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Assistant Professor Dr Heshalini A/P Rajagopal @ Ramasamy

Assistant Professor

Academic Qualifications

PhD                                                         
MENGSC               
BE (Electrical)
Diploma in Electronics Engineering

Areas of Interest
Artificial Intelligence
Image Processing
Microntrollers
Publications

  1. Khan, H. M., Mokhtar, N., Rajagopal, H., Khairuddin, A. S. M., Mahiyidin, W. A. B. W. M., Shah, N. M., & Paramesran, R. (2021). Tuning Suitable Features Selection using Mixed Waste Classification Accuracy. Journal of Robotics, Networking and Artificial Life.
  2. Kumar, Anirban, and Heshalini Rajagopal. "Automated Seeding and Irrigation System using Arduino." Journal of Robotics, Networking and Artificial Life (2021).
  3. Rajagopal, H., A.S.M., Mokhtar*, N. et al. A No-Reference Image Quality Assessment Metric for Wood Images. Journal of Robotics, Networking and Artificial Life (JRNAL) Vol 8, Issue 2, 2021.
  4. Rajagopal, H*., Anirban Kumar. Design and Development of Automated Seeding and Irrigation System. The 2021 International Conference on Artificial Life and Robotics, 21st –24th Jan 2021.
  5. Rajagopal, H*., A.S.M., Mokhtar, N. et al. Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images. 2021 International Conference on Artificial Life and Robotics, 21st – 24th Jan 2021.
  6. Heshalini Rajagopal, Norrima Mokhtar*, TFTMN, Izam WKWA. No-reference quality assessment for image- based assessment of economically important tropical woods. PLoS One. 2020:1-15. doi:10.1371/journal.pone.0233320
  7. Rajagopal, H., Khairuddin, A.S.M.*, Mokhtar, N. et al. Application of image quality assessment module to motion-blurred wood images for wood species identification system. Wood Sci Technol (2019).
  8. Chow LS*, Rajagopal H, Paramesran R,. Correlation between Subjective and Objective Assessment of Magnetic Resonance (MR) Images. Magn.Reson.Imaging J.2016.34(6):820-831.
  9. Rajagopal, H., Chow, L. S., & Paramesran, R. (2015, October). Subjective versus objective assessment for magnetic resonance images. In Proc. 17th Int. Conf. Commun. Inf. Technol. Eng (Vol. 9, No. 12, pp. 2426-2431).
  10. Chow, L. S., & Rajagopal, H. (2017). Modified-BRISQUE as no reference image quality assessment for structural MR images. Magnetic resonance imaging, 43, 74-87.

Conferences

  1. Title: The 2021 International Conference on Artificial Life and Robotics
    Name of Organizer: ALife Robotics Corporation Ltd. & Robot Artificial Life Society
    Date: January 2021
  2. Title: International Journal of Computer, Electrical, Automation, Control and Information Engineering Vol:9, No:12, 2015
    Name of Organizer: World Academy of Science, Engineering and Technology
    Date: December 2015