Drilling Optimization Professors in Global

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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
control optimization
numerical optimization methods
multi-objective optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
supply chain optimization
energy systems optimization
continuous optimization
discrete optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
multi-objective optimization
hybrid optimization algorithms
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial optimization
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Sam Noynaert
Texas A&M University United States of America
geothermal drilling
solutions to drilling-related problems
applied drilling research
physics-based drilling performance
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Mark Daskin
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
network flows optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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Mahdi Mehrtash
Johns Hopkins University United States of America
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power system optimization
global optimization
distributed optimization
stochastic optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
robust optimization
optimization models
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
robust optimization
stochastic optimization
integer optimization
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Yashar Pourrahimian
University of Alberta Canada
mining optimization
optimization
data-driven optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
dynamic optimization
numerical optimization
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Nathan Kallus
Cornell University Netherlands
optimization
robust optimization
stochastic optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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Yinyu Ye
Stanford University United States of America
dynamic optimization
continuous optimization
discrete optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
robust optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
differentiable optimization
large scale optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
stochastic optimization
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Yan Li
Texas A&M University United States of America
dynamic optimization
robust optimization
stochastic optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
simulation-based optimization
multi-objective optimization
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