Selected Publications

  1. H. Das, R. D. Febbo, S. N. B. Tushar, N. N. Chakraborty, M. Liehr, N. Cady, and G. S. Rose, “An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks,” IEEE Transactions on Circuits and Systems I (TCAS-I), 2024.
  2. S. N. B. Tushar, H. Das, and G. S. Rose, “HfO2-Based Synaptic Spiking Neural Network Evaluation to Optimize Design and Testing Cost,” IEEE International Symposium on Circuits and Systems (ISCAS), 2024.
  3. S. N. B. Tushar, et al., “On-Chip Row Pruning for One-Hot Encoded SNNs in Memristive Dot-Product Engines,” IEEE Midwest Symposium on Circuits and Systems (MWSCAS), 2025 (accepted).
  4. S. N. B. Tushar, S. H. Alam, N. N. Chakraborty, H. Das, C. D. Schuman, and G. S. Rose, “In-Memory Template Matching with Approximated PCC Computation Leveraging Memristive Systems,” IEEE International Symposium on Quality Electronic Design (ISQED), 2025.
  5. S. Sarker, S. N. B. Tushar, and H. Chen, “High Accuracy Keyway Angle Identification Using a VGG-16–Based Learning Method,” Journal of Manufacturing Processes, 2023.

Full publication list available on Google Scholar.