using Image Enhancement Techniques
    A Sudharshan Rao,Ankith Jason Manohar, Seshikala,Sujay
    International Journal of Contemporary Architecture 8 (ISSN 2198-7688), 261-269 , 2021
    2021
  • Performance Analysis of Various Multipliers Using 8T-full Adder with 180nm Technology
    SV Prasada GS, G Seshikala, S Niranjana
    Recent Advances in Electrical & Electronic Engineering (Formerly Recent … , 2020
    2020
    Citations: 1
  • Neuro-Fuzzy Inference Approach for Detecting Stages of Lung Cancer
    C Rangaswamy, GT Raju, G Seshikala
    International Conference On Computational Vision and Bio Inspired Computing … , 2019
    2019
  • Character recognition of Tulu script using convolutional neural network
    S Bhat, G Seshikala
    International Conference on Artificial Intelligence and Data Engineering … , 2019
    2019
    Citations: 6
  • Lung Cancer detection using Digital Image processing and Artificial Neural Networks
    DGS Vaibhavi. S, Sowmya. S, Spoorthy R Suresh, Sunithkumar. V
    International Journal of Scientific Research and Review 1 (978-93-87793-79-8) , 2019
    2019
  • Restoration of characters in degraded inscriptions using phase based binarization and geodesic morphology
    S Bhat, G Seshikala
    Int. J. Recent Technol. Eng 7 (6), 1070-1075 , 2019
    2019
    Citations: 6
  • Text Extraction and a Deep CNN Based Model for Character Classification in Kannada Documents
    S Bhat, G Seshikala
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
    Citations: 1
  • Research on IEEE 754 standard single precision floating point multipliers designed using urdhva triyagbhyam sutra of vedic mathematics
    GS Sai Venkatramana Prasada, G Seshikala, S Niranjana
    International Journal of Recent Technology and Engineering 8 (2 Special … , 2019
    2019
    Citations: 3
  • Design of high speed 32-bit floating point multiplier using urdhva triyagbhyam sutra of vedic mathematics
    GS Sai Venkatramana Prasada, G Seshikala, S Niranjana
    International Journal of Recent Technology and Engineering 8 (2 Special … , 2019
    2019
    Citations: 12
  • Inscription Manuscripts and its Performance Evaluation Methods
    S Bhat, G Seshikala
    2018 International Conference on Circuits and Systems in Digital Enterprise … , 2018
    2018
    Citations: 2
  • Feature Extraction from Segmented Lung Images and Feature Selection Through Soft Set Based Approach
    C Rangaswamy, GT Raju, G Seshikala
    Journal of Computational and Theoretical Nanoscience 15 (11-12), 3248-3253 , 2018
    2018
    Citations: 1
  • Performance Analysis of 64× 64 bit Multiplier Designed Using Urdhva Tiryakbyham and Nikhilam Navatashcaramam Dashatah Sutras
    GSSV Prasada, G Seshikala, N Sampathila
    2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics … , 2018
    2018
    Citations: 5

MOST CITED SCHOLAR PUBLICATIONS

  • Diagnosis of multiclass tachycardia beats using recurrence quantification analysis and ensemble classifiers
    U Desai, RJ Martis, UR Acharya, CG Nayak, G Seshikala, R SHETTY K
    Journal of Mechanics in Medicine and Biology 16 (01), 1640005 , 2016
    2016
    Citations: 87
  • Machine intelligent diagnosis of ECG for arrhythmia classification using DWT, ICA and SVM techniques
    U Desai, RJ Martis, CG Nayak, G Seshikala
    2015 Annual IEEE India Conference (INDICON), 1-4 , 2015
    2015
    Citations: 86
  • Decision support system for arrhythmia beats using ECG signals with DCT, DWT and EMD methods: a comparative study
    U Desai, RJ Martis, C Gurudas Nayak, G Seshikala, K Sarika, ...
    Journal of Mechanics in Medicine and Biology 16 (01), 1640012 , 2016
    2016
    Citations: 48
  • Application of ensemble classifiers in accurate diagnosis of myocardial ischemia conditions
    U Desai, CG Nayak, G Seshikala
    Progress in Artificial Intelligence 6 (3), 245-253 , 2017
    2017
    Citations: 28
  • Automated diagnosis of coronary artery disease using pattern recognition approach
    U Desai, CG Nayak, G Seshikala, RJ Martis
    2017 39th Annual International Conference of the IEEE Engineering in … , 2017
    2017
    Citations: 17
  • Automated diagnosis of tachycardia beats
    U Desai, CG Nayak, G Seshikala, RJ Martis, SL Fernandes
    Smart Computing and Informatics: Proceedings of the First International … , 2017
    2017
    Citations: 16
  • An application of EMD technique in detection of tachycardia beats
    U Desai, CG Nayak, G Seshikala
    2016 International conference on communication and signal processing (ICCSP … , 2016
    2016
    Citations: 16
  • An efficient technique for automated diagnosis of cardiac rhythms using electrocardiogram
    U Desai, CG Nayak, G Seshikala
    2016 IEEE International Conference on Recent Trends in Electronics … , 2016
    2016
    Citations: 15
  • Identification of arrhythmia classes using machine-learning techniques
    CG Nayak, G Seshikala, U Desai, SG Nayak
    International Journal of Biology and Biomedicine 1, 48-53 , 2016
    2016
    Citations: 13
  • Efficient ECG Arrhythmia Detection on FPGA using Machine Learning and Fiducial Windowing
    KP Nandini, G Seshikala
    Engineering, Technology & Applied Science Research 15 (2), 21100-21105 , 2025
    2025
    Citations: 12
  • Design of high speed 32-bit floating point multiplier using urdhva triyagbhyam sutra of vedic mathematics
    GS Sai Venkatramana Prasada, G Seshikala, S Niranjana
    International Journal of Recent Technology and Engineering 8 (2 Special … , 2019
    2019
    Citations: 12
  • Palm print feature extraction using multi scale wavelet edge detection method
    G Seshikala, DU Kulkarni, MN Giriprasad
    International Journal of Advanced Research in Electrical, Electronics and … , 2012
    2012
    Citations: 12
  • Role of Embedded Computing Systems in Biomedical Applications–Opportunities and Challenges
    . K. P. Nandini and G. Seshikala
    2021 IEEE International Conference on Distributed Computing, VLSI … , 2022
    2022
    Citations: 11
  • Preprocessing and binarization of Inscription images using phase based features
    S Bhat, G Seshikala
    2018 Second International Conference on Advances in Electronics, Computers … , 2018
    2018
    Citations: 11
  • Character recognition of Tulu script using convolutional neural network
    S Bhat, G Seshikala
    International Conference on Artificial Intelligence and Data Engineering … , 2019
    2019
    Citations: 6
  • Restoration of characters in degraded inscriptions using phase based binarization and geodesic morphology
    S Bhat, G Seshikala
    Int. J. Recent Technol. Eng 7 (6), 1070-1075 , 2019
    2019
    Citations: 6
  • A survey on Machine Learning Methods used for Classification of Cardiovascular disease using ECG and Image Processing Techniques
    MS Upamanyu, K Chakki, VP Kulkarni, G Seshikala
    2024 International Conference on Electronics, Computing, Communication and … , 2024
    2024
    Citations: 5
  • Performance Analysis of 64× 64 bit Multiplier Designed Using Urdhva Tiryakbyham and Nikhilam Navatashcaramam Dashatah Sutras
    GSSV Prasada, G Seshikala, N Sampathila
    2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics … , 2018
    2018
    Citations: 5
  • Novel approach for lung image segmentation through enhanced fuzzy C-means algorithm
    C Rangaswamy, GT Raju, G Seshikala
    International Journal of Pure and Applied Mathematics 117 (21), 455-465 , 2017
    2017
    Citations: 5
  • Biometric parameters & palm print recognition
    G Seshikala, U Kulkarni, MN Giriprasad
    International Journal of Computer Applications 46 (21), 31-34 , 2012
    2012
    Citations: 5