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Hai "Helen" Li

Li

Clare Boothe Luce Professor of Electrical and Computer Engineering

Research Interests:

Neuromorphic computing systems
Machine learning acceleration and trustworthy AI
Emerging memory technologies, circuit, and architecture
Low power circuits and systems

Appointments and Affiliations

  • Professor in the Department of Electrical and Computer Engineering
  • Professor of Computer Science

Contact Information

  • Office Location: Rm130 Hudson Hall, 100 Science Dr., Durham, NC 27701
  • Office Phone: (919) 660-1373
  • Email Address: hai.li@duke.edu
  • Websites:

Education

  • Ph.D. Purdue University, 2004

Research Interests

Neuromorphic computing systems
Machine learning acceleration and trustworthy AI
Emerging memory technologies, circuit and architecture
Low power circuits and systems

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 292: Projects in Electrical and Computer Engineering
  • ECE 391: Projects in Electrical and Computer Engineering
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering

In the News

Representative Publications

  • Zhang, S; Li, HH; Schlichtmann, U, Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars, Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac (2021), pp. 107-113 [10.1145/3394885.3431523] [abs].
  • Liu, X; Mao, M; Bi, X; Li, H; Chen, Y, Exploring Applications of STT-RAM in GPU Architectures, Ieee Transactions on Circuits and Systems I: Regular Papers, vol 68 no. 1 (2021), pp. 238-249 [10.1109/TCSI.2020.3031895] [abs].
  • Li, Z; Li, B; Fan, Z; Li, H, RED: A ReRAM-Based Efficient Accelerator for Deconvolutional Computation, Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 39 no. 12 (2020), pp. 4736-4747 [10.1109/TCAD.2020.2981055] [abs].
  • Lan, Y; Nixon, KW; Guo, Q; Zhang, G; Xu, Y; Li, H; Chen, Y, FCDM: A Methodology Based on Sensor Pattern Noise Fingerprinting for Fast Confidence Detection to Adversarial Attacks, Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 39 no. 12 (2020), pp. 4791-4804 [10.1109/TCAD.2020.2969982] [abs].
  • Serrano-Gotarredona, T; Valle, M; Conti, F; Li, H, Introduction to the Special Issue on the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS 2020), Ieee Journal on Emerging and Selected Topics in Circuits and Systems, vol 10 no. 4 (2020), pp. 403-405 [10.1109/JETCAS.2020.3040581] [abs].