- M. Kavishwar and N. Shanbhag, “Energy-Accuracy Trade-Offs in Massive MIMO Signal Detection Using SRAM-Based In-Memory Computing,” in IEEE Transactions on Circuits and Systems I: Regular Papers, doi: 10.1109/TCSI.2025.3594230, 2025.
- M. Kavishwar and N. Shanbhag, “Compute SNR-Optimal Analog-to-Digital Converters for Analog In-Memory Computing,” arXiv preprint: 2507.09776, 2025.
- M. Kavishwar and N. Shanbhag, “Massive MIMO Signal Detection using SRAM-based In-Memory Computing,” 2024 IEEE International Symposium on Circuits and Systems (ISCAS), Singapore, Singapore, 2024, pp. 1-5, doi: 10.1109/ISCAS58744.2024.10558118.
- M. Kavishwar, P. Kurrey and R. Zele, “Analog Acoustic Feature Extraction and Delta-Sigma Modulation based Neural Network Classification for Voice Activity Detection,” 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-4, doi: 10.1109/INDICON56171.2022.10039873.
- P. Kurrey, M. Kavishwar and R. Zele, “Analog/Mixed-Signal Classification for Voice Activity Detection,” 2022 29th IEEE International Conference on Electronics, Circuits and Systems (ICECS), Glasgow, United Kingdom, 2022, pp. 1-4, doi: 10.1109/ICECS202256217.2022.9971057.