Faculty Profile
Champakamala S
Associate Professor
Name of the faculty: Champakamala S
Designation: Assistant Professor
Qualifications: B.E, M.Tech, (Ph. D)
Area of specialization: Image Processing with Machine Learning Techniques
Email id: champakamalas@ssit.edu.in
Experience in years: 15
Membership in professional bodies: MISTE
Papers published in Journals
- Champakamala Sundar Rao,K.Karunakara ” Efficient Detection and Classification of Brain Tumor using Kernel based SVM for MRI” International Journal of Multimedia Tools and Applications, Springer Nature-JAN 2022.
- Champakamala S, K. Karunakara,“A comprehensive review on brain tumor segmentation and classification of MRI images”, Multimedia Tools and Applications- Springer, ISSN: 17611–17643, Feb 2021
- Champakamala S, “Hybrid Framework for Preserving Privacy and Secured Authentication in Distributed Environment”, International Journal of Innovative Research and Studies, Vol 2, Issue 6, June 2013.
- Champakamala S, “Multifactor Based Privacy and Secured Authentication Schemes”, Vol 2, Issue 6, June 2013.
Papers published in National conference
- Champakamala S, “Multifactor Based Privacy Preserving authentication Schemes: An Overview”, National Conference on Advances in Computer Application NCACA, April 24th 2012 at SEIT, Tumkur.
Funded research projects
A project proposal entitled ” Brain Tumor Segmentation and Classification of MRI images using Deep Learning Model” has received a research grant of Rs.15 Lakhs by VGST, GoK under the scheme KFIST-L1.
Other Achievements
- Delivered a guest lecture on “Artificial Intelligence and Machine Learning” on 1st and 2nd April 2024 at Sridevi Polytechnic, Tumakuru.
- Received Certificate of Appreciation for her support and cooperation in conducting SAMARTHYA 2024 held on 14th and 15th May 2024.
- Participated as Session Chairs in the IEEE International Conference on Software, Systems and Information Technology (SSITCON-2024) jointly organized by department of CSE and ISEon 18th and 19th October 2024.
- Resource Person for Three Day Faculty Development Program (FDP) on “Computer Vision and Machine Learning Using Python” organized by Dept. of ECE, SSIT from 26th to 28th September 2024.
- Qualified the ISAC Certified Cyber Crime Intervention Officer (CCIO) Examination by All India Council for Technical Education (AICTE) under NEAT 2.0, Ministry of Education, Government of India in September, 2024.