Dr. Yechuri Sivaramakrishna

Papers Published

1. Yechuri, S., & Vanambathina, S. (2023). A nested U-Net with efficient channel attention and D3Net for speech enhancement. Circuits, Systems, and Signal Processing, 42(7), 4051–4071.
2. Vanambathina, S. D., Nandyala, S., Jannu, C., Sirisha Devi, J., Yechuri, S., et al. (2024). Speech enhancement using U-Net-based progressive learning with squeeze-TCN. In Proceedings of the International Conference on Advances in Distributed Computing and Machine Learning.
3. Yechuri, S., & Vanambathina, S. (2024). A subconvolutional U-Net with gated recurrent unit and efficient channel attention mechanism for real-time speech enhancement. Wireless Personal Communications, 1–19.
4. Yechuri, S., & Vanambathina, S. (2024). Single channel speech enhancement using iterative constrained NMF-based adaptive Wiener gain. Multimedia Tools and Applications, 83(9), 26233–26254.
5. Yechuri, S., & Vanambathina, S. D. (2023). Genetic algorithm-based adaptive Wiener gain for speech enhancement using an iterative posterior NMF. International Journal of Image and Graphics, 23(06), 2350054.
6. Yechuri, S., Komati, T. R., Yellapragada, R. K., & Vanambathina, S. (2024). A multi-scale subconvolutional U-Net with time-frequency attention mechanism for single channel speech enhancement. Circuits, Systems, and Signal Processing, 43(9), 5682–5710.
7. Yechuri, S., & Vanambathina, S. (2022). A U-Net with gated recurrent unit and efficient channel attention mechanism for real-time speech enhancement. In Proceedings of the IEEE International Conference on Advanced Networks.
8. Yechuri, S., & Vanambathina, S. D. (2025). Speech enhancement: A review of different deep learning methods. International Journal of Image and Graphics, 25(03), 2550024.
9. Yechuri, S., Nandyala, S., Vanambathina, S. D., Devi, J. S., Jannu, C., & Sharma, L. D. (2024). Forest aerial image segmentation through satellite images using Refine U-Net model. In Proceedings of the International Conference on Advances in Distributed Computing and Machine Learning.
10. Tandra, N., Jyothirmaye, S., & Yechuri, S. (2023). TNU-Net: Water body segmentation based on transformer network with U-Net model. In Proceedings of the 6th International Conference on Recent Trends in Advanced Computing.
11. Velpula, V. K., Sivaramakrishna, Y., Miriyala, G., & Geetha, Y. (2024). Pseudocapacitive materials: A critical examination of terminological perspectives. Journal of Physics: Conference Series, 2837(1), 012043.
12. Velpula, V. K., Prasad, S. V. S., Vadlamudi, J., Yechuri, S., Miriyala, G., & Kumar, M. (2024). Traffic sign recognition for automated speed control using deep learning. In Proceedings of the 2nd International Conference on Recent Trends in Microelectronics.
13. Yechuri, S., & Vanambathina, S. D. (2023). An iterative posterior regularized NMF-based adaptive Wiener filter for speech enhancement. In Machine Learning, Image Processing, Network Security and Data Sciences.
14. Miriyala, G., Velpula, V. K., Yechuri, S., Sridhar, B., & Vinod, G. V. (2024). A survey on photonics and its applications. Journal of Physics: Conference Series, 2837(1), 012041.
15. Yechuri, S., & Vanambathina, S. (2023). ATNSCUNet: Adaptive transformer network based sub-convolutional U-Net for single channel speech enhancement. In Proceedings of the 6th International Conference on Recent Trends in Advanced Computing.
16. Yechuri, S., Ramadevi, S., Anand, M., Velpula, V. K., Miriyala, G., & Siddhartha, V. (2026). Deep learning-based time-frequency attention network model for water-body segmentation. Engineering Proceedings, 124(1), 124.
17. Sivaramakrishna, Y., Anand, M., Sandireddy, R., Velpula, V. K., & Miriyala, G. (2025). Deep learning-based time frequency attention network model for water body segmentation. MDPI.
18. Sivaramakrishna, Y., Anand, M., Sandireddy, R., Velpula, V. K., & Miriyala, G. (2025). Design and analysis of a 9 GHz inset fed microstrip patch antenna for X-band applications. MDPI.
19. Yechuri, S., Nithin, N., Akshitha, P., Shekhar, P., & Kalyanraju, P. (2025). Spectrogram-based single channel speech enhancement with temporal-aware 3D-CNN and recurrent fusion. In Proceedings of the International Conference on Electronics and Computing, Communication and Control.
20. Yechuri, S., Vijay, V., & Laxma Reddy, D. (2024). Analysis of metamaterial integration effects on antenna structures. Journal of Physics: Conference Series, 2837(1), 012035.

Subjects Taught

1. Signals and Systems
2. Analog and Digital communications
3. Digital System Design
4. Digital Signal Processing
5. Control Systems
6. Wireless and Mobile communications

Books Published