Biography:Angela Y. Wu

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Short description: American computer scientist

Angela Yuen Wu is an American computer scientist, a professor emerita at American University.[1] She is known for her research in computer vision and computational geometry, and especially for her highly cited publications on k-means clustering[KM] and nearest neighbor search.[NN] Other topics in her research include embeddings of tree-structured parallel systems into the hypercube internetwork topology[TH] and voxel-based object representations.[DS]

Education

Wu did her undergraduate studies at Villanova University, majoring in mathematics, and earned a master's degree in mathematics from Cornell University.[1] She completed her studies with a doctorate in computer science from the University of Maryland, College Park in 1978. Her dissertation, Cellular Graph Automata, was supervised by Azriel Rosenfeld.[1][2]

Professional service

Wu was the founder of the annual Vision Geometry Conference, and for many years served as the chair of the conference. She became president of Upsilon Pi Epsilon for the 2002–2003 term, and again for 2008–2009.[1]

Selected publications

TH. Wu, Angela Y. (1985), "Embedding of tree networks into hypercubes", Journal of Parallel and Distributed Computing 2 (3): 238–249, doi:10.1016/0743-7315(85)90026-7 
DS. "Digital surfaces", CVGIP: Graphical Models and Image Processing 53 (4): 305–312, July 1991, doi:10.1016/1049-9652(91)90034-h 
NN. Arya, Sunil (1998), "An optimal algorithm for approximate nearest neighbor searching in fixed dimensions", Journal of the ACM 45 (6): 891–923, doi:10.1145/293347.293348 
KM. Kanungo, T. (2002), "An efficient k-means clustering algorithm: analysis and implementation", IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (7): 881–892, doi:10.1109/tpami.2002.1017616 

References

  1. 1.0 1.1 1.2 1.3 Angela Wu, Department of Computer Science, American University, http://www.american.edu/cas/faculty/awu.cfm, retrieved 2018-02-11 
  2. Angela Y. Wu at the Mathematics Genealogy Project