Publications

2025

Sai Sanjeet, Sanchari Das, Shiuh-Hua Wood Chiang, Masahiro Fujita, and Bibhu Datta Sahoo, "Systematic Design of Ring VCO-Based SNN—Translating Training Parameters to Circuits," IEEE Open Journal of Circuits and Systems, vol. 6, pp. 283-294, 2025. [Read here]
Sai Sanjeet and Bibhu Datta Sahoo, "High Accuracy RF Modulation Recognition using Low-Dimensional Encoder-based SNN," 2025 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2025. [Read here]
Tuan Quang Pham, Sai Sanjeet, and Bibhu Datta Sahoo, "Machine Learning Based Calibration Techniques for ADCs: An Overview," 2025 IEEE 43rd VLSI Test Symposium (VTS), pp. 1-5, 2025. [Read here]
Sai Sanjeet, Seyyedali Hosseinalipour, Jinjun Xiong, Masahiro Fujita, and Bibhu Datta Sahoo, "Breaking the Barriers of One-to-One Usage of Implicit Neural Representation in Image Compression: A Linear Combination Approach With Performance Guarantees," IEEE Internet of Things Journal, vol. 12, no. 7, pp. 8947-8957, 2025. [Read here]
Senorita Deb, Sai Sanjeet, Prabir Kumar Biswas, and Bibhu Datta Sahoo, "Variable Resolution Pixel Quantization for Low Power Machine Vision Application on Edge," IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 15, no. 1, pp. 58-71, 2025. [Read here]

Sai Sanjeet, Bibhu Datta Sahoo, and Keshab K. Parhi, "SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling," IEEE Transactions on Circuits and Systems for Artificial Intelligence, vol. 1, no. 2, pp. 149-163, 2024. [Read here]
Sai Sanjeet, Sanchari Das, Shiuh-Hua Wood Chiang, Masahiro Fujita, and Bibhu Datta Sahoo, "Systematic Design of Ring VCO-Based SNN - Translating Training Parameters to Circuits -," 2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 1212-1216, 2024. [Read here]
Sai Sanjeet, Jonathan Bird, and Bibhu Datta Sahoo, "MEFET-Based CAM/TCAM for Memory-Augmented Neural Networks," IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 10, pp. 31-39, 2024. [Read here]

Sai Sanjeet, Sannidhi Boppana, Bibhu Datta Sahoo, and Masahiro Fujita, "Noise Resilience of Reduced Precision Neural Networks," Proceedings of the 13th International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies, pp. 114-118, 2023. [Read here]
Sai Sanjeet, Rahul K. Meena, Bibhu Datta Sahoo, Keshab K. Parhi, and Masahiro Fujita, "IIR Filter-Based Spiking Neural Network," 2023 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1-5, 2023. [Read here]
Sai Sanjeet, Shruti Konwar, and Bibhu Datta Sahoo, "Transition Point Estimation Using RC-Filtered Square Wave for Calibration of SAR ADC," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 5, pp. 1794-1798, 2023. [Read here]
Sai Sanjeet, Bibhu Datta Sahoo, and Masahiro Fujita, "Energy-Efficient FPGA Implementation of Power-of-2 Weights-Based Convolutional Neural Networks With Low Bit-Precision Input Images," IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 2, pp. 741-745, 2023. [Read here]

Sai Sanjeet, Bibhu Datta Sahoo, and Keshab K. Parhi, "Low-Energy Real FFT Architectures and Their Applications to Seizure Prediction from EEG," Analog Integrated Circuits and Signal Processing, vol. 114, no. 3, pp. 287-298, 2022. [Read here]

Sai Sanjeet, Bibhu Datta Sahoo, and Keshab K. Parhi, "Comparison of Real-Valued FFT Architectures for Low-Throughput Applications using FPGA," 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 112-115, 2021. [Read here]

Mayank Palaria, Sai Sanjeet, Bibhu Datta Sahoo, and Masahiro Fujita, "Adder-Only Convolutional Neural Network with Binary Input Image," 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), pp. 319-322, 2019. [Read here]