Yiran Chen
Yiran Chen is a Duke computer engineer whose work connects emerging memory with AI at the edge. After earning degrees at Tsinghua University and Purdue, he spent five years in industry and held faculty roles at Pittsburgh before joining Duke. Duke awarded him its Stansell Family Distinguished Research Award in 2022, and the National Academy of Inventors elected him a Fellow in 2023. As of October 2026, he directs Duke's Institute of AI Engineering and NSF Athena, and his team is developing neuromorphic processors for AI-powered robots.
- Now at
- NSF AI Institute for Edge Computing Leveraging Next-generation Networks (Athena)
- Born
- 1976
- Works
- 863
- Badges
Years link to their sources. Publication numbers from OpenAlex, as of 22 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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1998–2005
Tsinghua and Purdue degrees
He earns a B.S. in electronic engineering at Tsinghua University in 1998 and an M.S. there in 2001, then completes a Ph.D. in electrical engineering at Purdue in 2005.
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2005–2014
Industry and Pittsburgh faculty
After five years in industry, he joins the University of Pittsburgh as an assistant professor in 2010 and earns tenure as an associate professor in 2014.
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2019
An emerging memory review
In 2019, he coauthors “Reshaping Future Computing Systems with Emerging Nonvolatile Memory Technologies,” a review of emerging memory uses in future memory hierarchies and computing systems.
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By 2021
Professor and Athena director
By 2021, he is a professor in Duke's Department of Electrical and Computer Engineering and directs the NSF AI Institute for Edge Computing Leveraging Next-generation Networks (Athena).
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2022
A Duke research award
He receives Duke's Stansell Family Distinguished Research Award in 2022.
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2023
National Academy of Inventors fellowship
In 2023, he is elected a Fellow of the National Academy of Inventors.
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2025
DOE neuromorphic project
In 2025, he receives a five-year, nearly $11 million U.S. Department of Energy award for neuromorphic computing. The collaboration aims to create hardware neurons that mimic biological brains.
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As of October 2026
Duke AI institute leadership
He is Duke's John Cocke Distinguished Professor of Electrical and Computer Engineering and directs the Institute of AI Engineering and NSF Athena. In July 2026, he leads a team selected for the DOE Genesis Mission to develop neuromorphic processors for AI-powered robots. Athena collaborators develop cloud-independent AI agents for robots, drones and sensors.
Career
- NowDuke UniversityJohn Cocke Distinguished Professor
- NowNSF AI Institute for Edge Computing Leveraging Next-generation Networks (Athena)Director
- 2010–2014University of PittsburghAssistant Professor, Associate Professor
Education
- 2005Purdue UniversityPh.D.
- 2001Tsinghua UniversityM.S.
- 1998Tsinghua UniversityB.S.
Sources and credits
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- Yiran Chen | Duke Pratt School of Engineering
- Yiran Chen - Elmore Family School of Electrical and Computer Engineering - Purdue University
- Yiran Chen | IEEE CEDA
- Scholars@Duke publication: Reshaping Future Computing Systems with Emerging Nonvolatile Memory Technologies
- Chen, Kim Elected Fellows of the National Academy of Inventors | Duke Pratt School of Engineering
- Building Computers That Think Like Brains | Duke Pratt School of Engineering
- Four Duke Teams Selected for New Federal AI Research Program | Duke Today
- Building Powerful, Efficient and Reliable AI at the Edge | Duke Pratt School of Engineering

