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Gopalakrishnan C View All

Assistant Professor

School of Technology

Dr. Gopalakrishnan holds a B.Tech in Information Technology from Kingston Engineering College, Vellore, and a postgraduate degree, M.Tech in Information Technology (Networking), from VIT University. He also earned his Ph.D. from VIT University, Vellore.

With over 2 years of teaching experience at GGR College of Engineering, Vellore, he has authored a book on Object-Oriented Software Engineering, published by Charulatha Publications for engineering students, and has organized a Faculty Development Program. His research contributions include seven publications in international and national journals, as well as one patent.

    • Graduation In :

      B. Tech

    • Graduation From :

      Kingston Engineering College, Vellore

    • Graduation Year :

      2012

    • Post Graduation In :

      M. Tech

    • Post Graduation From :

      Vellore Institute of Technology, Vellore Campus

    • Post Graduation Year :

      2015

    • Doctorate In :

      Ph.D

    • Doctorate From :

      Vellore Institute of Technology, Vellore Campus

    • Doctorate Year :

      2023

    • 2 Years

  • Publications in Journals

    • Ganesh Gopal Devarajan, Kumaran U, Gopalakrishnan Chandran, Rajendra prasad Mahapatra, Ahmed Alkhayyat, “Next Generation Imaging Methodology: An Intelligent Transportation System for Consumer Industry”, “IEEE Transactions on Consumer Electronics”, 2024. Impact Factor: 5.68. [SCI and Scopus Indexed]
      DOI: 10.1109/TCE.2024.3372906
    • Gopalakrishnan. C, Iyapparaja. M, “ITL-CNN: Integrated Transfer Learning based Convolution Neural Network for Ultrasound PCOS Image Classification”, “International Journal of Pattern Recognition and Artificial Intelligence” 2022. Impact Factor: 1.26 [SCI and Scopus Indexed] DOI: https://doi.org/10.1142/S021800142240002X
    • Gopalakrishnan. C, Iyapparaja. M, “Multilevel thresholding based follicle detection and classification of polycystic ovary syndrome from the ultrasound images using machine learning”. “International Journal of System Assurance Engineering and Management”, 2021. DOI: https://doi.org/10.1007/s13198-021-01203-x
    • Gopalakrishnan. C, Iyapparaja. M, “Active contour with modified Otsu method for automatic detection of polycystic ovary syndrome from ultrasound image of ovary”. Multimedia Tools Application, 2020, Springer TR Impact Factor: 2.18 [SCI and Scopus Indexed]
      DOI: https://doi.org/10.1007/s11042-019-07762-3
    • Gopalakrishnan. C, Iyapparaja. M, “A Detailed Research on Detection of Polycystic Ovary Syndrome from Ultrasound Images of Ovaries” , 2019, “International Journal of Recent Technology and Engineering (IJRTE)“ DOI:10.35940/ijrte.B1072.0982S1119, Inderscience Publishers

    Publications in Conferences

    • Gopalakrishnan. C, Iyapparaja Meenakshisundaram, ”Detection of Polycystic Ovary Syndrome from Ultrasound Images Using SIFT Descriptors”, “Bonfring International Journal of Software Engineering and Soft Computing” , 2019, Impact Factor: 0.375, DOI: 10.9756/BIJSESC.9017 [Conference Paper]
    • Gopalakrishnan. C, Iyapparaja Meenakshisundaram ,“Tagging in IoT Category based Applications Using Vitality Proficient Geospatial Technique”, “Bonfring International Journal of Networking Technologies and Applications”, 2018, DOI: 10.9756/BIJNTA.8373 [Conference Paper]

  • Patents

    • BIOMETRIC AUTHENTICATION DEVICE in the name of 1.Dr. B. Prakash 2. Dr. A. Latha 3. Dr. A. Bhuvaneswari 4. Dr. Gopalakrishnan Chandran and its design number is Design No.: 413012-001