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Junshan Zhang

Junshan ZhangJunshan Zhang received his Ph.D. degree from the School of ECE at Purdue University, in 2000. He joined the School of ECEE at Arizona State University in August 2000 and has been Fulton Chair Professor there since 2015. His research interests all in the general field of information networks and data science, including communication networks, edge computing and machine learning for IoT, mobile social networks, and smart grid. His current research focuses on fundamental problems in information networks and data science, including edge computing and machine learning in IoT and 5G, IoT data privacy/security, information theory, stochastic modeling, and control for smart grid. Prof. Zhang is a Fellow of the IEEE and a recipient of the ONR Young Investigator Award in 2005 and the NSF CAREER award in 2003. He received the IEEE Wireless Communication Technical Committee Recognition Award in 2016. His papers have won a few awards, including the Best Student Paper Award at WiOPT 2018, the Kenneth C. Sevcik Outstanding Student Paper Award at ACM SIGMETRICS/IFIP Performance 2016, the Best Paper Runner-up Award at IEEE INFOCOM 2009 and IEEE INFOCOM 2014, and the Best Paper Award at IEEE ICC 2008 and ICC 2017. Building on his research findings, he co-founded Smartiply Inc, a Fog Computing startup company delivering boosted network connectivity and embedded artificial intelligence. Prof. Zhang was TPC co-chair for a number of major conferences in communication networks, including IEEE INFOCOM 2012 and ACM MOBIHOC 2015. He was the general chair for ACM/IEEE SEC 2017, WiOPT 2016, and IEEE Communication Theory Workshop 2007. He was a Distinguished Lecturer of the IEEE Communications Society. He is currently serving as Editor-in-chief for IEEE Transactions on Wireless Communications and a senior editor for IEEE/ACM Transactions on Networking. Read More Read Less

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High Temperature Deformation and Fracture of Materials45 %
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Edge Intelligence in the Making38 %
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Continual and Reinforcement Learning for Edge AI38 %
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Edge Intelligence in the Making37 %
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Social Group Utility Maximization36 %
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Spatio-Temporal Data Analytics for Wind Energy Integration36 %
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Realizing the Metaverse14 % NR
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Simultaneously Transmitting and Reflecting Surfaces for Wireless Communications37 %
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Edge Intelligence in the Making
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Edge Intelligence in the Making
Publisher: Morgan & Claypool
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High Temperature Deformation and Fracture of Materials
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Accelerating the Adoption of IoT: A Fog Computing Paradigm to Build and Deploy Cost–Effective IoT So lutions10 % NR
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High Temperature Deformation and Fracture of Materials8 % NR
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Spatio-Temporal Data Analytics for Wind Energy IntegrationNR
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