Donald Geman

Donald J. Geman
Donald Geman (right), Fall 1983, Paris
Born (1943-09-20) September 20, 1943 (age 81)
Chicago, Illinois, United States
Alma materColumbia University
University of Illinois Urbana-Champaign
Northwestern University
RelativesStuart Geman (brother)
AwardsISI highly cited researcher
Scientific career
FieldsMathematics
Statistics
InstitutionsUniversity of Massachusetts
Johns Hopkins University
École Normale Supérieure de Cachan
Doctoral advisorMichael Marcus

Donald Jay Geman (born September 20, 1943) is an American applied mathematician and a leading researcher in the field of machine learning and pattern recognition. He and his brother, Stuart Geman, are very well known for proposing the Gibbs sampler and for the first proof of the convergence of the simulated annealing algorithm,[1] in an article that became a highly cited reference in engineering (over 21K citations according to Google Scholar, as of January 2018).[2] He is a professor at the Johns Hopkins University and simultaneously a visiting professor at École Normale Supérieure de Cachan.

  1. ^ S. Geman; D. Geman (1984). "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images". IEEE Transactions on Pattern Analysis and Machine Intelligence. 6 (6): 721–741. doi:10.1109/TPAMI.1984.4767596. PMID 22499653. S2CID 5837272.
  2. ^ Google Scholar: Stochastic Relaxation, Gibbs Distributions and the Bayesian Restoration.