For a complete list of publications please refer to our Google Scholar profile.
B. Reidy, G. Jalilvand, T. Jiang and R. Zand, "TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks," 2020 19th IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2020, pp. 1468-1474, doi: 10.1109/ICMLA51294.2020.00227.
E. Jokar, S. H. Klidbary, H. Abolfathi, S. B. Shouraki, R. Zand and A. Ahmadi, "Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 67, no. 12, pp. 4932-4945, Dec. 2020, doi: 10.1109/TCSI.2020.3010723.
V. Ostwal, R. Zand, R. DeMara and J. Appenzeller, "A Novel Compound Synapse Using Probabilistic Spin–Orbit-Torque Switching for MTJ-Based Deep Neural Networks," in IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, vol. 5, no. 2, pp. 182-187, Dec. 2019, doi: 10.1109/JXCDC.2019.2956468.
R. Zand and R. F. DeMara, "MRAM-Enhanced Low Power Reconfigurable Fabric With Multi-Level Variation Tolerance," in IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 12, pp. 4662-4672, Dec. 2019, doi: 10.1109/TCSI.2019.2932379.