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Professor in the Department of Electrical and Computer Engineering
Yiran Chen received B.S (1998) and M.S. (2001) from Tsinghua University and Ph.D. (2005) from Purdue University. After five years in the industry, he joined the University of Pittsburgh in 2010 as Assistant Professor and was promoted to Associate Professor with tenure in 2014, holding Bicentennial Alumni Faculty Fellow. He is now the Professor of the Department of Electrical and Computer Engineering at Duke University and serving as the director of the NSF AI Institute for Edge Computing Leveraging the Next-generation Networks (Athena), the NSF Industry-University Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC), and the co-director of Duke Center for Computational Evolutionary Intelligence (DCEI). His group focuses on the research of new memory and storage systems, machine learning and neuromorphic computing, and mobile computing systems. Dr. Chen has published 1 book and about 500 technical publications and has been granted 96 US patents. He has served as the associate editor of more than a dozen international academic periodicals and served on the technical and organization committees of more than 60 international conferences. He is now serving as the Editor-in-Chief of the IEEE Circuits and Systems Magazine. He received eight best paper awards, one best poster award, and sixteen best paper nominations from reputable international conferences and workshops such as MICRO, KDD, DATE, SEC, etc. He received numerous awards for his technical contributions and professional services such as the IEEE Computer Society Edward J. McCluskey Technical Achievement Award, ACM SIGDA Service Award, etc. He is a Fellow of the ACM and IEEE and now serves as the chair of ACM SIGDA.
Appointments and Affiliations
- Professor in the Department of Electrical and Computer Engineering
- Professor of Computer Science
- Office Location: 405 Wilkison Building, 534 Research Dr., Durham, NC 27705
- Office Phone: (919) 660-1372
- Email Address: firstname.lastname@example.org
- Ph.D. Purdue University, 2005
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
- Edward J. McCluskey Technical Achievement Award. Institute of Electrical and Electronics Engineers (IEEE). 2022
- ACM Fellow. ACM. 2020
- IEEE Fellow. IEEE. 2018
- COMPSCI 393: Research Independent Study
- ECE 590: Advanced Topics in Electrical and Computer Engineering
- ECE 661: Computer Engineering Machine Learning and Deep Neural Nets
- ECE 891: Internship
- ECE 899: Special Readings in Electrical Engineering
In the News
- Three Duke Faculty Elected AAAS Fellows (Jan 31, 2023 | Duke Today)
- NSF Launches Artificial Intelligence Research Center at Duke (Jul 29, 2021)
- Yiran Chen: Integrating Tomorrows Technology into Todays Devices (Jan 3, 2017)
- Hanson, E; Li, S; Qian, X; Li, HH; Chen, Y, DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs, Ieee Transactions on Computers, vol 72 no. 3 (2023), pp. 880-892 [10.1109/TC.2022.3184272] [abs].
- Chang, CC; Pan, J; Xie, Z; Hu, J; Chen, Y, Rethink before Releasing Your Model: ML Model Extraction Attack in EDA, Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac (2023), pp. 252-257 [10.1145/3566097.3567896] [abs].
- Yang, X; Li, S; Zheng, Q; Chen, Y, Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design, Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac (2023), pp. 618-623 [10.1145/3566097.3568358] [abs].
- Chang, CC; Pan, J; Xie, Z; Li, Y; Lin, Y; Hu, J; Chen, Y, Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction, Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac (2023), pp. 58-63 [10.1145/3566097.3567881] [abs].
- Wu, C; Yang, X; Chen, Y; Li, M, Photonic Bayesian Neural Network Using Programmed Optical Noises, Ieee Journal of Selected Topics in Quantum Electronics, vol 29 no. 2 (2023) [10.1109/JSTQE.2022.3217819] [abs].