Yuanyuan Yang

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Yuanyuan Yang is a Chinese-American computer scientist whose interests include parallel and distributed computing, wireless sensor networks, and cloud computing. She is SUNY Distinguished Professor of Electrical & Computer Engineering and Computer Science at Stony Brook University, Associate Dean for Diversity and Academic Affairs in the Stony Brook College of Engineering and Applied Sciences. [1] From 2018 - 2022, she was a program director for software and hardware foundations and principles and practice of scalable systems at the National Science Foundation. [2] [3]

Contents

Education and career

Yang earned bachelor's and master's degrees in computer science and engineering at Tsinghua University in 1982 and 1984, respectively. She completed a Ph.D. in computer science at Johns Hopkins University in 1992. [4] She moved to Stony Brook in 1999, from a previous faculty position at the University of Vermont. [1]

Recognition

Yang was named an IEEE Fellow in 2009 "for contributions to parallel and distributed computing systems". [5] She was named SUNY Distinguished Professor in 2016. [6] In 2022 she won the Outstanding Service Award of the IEEE Computer Society Technical Committee on Distributed Processing. [7]

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References

  1. 1 2 Yuanyuan Yang's biographical sketch , retrieved 2021-02-22
  2. "Yuanyuan Yang", Staff Directory, National Science Foundation, retrieved 2021-02-22
  3. "News Archives | Chapter of the National Academy of Inventors". www.stonybrook.edu. Retrieved 2024-03-15.
  4. Author biography from Gong, Dawei; Yang, Yuanyuan; Pan, Zhexi (September 2013), "Energy-efficient clustering in lossy wireless sensor networks", Journal of Parallel and Distributed Computing, 73 (9): 1323–1336, doi:10.1016/j.jpdc.2013.02.012
  5. "Fellows from the IEEE Computer Society", IEEE Fellows directory, IEEE, retrieved 2021-02-22
  6. "Class of 2016", The State University of New York Distinguished Academy, State University of New York System, retrieved 2021-02-22
  7. "TCDP Award Recipients", Technical Committee on Distributed Processing, IEEE Computer Society, retrieved 2022-07-12