Session Speaker – Semiconductor Hardware and Materials
Connecting the Future: AI-Driven Edge Computing Leveraging Next-generation Networks
Dr. Yiran Chen
ACM/IEEE Fellow, Director of the NSF AI Institute for Edge Computing Leveraging the Next-generation Networks (Athena)
Duke University, Electrical and Computer Engineering
Cary, NC 27519
Yiran Chen received B.S (1998) and M.S. (2001) from Tsinghua University and Ph.D. (2005) from Purdue University. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor and then 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) and 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 (CEI). 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 a dozen international academic transactions/journals 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 seven best paper awards, one best poster award, and fourteen best paper nominations from international conferences and workshops. He received many professional awards and is the distinguished lecturer of IEEE CEDA (2018-2021). He is a Fellow of the ACM and IEEE and now serves as the chair of ACM SIGDA.
As the world is embracing the fifth generation of mobile networks (5G), mobile network infrastructures are facing a double whammy. On one hand, they have made bold performance promises, anticipating previously impossible mobile apps and services, and foretelling a mass deployment of Internet of Things (IoT) devices. On the other hand, their massive computation needs, conventionally carried by dedicated, specialized hardware at the base station, are projected to have to be met by multi-tenant datacenters at the edge and in the Cloud, as network operators are aggressively cutting cost, especially capital investment, and bracing for a future of cloud-native mobile networks. We seek to kindle and fuel revolution for wireless communications by tapping the ongoing revolution in Artificial Intelligence (AI). In doing so, we will develop AI-powered transformative technologies for next-generation mobile networks at the edge as well as new algorithmic and practical foundations of AI, such that the new functionalities, efficiency, scalability, security, privacy, and fairness of the AI solutions can be adopted in the next-generation wireless communications.