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ORIE:  A Pacesetter for Advancing Operations Research Science

 Value function approximation

Image courtesy of Prof. Shane Henderson

Cornell Operations Research studies complex situations through:

  • analyzing and mining data
  • building large-scale analytic models, both stochastic and deterministic
  • creating algorithms for solving problems
  • executing large-scale simulation models

Discover the Research Areas of interest to ORIE Faculty and the breadth of OR research innovation at Cornell.

Table Index:

Links below lead to pages with descriptions of Faculty research.

1. Algorithms | 2. Applied Probability | 3. Data Mining | 4. Financial Engineering | 5. Infotech Modeling | 6. Networks | 7. Optimization | 8. Statistics | 9. Supply Chain

Table below marks individual's areas of research.


1
2 3
4 5
6 7 8 9
Robert Bland x




x

Eric Friedman x


x x x

Shane Henderson
x
x x x x

Peter Jackson







x
Adrian Lewis x




x

Mark Lewis
x


x

x
Jack Muckstadt







x
Philip Protter
x
x




James Renegar x




x

Sidney Resnick
x
x
x
x
Robin Roundy x






x
David Ruppert

x x


x
Paat Rusmevichientong

x
x


x
Gennady Samorodnitsky
x
x
x
x
David Shmoys x



x x
x
Bruce Turnbull






x
Michael Todd x x



x

Huseyin Topaloglu x




x
x
Leslie Trotter x



x x

Stefan Weber

x

x





David Williamson
x



x
x x

Dawn Woodard
x
x
x




x