Na Gong
Warren Nicholson Professor Department of Electrical and Computer Engineering University of South Alabama Office: Shelby Hall 4120 Email: [email protected] Phone: (251) 460-6117 |
I am Warren Nicholson Endowed Professor in the Department of Electrical and Computer Engineering at University of South Alabama. I received her 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.
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 AI, VLSI, and hardware privacy. One research assistant professor position is also available immediately; please find more details here.
- [03/2025][Publication] Our paper on Differential Privacy by Low-power SRAM Memory has been accepted for publication in IEEE Transactions on Dependable and Secure Computing!
- [03/2025][Award] Our paper received 2024 ASEE-SE Thomas C. Evans Engineering Education Paper Award.
- [01/2024][Event] Isaac Arnold joined IMPACT Lab as a MS student. Welcome, Isaac!
- [11/2023][Publication] Our paper on memory design for privacy has been accepted for publication in IEEE Micro!
- [10/2023][Award] Na received the Academic Research Excellence Award! (Read More)
- [08/2023][Event] Dr. Mario Renteria-Pinon joined IMPACT Lab as Postdoc Fellow. Welcome, Mario!
- [08/2023][Event] Safa Haq joined IMPACT Lab as a PhD student. Welcome, Safa!
- [08/2023][Event] Kyle Moore joined IMPACT Lab as a MS student. Welcome, Kyle!
- [07/2023][Award] Destinie Diggs received “NASA Space Grant Scholarship”! Congratulations, Destinie!
- [07/2022] [Grant] Our project on integrating culturally relevant project-based AI into high school STEM education (collaborating with Dr. S. Zha) has been recently funded by NSF (NSF DRL #2333098).
- [06/2023][Publication] Our paper on approximate memory for low-power video applications has been accepted for publication in IEEE Access. Congratulations, Hritom, Ali, and Scott!
- [11/2022][Award] Destinie Diggs received "Outstanding LSAMP Scholar Award"! Congratulations, Destinie!
- [10/2022][Event] William Oswald and his PhD research has featured in the IEEE HKN Bridge Magazine. Congratulations, Liam! Liam also presented our recent research results on “Scalable Hyperspectral AI for Real-time Colonoscopy Classification” in Biomolecular Imaging & Informatics 2022.
- [09/2022][Event] Our NSF Edge AI project kickoff meeting was held in Mobile, AL. (Project Webpage)
- [08/2022][Event] Sajjad Hossain joined IMPACT Lab as PhD student. Welcome, Sajjad!
- [08/2022] [Grant] Our project on building research infrastructure and workforce in Edge Artificial Intelligence has been recently funded by NSF (NSF OIA #2218046).
- [08/2022] [Grant] Our project on memory design for differential privacy has been recently funded by NSF (NSF CNS #2211215).
- [04/2022] [Award] Na received the College of Engineering Excellence in Research Award.
- [02/2022][Paper] Our paper on content-adaptable region-of-interest aware video system has been accepted for publication in IEEE Access. Congratulations, Ali, Liam, and Hritom!
- [02/2022][Event] William Oswald finished M.S. thesis defense and continued his Ph.D.! Congratulations, Liam!
- [12/2021][Event] We held NSF RET Fall Follow-up Workshop. All eight participating teachers successfully finished lesson implementation in the classroom. Two abstracts were accepted by ASEE 2022.
- [10/2021][Event] IMPACT Lab offered research presentations and project demostrations (e.g., video processing, memory chip design, AI system for cancer detection) to 600+ local Middle School and High School students.
- [09/2021] [Award] Na received the Phi Kappa Phi Scholar of the Year award.
- [08/2021] [Grant] Our project on integrating computing to pre-service teachers training (collaborating with Dr. S. Zha) has been recently funded by NSF (NSF DUE #2121417).
- [06/2021] [Paper] Our paper on flexible low-power memory with run-time ECC-adaptation has been accepted for publication in IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
- [05/2021] [Award] William Oswald was awarded Alabama EPSCoR Graduate Research Scholars Program Fellowship. Congratulations, Liam!
- [04/2021] [Award] Trenton Howell was awarded NASA Space Grant Fellowship. Congratulations, Trent!
- [12/2020] [Award] Melanie Lim received the Sigma Xi Scientific Honor Society's Outstanding Poster Award. Congratulations, Melanie!
- [05/2020] [Paper] Our paper on Quality-Energy Optimal Memory Design has been accepted for publication in IEEE Transactions on Sustainable Computing.
- [04/2020] [Grant] Our project on Application-Specific Asynchronous Deep Learning IC Design has been recently funded by NSF (NSF OISE #1951488)
- [02/2020] [Grant] Our RET Site on Biologically-inspired Computing Systems has been recently funded by NSF (NSF CNS #1953544). For more about this project see: RET Project Website.
- [02/2020] [Paper] Our paper on Memory Optimization for Energy-Efficient Private Deep Learning has been accepted for publication in IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
- [01/2020] [Paper] Our paper on Mathematical Models of Optimal Video Memory Design has been accepted for publication in IEEE Trans. on Circuits and Systems for Video Technology.
- [06/2019] [Award] Best Paper Nomination, IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2019.
- [04/2019] [Award] Elsevier Reviewer Award, recognized by Elsevier’s Microelectronics Journal, 2019.
- [04/2019] [Paper] Our paper on Mitigating Nonlinear Effect of Memristive Synaptic Device for Neuromorphic Computing has been accepted for publication in IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
- [03/2019] [Paper] Our paper on Run-time Deep Learning Enhanced Fast Coding Unit Decision for High Efficiency Video Coding has been accepted for publication in Journal of Circuits, Systems, and Computers.
- [03/2019] [Paper] Our paper on Content-Adaptive Memory for Viewer-Aware Energy-Quality Scalable Mobile Video Systems has been accepted for publication in IEEE Access.
- [10/2018] [Grant] Our project on Viewer-Aware Energy-Quality Adaptive Mobile Video Storage was funded by NSF (NSF SHF #1855706)
Recent Publications (Read More)
- [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, accepted. (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.
Mailing address:
Na Gong Department of Electrical and Computer Engineering University of South Alabama 150 Student Services Drive, Shelby Hall 4120 Mobile, AL 36688 |
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