Stuart Geman
Stuart Alan Geman (born March 23, 1949 in Chicago ) is an American mathematician.
Geman studied physics from 1967 at the University of Michigan with a bachelor's degree in 1971, at Dartmouth College (and Dartmouth Medical School) with a master's degree in physiology in 1973 and received his doctorate in 1977 with Herman Chernoff at the Massachusetts Institute of Technology ( Stochastic Differential Equations with Smooth Mixing Processes ). After that he was a professor at Brown University .
He deals with machine learning, computer vision, pattern recognition, image analysis, various stochastic methods (such as Markov's random fields) and the investigation of random matrices, neural representations and statistical analysis of neural data, rare events in financial markets and statistical analysis of images of the natural environment (scale invariance).
With his brother Donald Geman he introduced Gibbs sampling in 1984 (Bayesian methods in image analysis).
He is a Fellow of the American Mathematical Society and the National Academy of Sciences (2011). He became a Fellow of the Institute of Mathematical Statistics in 1984 and received the Presidential Young Investigator Award. In 1986 he was invited to speak at the International Congress of Mathematicians (with C. Graffigne: Markov random field image models and their application to Computer vision ). He is one of the ISI Highly Cited Researchers.
Fonts
- D. Geman, S. Geman: Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 6, 1984, pp. 721-741
Web links
Individual evidence
- ↑ Birth and career dates for American Men and Women of Science , Thomson Gale 2004
- ↑ Stuart Geman in the Mathematics Genealogy Project (English)
| personal data | |
|---|---|
| SURNAME | Geman, Stuart |
| ALTERNATIVE NAMES | Geman, Stuart Alan |
| BRIEF DESCRIPTION | American mathematician |
| DATE OF BIRTH | March 23, 1949 |
| PLACE OF BIRTH | Chicago |