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Weili Wu

From Wikipedia, the free encyclopedia

Weili (Lily) Wu is a Chinese and American computer scientist, the director of the Data Communication and Data Management Laboratory at the University of Texas at Dallas, where she is a professor of computer science. The topics of her research include wireless sensor networks, influence maximization and rumor spreading in social networks, and the analysis of geospatial data.

Education and career

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Wu was a student at Liaoning Technical University, where she received a bachelor's degree in mechanical engineering in 1989, and then became a China Coal Research Academic in the Chinese Academy of Mine Science and Technology from 1989 to 1993.[1][2]

Next, she moved to the US, started her graduate studies at the University of Wisconsin, and earned a master's degree in economics there.[1] After shifting to computer science at the University of Minnesota, she received a master's degree in 1997 and completed her Ph.D. in 2002.[2] Her dissertation, Modeling spatial dependencies for data mining, was supervised by Shashi Shekhar.[3]

Wu joined the University of Texas at Dallas as an assistant professor of computer science in 2002. She was promoted to associate professor in 2008 and to full professor in 2013.[1]

Recognition

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Wu was named to the 2025 class of IEEE Fellows "for contributions to study of data communication and processing in wireless sensor networks".[4]

Personal life

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Wu is married to Ding-Zhu Du, also a professor of computer science at the University of Texas at Dallas. They met at the University of Minnesota, when Wu was a student there and Du was a professor.[5]

References

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  1. ^ a b c Dr. Lily Wu Inspires Students at the Second Grace Series Lecture, University of Texas at Dallas, May 4, 2015, retrieved 2024-12-28
  2. ^ a b "Wei Wu", Faculty profiles, University of Texas at Dallas, retrieved 2024-12-28
  3. ^ Modeling spatial dependencies for data mining (PhD thesis), University of Minnesota, 2002, retrieved 2024-12-28 – via ProQuest
  4. ^ IEEE Fellow Class of 2025 (PDF), IEEE, retrieved 2024-12-28
  5. ^ "Love & STEM", Engineering Magazine, University of Texas at Dallas, December 15, 2023, retrieved 2024-12-28
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