Browse history interactively ← Previous edit Next edit → Content deleted Content addedVisual Wikitext Inline
Revision as of 04:43, 17 December 2016
Leonidas John Guibas (Template:Lang-el ) is a professor of computer science at Stanford University , where he heads the geometric computation group and is a member of the computer graphics and artificial intelligence laboratories. Guibas was a student of Donald Knuth at Stanford, where he received his Ph.D. in 1976. He has worked for several industrial research laboratories, and joined the Stanford faculty in 1984. He was program chair for the ACM Symposium on Computational Geometry in 1996, is a Fellow of the ACM and the IEEE , and was awarded the ACM - AAAI Allen Newell Award for 2007 “for his pioneering contributions in applying algorithms to a wide range of computer science disciplines.“ He has Erdős number 2 due to his collaborations with Boris Aronov, Andrew Odlyzko , János Pach , Richard M. Pollack, Endre Szemerédi , and Frances Yao . The research contributions he is known for include finger trees , red-black trees , fractional cascading , the Guibas–Stolfi algorithm for Delaunay triangulation , an optimal data structure for point location , the quad-edge data structure for representing planar subdivisions, Metropolis light transport , and kinetic data structures for keeping track of objects in motion.
References
Leonidas John (Ioannis) Guibas at the Mathematics Genealogy Project .
Program Committees from the Symposium on Computational Geometry , Computational Geometry Steering Committee.
ACM Fellow award citation.
2012 Newly Elevated Fellows , IEEE, accessed 2011-12-10.
ACM/AAAI Allen Newell Award Recognizes Leonidas Guibas for Algorithms Advancing CS Fields , ACM, 2008; "Guibas Receives ACM/AAAI Award for Algorithm Development" , Dr. Dobb's , March 4, 2008 .
Erdős number project .
External links
Categories :
Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
**DISCLAIMER** We are not affiliated with Wikipedia, and Cloudflare.
The information presented on this site is for general informational purposes only and does not constitute medical advice.
You should always have a personal consultation with a healthcare professional before making changes to your diet, medication, or exercise routine.
AI helps with the correspondence in our chat.
We participate in an affiliate program. If you buy something through a link, we may earn a commission 💕
↑