Hai "Helen" Li

Hai

Associate Professor in the Department of Electrical and Computer Engineering

Research Interests:
Brain-inspired computing systems, neuromorphic design
Memory design and architecture based on conventional and emerging technologies
Device/circuit/architecture co-design for low power and high performance

Appointments and Affiliations

  • Associate Professor in the Department of Electrical and Computer Engineering

Contact Information

  • Email Address: hai.li@duke.edu

Education

  • Ph.D. Purdue University, 2004

Research Interests

Research Interests: Brain-inspired computing systems and neuromorphic design, memory design and architecture based on conventional and emerging technologies, and device/circuit/architecture co-design for low power and high performance.

Awards, Honors, and Distinctions

  • Best Paper Award for the paper titled “Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses”. Asia and South Pacific Design Automation Conference (ASPDAC). 2017
  • Fulton C. Noss Faculty Fellow. University of Pittsburgh. 2016
  • Best Paper Award for the paper titled “Quantitative Modeling of Racetrack Memory - A Tradeoff among Area, Performance, and Power”. Asia and South Pacific Design Automation Conference (ASPDAC). 2015
  • Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2015
  • Best Paper Award for the paper titled “A Weighted Sensing Scheme for ReRAM-based Cross-point Memory Array”. IEEE Computer Society Annual Symposium on VLSI (ISVLSI). 2014
  • Best Paper Award for the paper titled “Coordinating Prefetching and STT-RAM based Last-level Cache Management for Multicore Systems”. Proceedings of the 23rd ACM International Conference on Great Lakes Symposium on VLSI (GLSVLSI). 2013
  • Air Force Visiting Faculty Research Program (VFRP) Fellowship. AFRL/RIB. 2013
  • DARPA Young Faculty Award. Defense Advanced Research Projects Agency (DARPA). 2013
  • NSF Career Award. National Science Foundation (NSF). 2012
  • Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2011
  • Best Paper Award for the paper titled “Combined Magnetic- and Circuit-level Enhancements for the Nondestructive Self-Reference Scheme of STT-RAM”. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED). 2010
  • Best Paper Award for the paper titled “Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM)”. the 9th International Symposium on Quality Electronic Design (ISQED). 2008

Courses Taught

  • ECE 590: Advanced Topics in Electrical and Computer Engineering

In the News

Representative Publications

  • Song, C; Liu, B; Liu, C; Li, H; Chen, Y, Design techniques of eNVM-enabled neuromorphic computing systems, Proceedings of the 34th IEEE International Conference on Computer Design, ICCD 2016 (2016), pp. 674-677 [10.1109/ICCD.2016.7753356] [abs].
  • Liu, C; Chen, Y; Li, H, Neural processor design enabled by memristor technology, 2016 IEEE International Conference on Rebooting Computing, ICRC 2016 - Conference Proceedings (2016) [10.1109/ICRC.2016.7738693] [abs].
  • Yang, C; Liu, B; Li, H; Chen, Y; Wen, W; Barnell, M; Wu, Q; Rajendran, J, Security of neuromorphic computing: Thwarting learning attacks using memristor's obsolescence effect, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, vol 07-10-November-2016 (2016) [10.1145/2966986.2967074] [abs].
  • Yang, C; Wu, C; Li, H; Chen, Y; Barnell, M; Wu, Q, Security challenges in smart surveillance systems and the solutions based on emerging nano-devices, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, vol 07-10-November-2016 (2016) [10.1145/2966986.2980092] [abs].
  • Li, S; Wang, Y; Wen, W; Wang, Y; Chen, Y; Li, H, A data locality-aware design framework for reconfigurable sparse matrix-vector multiplication kernel, IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, vol 07-10-November-2016 (2016) [10.1145/2966986.2966987] [abs].