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Faculty Member Details

Staff Id : 14402
Name : Dr. S. RAJAKUMARAN
Designation : ASSISTANT PROFESSOR/PROGRAMMER
Department : COMPUTER SCIENCE & ENGG.
Qualification : B.Sc(CS).,M.C.A.,Ph.D.,
Specialization : Image Processing, Artificial Intelligence
Date of Birth : 25-07-1977
Date of Joining : 21-01-2008

Present Address Contact Number E-Mail Address
S4, POONGOTHAI BHAVANAM
SUHAM APPARTMENT
NATARAJAPURAM ROAD, ANNAMALAI NAGAR		9095773224srajakumaransubashini@gmail.com

Research Guidance
Discipline Awarded Guidance
M.Phil./M.E./M.Sc. 3-
Ph.D. 00


Conference /Seminar / Symposia / Workshop
Conference Seminar Symposia Workshop
National International
Attended 212-2
Conducted -----


Research Projects
Major Projects Minor Projects Total Amount (Rs.)
Completed ---
Ongoing ---

Teaching and Research Experience Industry Experience
16 Years -

Journals Conference Books Published Popular Article
National International National International
2 5 - - - -

List of Publications - National
Rajakumaran, S and Sasikala, J, "Tongue Color Analysis based Diseases Diagnosis Model using Local Binary Pattern with Support Vector Machine.", IJAEMA, Volume vol. 8, Number No.1, ISSN: 0886-9367, 2021, pp. 292-301. 2021.
Rajakumaran, S and Sasikala, J, "An Efficient Local Ternary Pattern based Feature Extraction with Machine Learning based Classification Model for Tongue Color Analysis.", JASC, Volume vol.8, Number No.1 ISSN:0022-19445, 2021, pp. 272-281. 2021.
List of Publications - International
Rajakumaran, S and Sasikala, J 2021, "Improvement in Tongue Color Image Analysis for Disease Identification using Deep Learning based Depthwise Separable Convolution Model.", IJCSE, Volume vol. 12, Number No.1, ISSN: 0976-5166, 2021, pp. 21-34. 2021.
Rajakumaran,S and Sasikala,J, "Tongue Color Analysis based Diseases Diagnosis Model using Local Binary Pattern with Support Vector Machine.", IJAEMA, Volume vol. XIII, Number no. 1, 2021, pp. 292-301. ISSN 0886 - 9367.
Rajakumaran,S and Sasikala,J, "An Efficient Local Ternary Pattern based Feature Extraction with Machine Learning based Classification Model for Tongue Color Analysis.", JASC, Volume Vol. VIII, Number no. 1, 2021, pp. 272-281. 0022 - 19455.
Rajakumaran, S and Sasikala, J, "An efficient machine learning based tongue color analysis for automated disease diagnosis model.", IAEME, Volume vol. 11,, Number no. 12, pp.718-734., 2020, pp. 718-734. 2020.
Rajakumaran, S and Sasikala, J 2020, "An Automated Tongue Color Image Analysis for Disease Diagnosis and Classification using Deep Learning Techniques.", EJMCM, Volume vol. 7, Number ISSN: 2515-8260, 2020, pp. 1743-1759. 2020.