VEDIC LAB

Degree- PhD Completed

Title of the Thesis - DESIGN OF FPGA PROTOTYPE FOR AUDIO WATERMARKING SYSTEM FOR MULTIMEDIA SECURITY APPLICATION

Year of Award - 2024

Email id: praveenk783@gmail.com

Research Area: VLSI & Signal Processing, Audio Watermarking

Publications (From PhD):

Conferences:

1. Kasetty Praveen Kumar and Aniruddha Kanhe, “Covert speech communication through audio steganography using DWT and SVD”, 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2020. 

Journals:

1. Kasetty Praveen Kumar and Aniruddha Kanhe, “A Two Stage Pipeline Architecture for Hardware Implementation of Multi-Level Decomposition of 1-D Framelet Transform”, Microprocessors and Microsystems, vol. 108, no. 105064, 2024. (SCIE, IF: 1.9)

2. Kasetty Praveen Kumar and Aniruddha Kanhe, “An Adaptive Embedding Approach for High Imperceptible and Robust Audio Watermarking using Framelet Transform and SVD”, Circuits Systems and Signal Processing, vol. 42, no.9, pp. 5684–5713, 2023. (SCIE, IF:2.3)

3. Kasetty Praveen Kumar and Aniruddha Kanhe, “FPGA Architecture to Perform Symmetric Extension on Signals for Handling Border Discontinuities in FIR Filtering”, Computers and Electrical Engineering, vol. 103, no. 108307, 2022. (SCIE, IF:4.3)

4. Kasetty Praveen Kumar and Aniruddha Kanhe, “Secured Speech Watermarking with DCT Compression and Chaotic Embedding using DWT and SVD”, Arabian Journal for Science and Engineering, vol. 47, pp. 10003–10024, 2022. (SCIE, IF:2.9).

Patents:

1. Aniruddha Kanhe and Kasetty Praveen Kumar, “A System for Symmetric/Anti-Symmetric Extension of Finite Length Signals and Method Thereof”, Indian Patent, 424781. [Legally Inforce]

Qualifications   : M.E.

Status of PhD   : Ongoing

Email Id         : ec21d1002@nitpy.ac.in

Research Area   :  VLSI signal processing, Hardware accelerator design for deep learning,    Approximate digital circuits design

Publications (From PhD):

1.       Sridhar C, A Kanhe (2023) Performance Comparison of Various Neural Networks for Speech Recognition. In Journal of Physics Conference Series 2466(1):012008 (IOP Publishing)

https://doi.org/10.1088/1742-6596/2466/1/012008

2.       Sridhar, C., Kanhe, A. Approximate Floating Point Precise Carry Prediction Adder for FIR Filter Applications. Circuits Syst Signal Process (2024). https://doi.org/10.1007/s00034-024-02760-9

Qualifications:   M.E-COMMUNICATION SYSTEMS

Status of PhD :  Ongoing

Email id:   bismillahkhan85@gmail.com

Research Area: VLSI Signal Processing, Speech Processing, Convolutional Neural Network

Qualifications :  M.E-Communication Systems

Status of PhD : Ongoing

Email id : sumitrasnp97@gmail.com

Research Area : VLSI Signal Processing, Audio watermarking