Special Section on Emerging Topics in Hardware Computing Systems Security

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Emerging Topics in Computing Pub Date : 2024-06-10 DOI:10.1109/TETC.2024.3394668
Gang Qu;Debdeep Mukhopadhyay;Nele Mentens;Weiqiang Liu
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Abstract

Gang Qu received the BS degree in mathematics from the University of Science and Technology of China (USTC), China, and the PhD degree in computer science from the University of California, Los Angeles (UCLA), USA. He is currently a professor with the Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA, where he leads the Maryland Embedded Systems and Hardware Security Lab (MeshSec Lab) and the Wireless Sensor Laboratory. His research interests include hardware security and trust, artificial intelligence, security in vehicular systems, and the Internet of Things. He is also known for his work on wireless sensor networks, low power and energy efficient embedded system design.
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硬件计算系统安全新专题特辑
曲刚获得中国科学技术大学数学学士学位和美国加州大学洛杉矶分校计算机科学博士学位。他目前是美国马里兰大学学院帕克分校电气与计算机工程系教授,领导马里兰嵌入式系统与硬件安全实验室(MeshSec 实验室)和无线传感器实验室。他的研究兴趣包括硬件安全与信任、人工智能、车辆系统安全和物联网。他还因在无线传感器网络、低功耗和高能效嵌入式系统设计方面的工作而闻名。
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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Table of Contents Front Cover IEEE Transactions on Emerging Topics in Computing Information for Authors Special Section on Emerging Social Computing DALTON - Deep Local Learning in SNNs via local Weights and Surrogate-Derivative Transfer
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