Overview
Hai (Helen) Li is the Marie Foote Reel E’46 Distinguished Professor and Department Chair of the Electrical and Computer Engineering Department at Duke University. She received her B.S. and M.S. from Tsinghua University and her Ph.D. from Purdue University. Her research interests include neuromorphic circuits and systems for brain-inspired computing, machine learning acceleration and trustworthy AI, conventional and emerging memory design and architecture, and software and hardware co-design. …
Current Appointments & Affiliations
Marie Foote Reel E'46 Distinguished Professor of Electrical and Computer Engineering
·
2024 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Professor in the Department of Electrical and Computer Engineering
·
2020 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Chair of the Department of Electrical and Computer Engineering
·
2022 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Professor of Computer Science
·
2020 - Present
Computer Science,
Trinity College of Arts & Sciences
Recent Publications
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research
Conference IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD · April 9, 2025 The application of Machine Learning (ML) in Electronic Design Automation (EDA) for Very Large-Scale Integration (VLSI) design has garnered significant research attention. Despite the requirement for extensive datasets to build effective ML models, most stu ... Full text CiteAdvancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain
Journal Article IEEE Transactions on Circuits and Systems I: Regular Papers · January 1, 2025 — Content-Addressable Memory (CAM) circuits, distinguished by their ability to accelerate data retrieval through a direct content-matching function, are increasingly crucial in the era of AI and increasing data computation. With the rise of AI models, hard ... Full text CiteA Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Journal Article IEEE Circuits and Systems Magazine · January 1, 2025 The rapid development of large language models (LLMs) has significantly transformed the field of artificial intelligence, demonstrating remarkable capabilities in natural language processing and moving towards multi-modal functionality. These models are in ... Full text CiteRecent Grants
Center of Neuromorphic Computing under Extreme Environments
ResearchPrincipal Investigator · Awarded by University of Southern California · 2024 - 2029DoD Center of Excellence in Advanced Computing and Software (COE-ACS)
ResearchCo-Principal Investigator · Awarded by Georgia State University · 2023 - 2028PARTNER: Neuro-Inspired AI for the Edge at UTSA (NAIAD)
ResearchPrincipal Investigator · Awarded by The University of Texas at San Antonio · 2023 - 2027View All Grants
Education, Training & Certifications
Purdue University ·
2004
Ph.D.