Biography

Dr. Suganthi K is a passionate researcher and professor dedicated to continuous learning, experimentation, and knowledge sharing. She earned her PhD in Adaptive Video Steganography Techniques for Secure Communications under the supervision of Dr. Rajkumar S, Professor, School of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu, India. She holds an M.E. degree with first-class distinction and a university rank. Her research contributions have been published in Scopus-indexed journals with impact factors, reflecting her commitment to advancing knowledge in her field. 

Academic Background

• Ph.D.   - Vellore Institute of Technology, Vellore  -  Graduated in  2023

• ME   - Jeppiaar Engineering College, Chennai (Anna University)  - Graduated in 2017

• B.Tech.   -  Loyola-ICAM College of Engineering and Technology, Chennai (Anna University)  -  Graduated in 2015

Professional Experience

• Teaching cum Research Assistant  -  School of Computer Science and Engineering VIT University, Vellore, Tamil Nadu

• Assistant Professor Senior Grade 1 - School of Computer Science and Engineering, VIT-AP University, Amaravati, Andra Pradesh

Domains of Interest

• Artificial Intelligence 

• Deep Learning

• Game Theory

• Digital Image and Video Processing and Analysis

• Steganography - Information Hiding Techniques

Skills and Expertise

• Programming skills: C, C++, Python, Java, MATLAB

• Project Ideas/Execution

• Algorithmic logic

• Research Writing 

Invited Talks and Guest Lectures

• Resource person for the workshop "Unlocking the Art of Research Writing” at Jeppiaar Institute of Technology, Chennai.

• Keynote speaker at the International Conference on “Recent Innovations in Science, Engineering and Technology” held at Jeppiaar Institute of Technology, Chennai.

Research Publications

• Kumar, S., & Soundrapandiyan, R. (2020). Robust approach of video steganography using combined keypoints detection algorithm against geometrical and signal processing attacks. Journal of Electronic Imaging, 29(4), 043007. 

(Scopus indexed, IF – 1.1)

DOI: https://doi.org/10.1117/1.JEI.29.4.043007

•  Kumar, S., & Soundrapandiyan, R. (2021). A multi-image hiding technique in dilated video regions based on cooperative game-theoretic approach. Journal of King Saud University-Computer and Information Sciences. 

(Scopus indexed, IF – 6.9)

DOI: https://doi.org/10.1016/j.jksuci.2021.05.018

• Kumar, S., & Soundrapandiyan, R. (2022). Digital Video Steganography: An Overview. Computational Methods and Data Engineering: Proceedings of ICCMDE 2021, 561-574.

(Scopus indexed)

DOI: http://dx.doi.org/10.1007/978-981-19-3015-7_42

• Kumar, S., & Soundrapandiyan, R. (2022). A multiple secret image embedding in dynamic ROI keypoints based on hybrid Speeded Up Scale Invariant Robust Features (h-SUSIRF) algorithm. ELCVIA Electronic Letters on Computer Vision and Image Analysis, 21(1), 78-100.

(Scopus indexed)

DOI: https://doi.org/10.5565/rev/elcvia.1470

•  Kumar, S., & Soundrapandiyan, R. (2023). A cooperative three-player game theory approach for designing an ideal video steganography framework. The Imaging Science Journal, 1-28. 

(Scopus indexed)

DOI: https://doi.org/10.1080/13682199.2023.2231194

Patent 

• Indian Published Patent - Cooperative Three-Player Game Theory-based Machine Learning Process for Adaptive Video Steganography (202441021933) 

Academic and Research Identifier 

• Google Scholar - https://scholar.google.co.in/citations?hl=en&user=rDuw-RUAAAAJ