Statistical Optimization Professors in Global

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Professor

Albert Berahas

University of Michigan United States of America

stochastic optimization

machine learning optimization

distributed optimization

constrained optimization

nonlinear optimization

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Professor

Vijaya Raghavendra Bollapragada

University of Texas at Austin United States of America

stochastic optimization

optimization algorithms

distributed optimization

constrained optimization

nonlinear optimization

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Professor

Kalyanmoy Deb

Michigan State University United States of America

computational optimization

process optimization

multi-objective optimization

hybrid optimization algorithms

meta-modeling optimization

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Professor

Cynthia Vinzant

University of Washington United States of America

mathematical optimization

linear optimization

combinatorial optimization

discrete optimization

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Professor

Nathaniel Bastian

Pennsylvania State University United States of America

computational stochastic optimization

statistical computing

multiple objective optimization

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Professor

Eric Kerrigan

Imperial College London United Kingdom

numerical optimization methods

dynamic optimization

multi-objective optimization

control optimization

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Professor

Mahdi Mehrtash

Johns Hopkins University United States of America

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stochastic optimization

global optimization

distributed optimization

power system optimization

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Professor

Shixuan Zhang

Texas A&M University United States of America

stochastic optimization

polynomial optimization

integer optimization

robust optimization

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Professor

Marco Chiarandini

University of Southern Denmark Denmark

optimization algorithms

statistical analysis

combinatorial optimization

continuous optimization theory

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Professor

Dick Den Hertog

University of Amsterdam Netherlands

optimization in machine learning

linear optimization

robust optimization

nonlinear optimization

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Professor

Nazim Khan

University of Western Australia Australia

statistical computing

stochastic modelling

statistical model selection

computational statistics

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Professor

Merve Bodur

University of Edinburgh United Kingdom

combinatorial optimization

robust optimization

multiobjective optimization

stochastic programming

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Professor

Gareth Roberts

University of Warwick United Kingdom

statistical methodology

stochastic simulation

statistical inference

computational statistics

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Professor

Siva Maguluri

Georgia Institute of Technology United States of America

stochastic optimization

distributed optimization

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Professor

John Jørgensen

Technical University of Denmark Denmark

numerical optimization

process optimization

dynamic optimization

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Professor

Nathan Kallus

Cornell University Netherlands

stochastic optimization

robust optimization

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Professor

Ruiwei Jiang

University of Michigan United States of America

stochastic optimization

data-enabled stochastic optimization

discrete optimization

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Professor

Arkadi Nemirovski

Georgia Institute of Technology United States of America

stochastic optimization

continuous optimization

optimization theory

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Professor

Alexandre Jacquillat

Massachusetts Institute of Technology United States of America

stochastic optimization

large-scale optimization

integer optimization

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Professor

Hossein Hashemi Doulabi

Concordia University Canada

stochastic optimization

large-scale optimization

robust optimization

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Professor

Yashar Pourrahimian

University of Alberta Canada

data-driven optimization

mining optimization

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