Research Interests
Emerging Memory Technologies
BioSketch
Research
Adaptive Multi-Threshold Encoding for Energy-Efficient ECG Classification Architecture using Spiking Neural Network
2025
S. Diware, Y. Dong, M. A. Yaldagard, S. Hamdioui, and R. Bishnoi | IEEE
Journal: IEEE Design, Automation & Test in Europe Conference (DATE)
Hardware-Aware Quantization for Accurate Memristor-Based Neural Networks
2024
S. Diware, M. A. Yaldagard, and R. Bishnoi | IEEE/ACM
Journal: IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
Severity-Based Hierarchical ECG Classification Using Neural Networks
2023
S. Diware, S. Dash, A. Gebregiorgis, R. V. Joshi, C. Strydis, S. Hamdioui, and R. Bishnoi | IEEE
Journal: IEEE Transactions on Biomedical Circuits and Systems (TBioCAS)
Accurate and Energy-Efficient Bit-Slicing for RRAM-Based Neural Networks
2022
S. Diware, A. Singh, A. Gebregiorgis, R. V. Joshi, S. Hamdioui, and R. Bishnoi | IEEE
Journal: IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI)
