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Ph.D. Yiran Chen

Duke University · Electrical Engineering
Emerging memory storage technologies Embedded systems CPS edge computing mobile applications Neuromorphic computing deep learning system security Low power circuit system

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Yiran Chen is the John Cocke Distinguished Professor in the Department of Electrical and Computer Engineering at Duke University. His research interests include emerging memory and storage technologies, embedded systems, CPS, edge computing, and mobile applications, as well as neuromorphic computing, deep learning, system security, and low power circuit and system design. He is also involved in the development of AI technologies and their applications. Dr. Chen's work spans a wide range of topics in computer engineering and artificial intelligence, with a focus on advancing the state of the art in these fields.


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Yiran Chen is the John Cocke Distinguished Professor of Electrical and Computer Engineering at Duke University, specializing in memory, neuromorphic systems, and machine learning. His research explores advanced memory technologies, such as MRAM and ReRAM, for high-performance computing applications. Chen's work also includes neuromorphic computing systems inspired by biological neural networks, aiming to improve energy efficiency and computational capabilities. Additionally, he investigates distributed machine learning systems, focusing on communication optimization and security in federated learning. His contributions span both hardware design and algorithm development, addressing challenges in deep learning and secure data processing.

Source: google_scholar · 93 words
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