S. Baek, G. H. Yu, J. Kim, C. T. Ngo, J. K. Eshraghian, J. P. Hong, "A Reconfigurable SRAM based CMOS PUF with Challenge to Response Pairs", IEEE Access, Early Access. [pdf]

P. Li, X. Wang, X. Zhang, J. K. Eshraghian, H. Iu, "Spice modelling of a tri-state memristor and analysis of its series and parallel characteristics", IET Circuits, Devices & Systems, May 2021, p. e1-11.

C. Lammie, J. K. Eshraghian, W. D. Lu and M. Azghadi, "Memristive Stochastic Computing for Deep Learning Parameter Optimization", IEEE Trans. Circuits and Systems I: Express Briefs, vol. 68, no. 5, pp. 1650-1654, Mar. 2021 . [pdf]

J. Lee, J. K. Eshraghian, S. Kim, K. Eshraghian, K. Cho, "Quantized Convolutional Neural Network Implementation on a Parallel-Connected Memristor Crossbar Array for Edge AI Platforms", Journal of Nanoscience and Nanotechnology, vol. 21, no. 3, pp. 1854-1861, Mar. 2021.

J. K. Eshraghian, J. Lee, S. Kim, K. Eshraghian and K. Cho, "A Leaky-Integrate-and-Fire Neuron Model of Spontaneous Reset of Thin-Film Metal-Oxide Resistive Switches", Journal of Nanoscience and Nanotechnology, vol. 21, no. 3, pp. 1920-1926, Mar. 2021.

Anna Jobin, Kingson Man, Antonio Damasio, Georgios Kaissis, Rickmer Braren, Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West, Brent Mittelstadt, Jason K. Eshraghian, Marta R. Costa-jussà, Asaf Tzachor, Aimun A. B. Jamjoon, Mariarosaria Taddeo, Edoardo Sinibaldi, Yipeng Hu and Miguel Luengo-Oroz, "AI Reflections in 2020", (Invited paper) Nature Machine Intelligence, vol. 3, p. 2-8, Jan. 2021. [pdf]

S. You, J. K. Eshraghian, H. Iu and K. Cho, "Low-Power Wireless Sensor Network Using Fine-Grain Control of Sensor Module Power Mode", Sensors, vol. 21, no. 9, p. e3198, Jan. 2021. [open-access]

X. Wang, P. Zhou, J. K. Eshraghian, C. Lin, H. Iu, T. Chang and S. Kang, "High Density Memristor-CMOS Ternary Logic Family" IEEE Trans. Circuits and Systems I: Reg. Papers, vol. 68, no. 1, pp. 264-274, Jan. 2021. [pdf]

2020

C. Lin, Y. Tseng, P. Chen. T. Chang, J. K. Eshraghian, Q. Wang, Q. Lin, Y. Tan, M. Tai, W. Hung, H. Huang, W. D. Lu and S. Sze, "A High Speed MIM Resistive Memory Cell with an Inherent Vanadium Selector", Applied Materials Today, vol. 21, Dec. 2020. [pdf]

M. Azghadi, C. Lammie, J. K. Eshraghian, M. Payvand, E. Donati, B. Linares-Barranco and G. Indiveri, “Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications”, IEEE Transactions on Biomedical Circuits and System, vol. 14, no. 6, Dec. 2020, pp. 1138-1159. [pdf]

C. Lin, J. Chen, P. Chen, T. Chang, Y. Wu, J. K. Eshraghian, J. Moon, Y. Wang, Z. Wang, H. Huang, Y. Li, X. Miao, W. D. Lu and S. Sze, "Adaptive Synaptic Memory via Lithium Ion Modulation in RRAM Devices", Small, p. e2003964, Sep. 2020. [pdf]

J. K. Eshraghian, Q. Lin, X. Wang, H.H.C. Iu, Q. Hu, H. Tong, “A Behavioral Model of Digital Resistive Switching for Systems Level DNN Acceleration”, IEEE Tran. Circuits and Syst. II: Express Briefs, vol. 67, no. 5, May. 2020, pp. 956-960. [pdf]

J.K. Eshraghian, “Human Ownership of Artificial Creativity”, Nature Machine Intelligence, vol. 2, no. 3, March 2020, pp. 157-160. [Springer] [pdf]

M. Rahimi-Azghadi, Y.C. Cheng, J.K. Eshraghian, J. Chen, C.Y. Lin, A. Amirsoleimani, A. Mehonic, A.J. Kenyon, B. Fowler, J.C. Lee and Y.F. Chang, “CMOS and Memristive Hardware for Neuromorphic Computing”, Advanced Intelligence Systems, Mar. 2020, p. e1900189. [open-access]

J. K. Eshraghian, S. Baek, T. Levi, T. Kohno, S. Al-Sarawi, P. Leong, K. Cho, D. Abbott and O. Kavehei, “Nonlinear Retinal Response Modeling for Future Neuromorphic Instrumentation”, IEEE Instrumentation & Measurement Magazine, February 2020, pp. 21-29. [IEEE Xplore]

2019

C. Zheng, D. Yu, H.H.C. Iu, T. Fernando, T. Sun, J.K. Eshraghian, and H. Guo, “A Novel Universal Interface for Constructing Memory Elements for Circuit Applications”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 66, no. 12, pp. 4793-4806, September 2019. [IEEE Xplore]

J. Lee, J.K. Eshraghian, M. Jeong, F. Shan, H.H.C. Iu and K.R. Cho, “Nano-Programmable Logics Based on Double-Layer Anti-Facing Memristors”, Journal of Nanoscience and Nanotechnology, vol. 19, no. 3 pp. 1295-1300(6), March 2019.

2018

J. K. Eshraghian, K. R. Cho, C. Zheng, M. Nam, H.H.C. Iu, W. Lei and K. Eshraghian, “Neuromorphic Vision Hybrid RRAM-CMOS Architecture”, IEEE Trans. Very-Large-Scale-Integration (VLSI) Systems, vol. 26, no. 12, December 2018, pp. 2816-2829. Best Paper Award. [pdf]

J. K. Eshraghian, S. Baek, J.H. Kim, N. Iannella, K. Cho, Y.S. Goo, S.M. Kang and K. Eshraghian, “Formulation and Implementation of Nonlinear Integral Equations to Model Neural Dynamics Within the Vertebrate Retina”, International Journal of Neural Systems, vol. 28, no. 7, July 2018, p. e1850004. [ncbi]

C. Zheng, H.H.C. Iu, T. Fernando, D.S. Yu, H. Guo and J.K. Eshraghian, “Analysis and Generation of Chaos Using Compositely Connected Coupled Memristors”, Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 28, no. 6, Jun. 2018, p. e063115. [pdf]

2017

J. K. Eshraghian, K.R. Cho, H.H.C. Iu, S.M. Kang and K. Eshraghian, “Maximization of Crossbar Array Memory Using Fundamental Memristor Theory”, IEEE Trans. Circuits and Syst. II: Express Briefs, vol. 64, no. 12, Dec. 2017, pp. 1402-1406. [IEEE Xplore]

2016

S.W. Cho, J.K. Eshraghian, J.S. Eom, S.J. Kim and K.R. Cho, “Storage Logic Primitives Based on Stacked Memristor-CMOS Technology”, Journal of Nanoscience and Nanotechnology, vol. 16, no. 12, pp. 12726-12731(6), Dec. 2016.

K.R. Cho, S. Baek, S. Cho, J. Kim, Y.S. Goo, J.K. Eshraghian, N. Iannella and K. Eshraghian, “Signal Flow Platform for Mapping and Simulation of Vertebrate Retina for Sensor Systems”, IEEE Sensors Journal, vol. 16, no. 15, pp. 5856-5866, Aug. 2016.

J. K. Eshraghian, K. Cho, S. Kang, "A 3-D Reconfigurable RRAM Crossbar Inference Engine", 2021 IEEE International Symposium on Circuits and Systems, Daegu, Korea, May 2021.

D. Robey, W. Thio, H. Iu, J. K. Eshraghian, "Naturalizing Neuromorphic Vision Event Streams Using Generative Adversarial Networks", 2021 IEEE International Symposium on Circuits and Systems, Daegu, Korea, May 2021.

J.K. Eshraghian, S.M. Kang, S. Baek, G. Orchard, H.H.C. Iu and W. Lei, “Analog Weights in ReRAM DNN Accelerators”, 2019 IEEE Artificial Intelligence Circuits and Systems Conference, March 2019. Best Paper Award.