Dr. S. Prasanth Vaidya
Designation Associate Professor
Years of Experience 5 Years
Department Computer Science and Engineering
Email Id spvaidya@mlrinstitutions.ac.in
JNTUH Unique Id 123456789
Areas of Specialization Digital Watermarking
UG Degree B.Tech
PG Degree M.Tech
Ph.D PhD (CSE)
Joining Date
Nature of Association

Dr. S. Prasanth Vaidya

Papers Published

Journal Publications:

1) Asha Kumari , S. Prasanth Vaidya .” Automated parking management system for identifying vehicle number plate “, Indonesian Journal of Electrical Engineering and Computer Science (2019), Vol. 13, No. 1, pp. 77~84. (SCOPUS) 2)G. Saibaba, S. Prasanth Vaidya .” Developing an Userfriendly Online Shopping Web-Site “, Indonesian Journal of Electrical Engineering and Computer Science (2018), Vol. 12, No. 3, pp. 1126~1131. (SCOPUS) 3) Prasanth Vaidya S, Chandra Mouli PVSSR, and K C Santosh .” Imperceptible watermark for a game-theoretic watermarking system, International Journal of Machine Learning and Cybernetics (2019), Volume 10, Issue 6, pp 1323-1339. (Impact Factor: 3.844) 4) Prasanth Vaidya S, and Chandra Mouli PVSSR. “Adaptive, robust and blind digital watermarking using Bhattacharyya distance and bit manipulation.” Multimedia Tools and Applications (2017), Volume 77, Issue 5, pp 5609–5635 . (Impact Factor: 1.541) 5) Prasanth Vaidya S, and Chandra Mouli PVSSR. “A robust semi-blind watermarking for color images based on multiple decompositions.” Multimedia Tools and Applications (2017), Volume 76, Issue 24, pp 25623–25656. (Impact Factor: 1.541) 6)Prasanth Vaidya S. “Multipurpose Color Image Watermarking in Wavelet Domain using Multiple Decomposition Techniques.” 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT). IEEE, 2018: 251-255. 7)Prasanth Vaidya S, and PVSSR Chandra Mouli. “Adaptive digital watermarking for copyright protection of digital images in wavelet domain.” Procedia Computer Science 58 (2015): 233-240.

Subjects Taught

Computer Graphics, Human Computer Interaction, Storage Area Networks and Management, Data Warehouse and Data Mining

Books Published

Brochure