Na Gong
Professor
Larry Drummond Endowed Chair
Department of Electrical and Computer Engineering
University of Alabama
Office: North Engineering Research Center (NERC) 1008
Email: [email protected]
Phone: (205) 348-1718
I am Professor and Larry Drummond Endowed Chair​ in the Department of Electrical and Computer Engineering at University of Alabama (UA). Before joining UA, I was Warren Nicholson Endowed Professor and the Founding Director of ​Institute for Artificial Intelligence and Microelectronics (IAIM) at the University of South Alabama (USA), Mobile, AL. I received my Ph.D. in Computer Science & Engineering from University at Buffalo, The State University of New York in 2013. ​

My research interests lie in intelligent VLSI circuits and systems, artificial intelligence (AI) hardware, hardware design for privacy, and AI for biomedical applications. My group is interested in exploring device, circuit, architecture, and application-level solutions for developing efficient computing circuits and systems, with an emphasis on AI, videos, and cancer detection. For more about our research see: ​RESEARCH.​​
Latest Update​
  • New! IMPACT Lab is looking for highly motivated PhD students to join our exciting research projects on Edge AI, VLSI, and hardware privacy. One Postdoctoral Fellow position is also available immediately.
  • [09/2025][Grant] New NSF NRT Grant as PI (DGE-2510192, $2M, 2025-2029).
  • [08/2025][Grant] New NSF MRI Grant as PI (CNS-2408064, $800,000, 2025-2028).
  • [08/2025] [Research] Our team was invited to write a review paper on “privacy by design via memory technologies” and organized a panel in 2025 IEEE International Conference on Omni-layer Intelligent Systems (COINS). 
  • ​[08/2025] [Event] Na and her team joined the University of Alabama (UA)​.
  • [07/2025][Grant] New NSF RET Site Grant as PI (CCF-2502054, $600,000, 2025-2028).
  • [05/2025][Publication] Our paper on new memory design for privacy has been accepted for publication in IEEE Transactions on Circuits and Systems II!
  • [04/2025][Publication] Our paper on new Edge AI device development for diabetes management has been accepted for publication in GLSVLSI 2025!
  • [04/2025][Award] Destinie received the Computer Engineering Student of the Year Award and Computer Engineering Honor Book Award. Congratulations, Destinie! 
  • [04/2025][Award] Na received the College of Engineering Excellence in Teaching Award. 
  • [04/2025][Award] Na is recognized for research and innovation for the 2024-2025 year.
  • [09/2024][Publication] Our paper on Flexible Bit-Truncation Memory for Low-Power Quality-Adaptive Video and Deep Learning Storage has been accepted by the 15th International Green and Sustainable Computing Conference (IGSC'24).
  • ​[08/2024][Grant] New DOE grant on neuromorphic computing as Co-PI ($1,000,000, September 2024 – August 2028). 
  • [08/2024][Award] Na received the National Alumni Association Faculty Innovation Award, University of South Alabama, 2024. 
  • [08/2024][Grant] New NSF MRI grant (DBI # 2408000) and New NSF EAGER grant (EES #2427766) as Co-PI.
  • [07/2024][Grant] New NSF grant (ITE # 2346905) on semiconductor research and experiential education as Co-PI. 
  • [06/2024][Publication] Our paper on Hyperspectral Deep Learning for Colorectal Cancer Detection has been accepted for publication in Scientific Reports -Nature!
  • [06/2024][Publication] Our paper on deep learning model optimization for Edge AI has been accepted for publication in Advanced Intelligent Systems!
  • [05/2024][Award] Best Presentation Award, 2024 International Conference on Computer Communication and Artificial Intelligence (CCAI)!
  • [05/2024] [Award] Isaac Arnold was awarded Alabama EPSCoR Graduate Research Scholars Program Fellowship. Congratulations, Isaac!
  • [03/2024][Publication] Our paper on Differential Privacy by Low-power SRAM Memory has been accepted for publication in IEEE Transactions on Dependable and Secure Computing!
  • [03/2024][Award] Our paper received 2024 ASEE-SE Thomas C. Evans Engineering Education Paper Award. 
Recent Publications (Read More)
  • [TCASII] K. Mooney, M. Renteria-Pinon, S. H., H. Das, J. Liu, and N. Gong, “Low-Cost Low-Power Failure-Tunable Memory for Differential Privacy,” IEEE Transactions on Circuits and Systems II (TCASII), vol. 72, no. 7, 2025.
  • [TDSC] J. Liu, N. Gong, and Hritom “Two Birds with One Stone: Differential Privacy by Low-power SRAM Memory,” IEEE Transactions on Dependable and Secure Computing, vol. 21, no. 6, 2024. (J. Liu and N. Gong contributed equally to the work as the first authors.)
  • [IEEE Micro] J. Liu and N. Gong, “Privacy By Memory Design: Visions and Open Problems,” IEEE Micro, vol. 44, no. 1, pp. 49 – 58, January 2024.
  • [IEEE Access]  A. Haidous, W. Oswald, H. Das, and N. Gong, “Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming,” IEEE Access, vol. 10, pp. 26830 – 26848, Mar. 2022.
  • [TVLSI] H. Das, A. A. Haidous, S. C. Smith, and N. Gong, “Flexible Low-Cost Power-Efficient Video Memory With ECC-Adaptation,” IEEE Trans. on Very Large Scale Integration (VLSI) Systems, 2021, 29(10): 1693 – 1706.
  • [T-SUSC] Y. Xu, D. Hritom, and N. Gong, “Application-Aware Quality-Energy Optimization: Mathematical Models Enabled Simultaneous Quality and Energy-Sensitive Optimal Memory Design,” IEEE Trans. on Sustainable Computing, 2021, 6(4): 559 - 571.
  • [TVLSI] 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, 2020, 28(2): 307-316.
  • [TCSVT] 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.
  • [JCSC] X. Li and N. Gong, “Run-time Deep Learning Enhanced Fast Coding Unit Decision for High Efficiency Video Coding,” Journal of Circuits, Systems, and Computers, vol. 29, no. 3, pp. 2050046-1 - 2050046-19, 2020.
  • [JETCAS] 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, 2019, 9(2): 377-387.
  • [IEEE Access] J. Edstrom, Y. Gong, A. A. Haidous, B. Humphrey, M. E. McCourt, Y. Xu, J. Wang and N. Gong, “Content-Adaptive Memory for Viewer-Aware Energy-Quality Scalable Mobile Video Systems,” IEEE Access, vol. 7, pp. 47479-47493, April 2019.
  • [TBD] 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, 2019, 5(1): 95-105.
  • [TCASII] J. Edstrom, Y. Gong, D. Chen, J. Wang, and N. Gong, “Data-Driven Intelligent Efficient Synaptic Storage for Deep Learning,” IEEE Trans. on Circuits and Systems II, 2017, 64(12): 1412-1416.