Perioperative Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
multi-objective optimization
computational optimization
meta-modeling optimization
hybrid optimization algorithms
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
nonlinear optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
robust optimization
optimization in machine learning
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Ruth Misener
Imperial College London United Kingdom
computational optimization
data-driven optimization
robust optimization
optimization models
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
nonlinear optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
No active positions
stochastic optimization
power system optimization
distributed optimization
global optimization
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Zyad Carr
Yale University United States of America
perioperative medicine
perioperative care
postoperative care
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Thomas Hickey
Yale University United States of America
perioperative management
postoperative pain management
preoperative evaluation
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Sundara Rengasamy
Boston University United States of America
perioperative blood pressure management
perioperative betablocker
perioperative echocardiography
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Ann-brith Strömberg
University of Gothenburg Sweden
multi-objective optimization
mathematical optimization
simulation-based optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Juergen Branke
Warwick Business School United Kingdom
multi-objective optimization
simulation-based optimization
bayesian optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Eric Kerrigan
Imperial College London United Kingdom
multi-objective optimization
dynamic optimization
control optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Merve Bodur
University of Edinburgh United Kingdom
multiobjective optimization
robust optimization
inverse optimization
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Jeya Jeyakumar
University of New South Wales Australia
mathematical optimization
nonlinear optimization
robust optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Shixuan Zhang
Texas A&M University United States of America
polynomial optimization
stochastic optimization
robust optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
nonlinear optimization
robust optimization
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Hossein Hashemi Doulabi
Concordia University Canada
large-scale optimization
stochastic optimization
robust optimization
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