J. Michael Harrison

Last updated
J. Michael Harrison
Born1944 (age 7677) [1]
Nationality American
Alma mater Lehigh University
Stanford University
Scientific career
Fields operations research
stochastic modelling
Institutions Stanford University
Thesis Queueing Models for Assembly-Like Systems  (1971)
Doctoral advisor Frederick Stanton Hillier [2]
Website faculty-gsb.stanford.edu/harrison/

John Michael Harrison (born 1944) is an American researcher, known for his contributions to the theory of operations research, in particular stochastic networks and financial engineering. He has authored two books and nearly 90 journal articles.

Contents

He obtained a B.S. in industrial engineering from Lehigh University (1966), a M.S. from Stanford University (1967), and a Ph.D. in operations research (1970) also from Stanford University.

He then worked at the same place, in the Stanford Graduate School of Business, as assistant professor, promoted to associate professor (1973) and full professor (1978). He is currently the Adams Distinguished Professor of Management at Stanford University.

His research focused on stochastic modelling for business and led to influential results in option theory (with David M. Kreps, 1980). Later he studied Brownian network models for logistics and models for optimizing telephone call centers. More recently he has studied dynamic pricing and revenue management.

In 2008, Harrison was elected a member of the National Academy of Engineering for fundamental contributions to stochastic networks and financial engineering.

Awards

Selected publications

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References

  1. Harrison, J. Michael (1990). Brownian Motion and Stochastic Flow Systems (PDF). p. iv. ISBN   0894644556. Archived from the original (PDF) on 2013-06-09. Retrieved 2012-08-13.
  2. J. Michael Harrison at the Mathematics Genealogy Project
  3. Harrison Elected to National Academy of Engineering Archived 2012-04-12 at the Wayback Machine from Stanford Graduate School of Business
  4. Fellows: Alphabetical List, Institute for Operations Research and the Management Sciences, archived from the original on 2019-05-10, retrieved 2019-10-09