Age, Biography and Wiki

Godfried Toussaint was born on 1944 in New York, is a computer. Discover Godfried Toussaint's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 75 years old?

Popular As N/A
Occupation N/A
Age 75 years old
Zodiac Sign
Born 1944, 1944
Birthday 1944
Birthplace N/A
Date of death July 2019
Died Place N/A
Nationality United States

We recommend you to check the complete list of Famous People born on 1944. He is a member of famous computer with the age 75 years old group.

Godfried Toussaint Height, Weight & Measurements

At 75 years old, Godfried Toussaint height not available right now. We will update Godfried Toussaint's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
Body Measurements Not Available
Eye Color Not Available
Hair Color Not Available

Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
Parents Not Available
Wife Not Available
Sibling Not Available
Children Not Available

Godfried Toussaint Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is Godfried Toussaint worth at the age of 75 years old? Godfried Toussaint’s income source is mostly from being a successful computer. He is from United States. We have estimated Godfried Toussaint's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
House Not Available
Cars Not Available
Source of Income computer

Godfried Toussaint Social Network

Instagram
Linkedin
Twitter
Facebook
Wikipedia
Imdb

Timeline

2019

He died in July 2019 in Tokyo, Japan. He was in Tokyo to present his work on "The Levenshtein distance as a measure of mirror symmetry and homogeneity for binary digital patterns" in a special session titled "Design & Computation in Geovisualization" convened by the International Cartographic Association Commission on Visual Analytics at the 2019 International Cartographic Conference.

2018

In 2018 he was awarded a Lifetime Achievement Award by the Canadian Association of Computer Science. In 1978 he was the recipient of the Pattern Recognition Society's Best Paper of the Year Award. In 1985 he was awarded a two-year Izaak Walton Killam Senior Research Fellowship by the Canada Council for the Arts. In 1988 he received an Advanced Systems Institute Fellowship from the British Columbia Advanced Systems Institute. In 1995 he was given the Vice-Chancellor's Research Best-Practice Fellowship by the University of Newcastle in Australia. In 1996 he won the Canadian Image Processing and Pattern Recognition Society's Service Award for his "outstanding contribution to research and education in Computational Geometry." In May 2001 he was honored with the David Thomson Award for excellence in graduate supervision and teaching at McGill University. In 2009 he won a Radcliffe Fellowship from the Radcliffe Institute for Advanced Study at Harvard University to carry out a research project on the phylogenetics of the musical rhythms of the world.

2005

He spent a year in the Music Department at Harvard University doing research on musical similarity, a branch of music cognition. From 2005 he was also a researcher at the Centre for Interdisciplinary Research in Music Media and Technology in the Schulich School of Music at McGill University. He applied computational geometric and discrete mathematics methods to the analysis of symbolically represented music in general, and rhythm in particular. In 2004 he discovered that the Euclidean algorithm for computing the greatest common divisor of two numbers implicitly generates almost all the most important traditional rhythms of the world. His application of mathematical methods for tracing the roots of Flamenco music were the focus of two Canadian television programs.

1980

Along with Selim Akl, he was an author and namesake of the efficient "Akl–Toussaint algorithm" for the construction of the convex hull of a planar point set. This algorithm exhibits a computational complexity with expected value linear in the size of the input. In 1980 he introduced the relative neighborhood graph (RNG) to the fields of pattern recognition and machine learning, and showed that it contained the minimum spanning tree, and was a subgraph of the Delaunay triangulation. Three other well known proximity graphs are the nearest neighbor graph, the Urquhart graph, and the Gabriel graph. The first is contained in the minimum spanning tree, and the Urquhart graph contains the RNG, and is contained in the Delaunay triangulation. Since all these graphs are nested together they are referred to as the Toussaint hierarchy.

1972

He joined the McGill University faculty in 1972, and became a professor emeritus there in 2007. After retiring from McGill, he became a professor of computer science and head of the computer science department at New York University Abu Dhabi.

1944

Godfried Theodore Patrick Toussaint (1944 – July 2019) was a Canadian computer scientist, a professor of computer science, and the head of the Computer Science Program at New York University Abu Dhabi (NYUAD) in Abu Dhabi, United Arab Emirates. He is considered to be the father of computational geometry in Canada. He did research on various aspects of computational geometry, discrete geometry, and their applications: pattern recognition (k-nearest neighbor algorithm, cluster analysis), motion planning, visualization (computer graphics), knot theory (stuck unknot problem), linkage (mechanical) reconfiguration, the art gallery problem, polygon triangulation, the largest empty circle problem, unimodality (unimodal function), and others. Other interests included meander (art), compass and straightedge constructions, instance-based learning, music information retrieval, and computational music theory.

Toussaint was born in 1944 in Belgium. After graduating in 1968 from the University of Tulsa, he went to the University of British Columbia for graduate study, completing his Ph.D. there in 1972. His dissertation, Feature Evaluation Criteria and Contextual Decoding Algorithms in Statistical Pattern Recognition, was supervised by Robert W. Donaldson.