MLE Faculty Latha K

MLE Faculty Profile

Latha K

Assistant Professor

Name of the faculty: Latha K

Designation: Assistant Professor

Qualifications: B.E, M.Tech, (Ph.D)

Area of specialization: Electronics and Communication, Digital Electronics

Email id: lathak@ssit.edu.in, lathaprasanna.k@gmail.com

Contact no.: 9482419791

Experience in years: 10

Membership in professional bodies: MISTE

Papers published in Journals:

  • Prof. Latha has published a paper on “An ensemble approach for ECG and Lip features based Biometric Authentication by using Grey-Wolf optimization inthe international journal of Indonesian Journal of Electrical Engineering and Computer Science, a Scopus indexed journal.
  • Prof. Latha K has presented the paper in Spinger conference titled LE-Net: A deep learning based multimodal biometric authentication system by using LIP and ECG data” (paper ID: 166) in the International Multi-Conference on Advances in Information Technology, communication, and energy systems (AITCES 2024) organized by Dr. AIT, Bangalore, held on 24th January 2024.
  • Latha.K & Jyothi M.S” Feedback Shift Register Based Cryptographic System using LBIST    Method.” International journal of Engineering Trends and Technology(IJETT) – Volume 23 Number 4 May 2015 ISSN : 2231- 5381.
  • Latha. K “ Synthesis and Evaluation of Allocation Algorithms on FPGA platforms” International Journal of innovative research in science, Engineering and Technology,Volume 5 Issue 5, May 2016.ISSN: 2347- 6710.
  • Latha K and A S Raju”ECG Biometric Authentication :A Comprehensive Survey”SSAHE Journal of Interdisciplinary Research(JIR)2021

Papers published in National conference:

  • PSOC based ECG machine with Bluetooth interface, First national conference on image processing, Pattern recognition and computer vision .PES College of Engineering Mandya held during 24th– 25th August 2009.
  • Adaptive Image Denoising IP- core based on FPGA, National conference on advanced innovation in engineering and Technology ,Alva’s institute of engineering and technology, Moodbidri  April 2015.
  • Adaptive Image Denoising IP core based on FPGA for real time applications ,2nd national conference on Emerging Trends in Electronics and Communication, BGSIT  May 2015.