Ellen Gethner

Ellen Gethner is a US mathematician and computer scientist specializing in graph theory who won the Mathematical Association of America's Chauvenet Prize[1] in 2002 with co-authors Stan Wagon and Brian Wick for their paper A stroll through the Gaussian Primes.[2]

Career

Gethner has two doctorates. She completed her first, a PhD in mathematics from Ohio State University, in 1992; her dissertation, Rational Period Functions For The Modular Group And Related Discrete Groups, was supervised by L. Alayne Parson. She completed a second PhD in computer science from the University of British Columbia in 2002, with a dissertation Computational Aspects of Escher Tilings supervised by Nick Pippenger and David G. Kirkpatrick.[3] Gethner is an associate professor in the Department of Computer Science and Engineering at University of Colorado Denver.[4]

Research

Gethner became interested in connections between geometry and art after a high school lesson using a kaleidoscope to turn a drawing into an Escher-like tessellation of the plane. This later inspired some of her research on wallpaper patterns and on converting music into visual patterns.[5]

gollark: I fear this.
gollark: Hmm, why does Calibre depend on `btrfs-progs`?
gollark: It is.
gollark: That might be for the best.
gollark: Reverse-engineer Python from this: https://github.com/osmarks/random-stuff/blob/master/code-guessing/list-sort.py

References

  1. "Chauvenet Prizes | Mathematical Association of America". Mathematical Association of America. Retrieved 2019-04-07.
  2. Gethner, Ellen; Wagon, Stan; Wick, Brian (1998). "A Stroll Through the Gaussian Primes". American Mathematical Monthly. 105 (4): 327–337. doi:10.2307/2589708. ISSN 0002-9890. JSTOR 2589708.
  3. Ellen Gethner at the Mathematics Genealogy Project
  4. "UC Denver faculty and staff directory".
  5. "Making art from math". Impact. Vol. 3 no. 1. University of Colorado Denver College of Engineering and Applied Science. 2014. pp. 6–8.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.