Assistant Professor |
Ph.D: VLSI Signal Processing, JNTUK, 2023
M.E/M.Tech:VLSI System Design, JNTUK, 2012
B.E/B.Tech:ECE, JNTUK, 2010
Teaching Experience: 13 years
AICTE ID: —
VIDWAN ID: 701911
SVECW ECAP ID: 4024
VLSI Design
- Krishna, B. Murali, et al. “An artificial intelligence driven morph wavelet for speech signal denoising in healthcare diagnostics.” Engineering Applications of Artificial Intelligence 171 (2026): 114138.
- Krishna, B. Murali, et al. “A modified GDI full adder design for enhanced energy efficiency.” Iranian Journal of Science and Technology, Transactions of Electrical Engineering 49.3 (2025): 1233-1242.
- Krishna, B. Murali, et al. “SeismoNet: A Deep Learning Approach for Time-Frequency Analysis of Seismic Data.” IEEE Transactions on Geoscience and Remote Sensing (2025).
- Krishna, B. Murali, et al. “Reduction of Interference Terms in Wigner Ville Distribution using Machine Learning.” Circuits, Systems, and Signal Processing 44.3 (2025): 2041-2072.
- Krishna, B. Murali, et al. “Improving time–frequency resolution in non-stationary signal analysis using a convolutional recurrent neural network.” Signal, Image and Video Processing 18.5 (2024): 4797-4810.
- Krishna, B. Murali, et al. “Design and implementation of time-frequency distributions for real-time applications using field programmable gate array.” Journal of Circuits, Systems and Computers 31.12 (2022): 2250217.
- Krishna, B. Murali, et al. “Linear and quadratic time frequency transforms on FPGA using folding technique.” Microprocessors and Microsystems 80 (2021): 103635.
- Krishna, B. Murali, et al. “Investigation of machine learning algorithms for the pre-estimating medical diagnosis.” AIP Conference Proceedings. Vol. 2512. No. 1. AIP Publishing LLC, 2024.
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