Dr Vinith R

Associate Professor

I believe teaching is the art and science of lifing an individual from his/her current level to a higher plane where he/she is capable and confident of making  enduring contributions to society.... Read More

  • BTech:   MG University
  • Mtech:   Amrita Vishwa Vidyapeetham, Ettimadai, Coimbatore
  • Ph.D:     NIT Calicut

Adhoc faculty in Department of Computer Science and Engineering at NITC for three and a half years.

Areas of Specialization

  • Machine Learning
  • Image Processing
  • Medical Image Analysis

Areas of Interest

Machine Learning, Image Processing - Specifically applications of learning algorithms on image analysis problems. Another area that fascinates me is  theoretical  machine learning. I strive to improve my mathematical understanding and equip myself to grasp the works in this direction.

  • Tanuj Kumar Jhamb, Vinith Rejathalal, V K Govindan,, “A Review on Image Reconstruction through MRI
    k-Space Data,” International Journal of Image, Graphics and Signal Processing, 2014,1,1-3
  • Tanuj Kumar Jhamb, Vinith Rejathalal, V K Govindan, “Hybrid Sampling Technique for MRI Image
    Reconstruction”,International Journal of Emerging Technologies in Computational and Applied Sciences, USA,
    ISSN (Print): 2279-0047 ISSN (Online): 2279-0055.
  • Mahipal Singh Parmar, Vinith Rejathalal, V K Govindan,“Study of Computed Tomographic Image
    Reconstruction employing different Norms for Regularization”, The International Journal Research
    Publication’s, Research Journal of Science & IT Managament, Singapore, ISSN:2251 1563.
  • Vinith R, Aswani A S, V K Govindan, “Medical Image Compression Using Sparse
    Approximatio”,International Journal of Advanced Computer and Mathematical Sciences, ISSN 2230-9624,Vol
    6, Issue 2,2015,pp 30-39.
  •  Siddharth Jain, Vinith R, V K Govindan, “Image Segmentation using Sparse Subspace Clustering”,
    RJSITM: Volume: 04, Number: 08, June-2015.
  •  Unnikrishnan P, Vinith R, V K Govindan, “Classification of Text Documents using Sparse
    Representation”,Proceedings of the International Conference on Advances in Computing, Communication and
    Information Sciences, June 2014.
  •  R Vinith, K Sarthaj, A Lijiya, V K Govindan, “ A New Feature Extraction Method for Identification of
    Affected Regions and Diagnosis of Cognitive Disorders”, International Conference on Advances in Com-
    puting,communications and Informatics(ICACCI), 2016, Jaipur, India, 2016, pp. 1329-1334.