Dr. K. Sudhakar

Qualification : Ph.D. (VIT Chennai)

Course Specialization Group College Name/University Year of Passing
Ph.D. CSE CSE VIT University, Chennai 2022
M.Tech. CSE CSE Vel Tech Dr. RR &Dr. SR Technical University, Chennai. 2012
B.E. CSE CSE VRS college of Engg & Tech, Arasur. (Anna University) 2005
D.C.T D.C.T D.C.T Govt Polytechnic, Krishnagiri. 2001

 

My Publications

S.No Title of the Paper Full Details of Journal Name / Conference Name, Volume number, page number, Date
1 Facial Identification of Twins Based on Fusion Score Method Journal of Ambient Intelligence and Humanized Computing, 2021 — Springer, DOI: https://dot.org/10.1007/s12652-02l-03012-3. (SCI and Scopus Indexed, Impact Factor 7.104)
2 Identical Twin Matching Based on Multiple Feature Extractors International Journal of Internet Technology and Secured Transactions, Inderscience Publishers, 2021, DOI: https://doi.org/10.1504/IJITST.2021.10042408. (Scopus Indexed)
3 An Accurate Facial Component Detection Using Gabor Filter Bulletin of Electrical Engineering and Informatics, Vol. 6, No. 3, September 2017, pp. 287-294. (Scopus Indexed)
4 An Efficient Identical Twins Identification in Video Surveillance Area International Journal of Control Theory and Applications, Volume 9, Number 52 , pp. 117-124, 2016
5 A multi task boosting technique over sector based structure in wireless sensor network International Journal of Engineering and Technology. Volume 5, Number 4, pp. 3489-3494, September 2013. (Scopus Indexed)
6 Speech To Scenario Simulation Using Nip And Deep Learning Second International Conference on Recent Innovations in Science, Engineering and 1vtanagement (ICRISEM) 2022, 3rd and 4th June 2022
7 Analysis on Texture Feature Extraction Methods for Face Recognition in New Bonn. 2021 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT). IEEE, 2021
8 An Accurate Facial Component Detection Using Gabor Filter 2017 International Symposium on Big Data and Cloud Computing Challenges 2017, VIT University, Chennai, 9th March 2017

 

Patents

Title: Enhanced Machine Learning Approach for the Detection of IoT Cyber-Attacks in the Smart Environment
Published Date: 17.07.2020
Application No: 202031025563