Dr. Na Gong

Dr. Na Gong

Warren Nicholson Professor
Electrical & Computer Engineering


  • Ph.D. in Computer Science & Engineering, University at Buffalo, the State University of New York (SUNY)
  • M.S. in Electrical Engineering, Hebei University, China
  • B.E. in Electrical Engineering, Hebei University, China


  • Artificial Intelligence (AI) Technology and Edge AI
  • Multi-Level (Device/Circuit/Architecture/Application) VLSI Design
  • Memory Design for Privacy Protection
  • Intelligent Power-Efficient Mobile Video Circuits and Systems
  • Neuromorphic Computing


  • H. Das, A. Haidous, S. Smith, and N. Gong, “Flexible Low-Cost Power-Efficient Video Memory with ECC-Adaptation,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 29, no. 10, pp. 1693 – 1706, Aug. 2021.
  • J. Edstrom, H. Das, Y. Xu, and N. Gong, “Memory Optimization for Energy-Efficient Differentially Private Deep Learning,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, vol. 28, no. 2, pp. 307-316, Feb. 2020.
  • Y. Xu, D. Hritom, Y. Gong and N. Gong, “On Mathematical Models of Optimal Video Memory Design,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 30, no. 1, pp. 256-266, Jan. 2020.
  • J. Fu, Z. Liao, N. Gong, and J. Wang, “Mitigating Nonlinear Effect of Memristive Synaptic Device for Neuromorphic Computing,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 9, no. 2, pp. 377-387, June 2019.
  • J. Edstrom, D. Chen, Y. Gong, J. Wang, and N. Gong, “Data-Pattern Enabled Self-Recovery Low-Power Storage System for Big Video Data,” IEEE Trans. on Big Data, vol. 5, no. 1, pp. 95-105, March 2019.

For a complete list of publications, please see my Personal Website.


  • EE 560 Advanced Computer Architecture
  • EE 454/554 Digital Computer Architecture
  • EE 443/543 HDL Logic Simulation
  • EE 440/540 HDL Logic Synthesis