Yiran Chen


John Cocke Distinguished Professor of Electrical and Computer Engineering

Yiran Chen received his B.S. in 1998 and M.S. in 2001 from Tsinghua University, and his Ph.D. in 2005 from Purdue University. In 2010, he joined the University of Pittsburgh as an Assistant Professor. He was promoted to Associate Professor with tenure in 2014, while holding the Bicentennial Alumni Faculty Fellowship. He is currently the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University. He is the director of the National Science Foundation (NSF) AI Institute for Edge Computing Leveraging Next-generation Networks (Athena), one of the 25 National AI Institutes in the United States, as well as the NSF Industry-University Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC), and co-director of the Duke Center for Computational Evolutionary Intelligence (DCEI). His group's research focuses on new memory and storage systems, machine learning and neuromorphic computing systems, and mobile computing. He has supervised, or is currently supervising, more than 60 Ph.D. students and 4 PostDocs throughout his academic career. Twelve of his Ph.D. students have joined faculties at universities in the United States, Turkey, Hong Kong, and China, including four NSF CAREER Awardees.

Chen has published one book, more than 600 technical publications, and has been granted 96 US patents. He has been honored with 15 paper awards, including two test-of-time awards, as well as 15 best paper nominations from international journals and conferences. He has received numerous awards for his technical contributions and professional services and is one of only three individuals to have received Technical Achievement Awards from both the IEEE Circuits and Systems Society and the Computer Society, with histories of 75 and 78 years, respectively. He has been a distinguished lecturer for the IEEE Council on Electronic Design Automation (CEDA) and Circuits and Systems Society (CASS), a distinguished visitor of the IEEE Computer Society (CS). He is a Fellow of the AAAS, ACM, IEEE, and NAI, and currently serves as the chair of ACM SIGDA. He was the Editor-in-Chief of the IEEE Circuits and Systems Magazine from 2020 to 2023 and is the inaugural Editor-in-Chief of the IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI).

Chen has served as Chairman of the Board, Independent Director, and in other consultancy roles for several startups. Beyond his academic and professional pursuits, Chen is a fervent advocate for the responsible use of AI technologies and champions academic belonging, openness, freedom, and equality. He is a founding member of the steering committee of the Academic Alliance on AI Policy (AAAIP) and a member of the Asian American Scholar Forum (AASF).

Appointments and Affiliations

  • John Cocke Distinguished Professor of Electrical and Computer Engineering
  • Professor in the Department of Electrical and Computer Engineering
  • Professor of Computer Science

Contact Information


  • Ph.D. Purdue University, 2005

Research Interests

Emerging memory and storage technologies

Embedded systems, CPS, edge computing, and mobile applications

Neuromorphic computing, deep learning and system security

Low power circuit and system

Awards, Honors, and Distinctions

  • Dean's Award for Excellence in Mentoring. Duke University. 2024
  • Distinguished Visitor. IEEE Computer Society . 2024
  • Fellow (NAI). National Academy of Inventors. 2023
  • Distinguished Lecturer. IEEE Circuits and Systems Society. 2023
  • Charles A. Desoer Technical Achievement Award. Institute of Electrical and Electronics Engineers (IEEE), Circuits and Systems Society. 2023
  • Edward J. McCluskey Technical Achievement Award. Institute of Electrical and Electronics Engineers (IEEE), Computer Society. 2022
  • AAAS Fellow. American Association for the Advancement of Science. 2022
  • Stansell Family Distinguished Research Award. Pratt School of Engineering, Duke University. 2022
  • Clarivate Highly Cited Researchers. Clarivate. 2021
  • Outstanding Electrical and Computer Engineer (OECE) Award. Purdue’s School of Electrical and Computer Engineering. 2021
  • HPCA Hall of Fame. IEEE Computer Society, Technical Committee on Computer Architecture. 2020
  • ACM Fellow. Association for Computing Machinery. 2020
  • IEEE Fellow. Institute of Electrical and Electronics Engineers. 2018
  • Distinguished Lecturer. IEEE Council on Electronic Design Automation. 2018
  • Outstanding New Faculty Award . ACM’s Special Interest Group on Design Automation (SIGDA). 2014
  • National Science Foundation CAREER Awards - Multiple Sciences. National Science Foundation (NSF). 2013

Courses Taught

  • ECE 899: Special Readings in Electrical Engineering
  • ECE 891: Internship
  • ECE 661: Computer Engineering Machine Learning and Deep Neural Nets
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 392: Projects in Electrical and Computer Engineering
  • COMPSCI 393: Research Independent Study

In the News

Representative Publications

  • Lyu, B; Yang, Y; Cao, Y; Shi, T; Chen, Y; Huang, T; Wen, S, A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures., Neural networks : the official journal of the International Neural Network Society, vol 175 (2024) [10.1016/j.neunet.2024.106312] [abs].
  • Pan, J; Lin, X; Xu, J; Chen, Y; Zhuo, C, Lithography Hotspot Detection Based on Heterogeneous Federated Learning With Local Adaptation and Feature Selection, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol 43 no. 5 (2024), pp. 1484-1496 [10.1109/TCAD.2023.3332841] [abs].
  • Li, S; Wang, Y; Hanson, E; Chang, A; Seok Ki, Y; Li, H; Chen, Y, NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models, IEEE Transactions on Computers, vol 73 no. 5 (2024), pp. 1248-1261 [10.1109/TC.2024.3365939] [abs].
  • Wang, B; Lin, M; Zhou, T; Zhou, P; Li, A; Pang, M; Li, H; Chen, Y, Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function, WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining (2024), pp. 693-701 [10.1145/3616855.3635826] [abs].
  • Yang, X; Wang, Z; Hu, XS; Kim, CH; Yu, S; Pajic, M; Manohar, R; Chen, Y; Li, HH, Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design, IEEE Transactions on Circuits and Systems II: Express Briefs, vol 71 no. 3 (2024), pp. 1683-1689 [10.1109/TCSII.2023.3336251] [abs].