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个人简介
Kui Wu entered the Special Class for the Gifted Young at Wuhan University, China, in 1985. He received the B.Sc. and the M.Sc. degrees in Computer Science from Wuhan University, China, in 1990 and 1993, respectively, and the Ph.D. degree in Computing Science from the University of Alberta, Canada, in 2002. He worked as a project manager at Haven Software Inc. from 1995 to 1998. He joined the Department of Computer Science at the University of Victoria, Canada, in 2002 and is currently a Professor there. He was a JSPS Fellow at the University of Tsukuba, Japan (2009), a Visiting Professor at the City University of Hong Kong (2009, 2019), and a Visiting Professor at the Norwegian University of Science and Technology (2008, 2019).
Prof. Wu's research focuses on network science, which is "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." Analyzing big data from a networked environment, my current work applies theories and techniques of network science, including graph theory, machine learning, statistical inference, and data mining, to solve real-world problems. His research contributions can be grouped into the following themes:
* Monitoring and information processing in complex networks: sensor networks, smart grid, online social networks
* Theoretical foundation of computer networks: stochastic modeling, network tomography, network calculus, dependence modeling
* Computational sustainability: green computing and computing for green to be more specific
* Quality of service (QoS) for cloud computing and content delivery networks (CDN)
* Security and anomaly detection: computer networks, IoT systems
研究兴趣
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IEEE Trans. Netw. Sci. Eng.no. 4 (2024): 3585-3597
IEEE Transactions on Mobile Computingno. 99 (2024): 1-13
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMSno. 6 (2024): 707-721
ACM TRANSACTIONS ON PRIVACY AND SECURITYno. 1 (2024): 12:1-12:32
Swarm and Evolutionary Computation (2024): 101575
CRYSTENGCOMMno. 5 (2024): 697-703
IEEE/ACM Transactions on Networkingno. 99 (2024): 1-16
High-Confidence Computingpp.100225, (2024)
Digital Signal Processingno. C (2024)
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