Value Based 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

derivative-free 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

evolutionary multi-objective optimization

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Professor

Bartolomeo Stellato

Princeton University United States of America

mathematical optimization

large scale optimization

differentiable optimization

real-time embedded optimization

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Professor

Shixuan Zhang

Texas A&M University United States of America

stochastic optimization

robust optimization

polynomial optimization

integer optimization

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Professor

Dick Den Hertog

University of Amsterdam Netherlands

robust optimization

optimization in machine learning

linear optimization

nonlinear 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

Mahdi Mehrtash

Johns Hopkins University United States of America

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stochastic optimization

distributed optimization

global optimization

power system optimization

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Professor

Eric Kerrigan

Imperial College London United Kingdom

multi-objective optimization

dynamic optimization

control optimization

numerical optimization methods

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Professor

Merve Bodur

University of Edinburgh United Kingdom

robust optimization

multiobjective optimization

combinatorial optimization

inverse optimization

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Professor

Ann-brith Strömberg

University of Gothenburg Sweden

simulation-based optimization

mathematical optimization

multi-objective optimization

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Professor

Nathan Kallus

Cornell University Netherlands

stochastic optimization

robust optimization

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Professor

Juergen Branke

Warwick Business School United Kingdom

simulation-based optimization

multi-objective optimization

bayesian optimization

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Professor

Reem Khir

Purdue University United States of America

constrained optimization

robust stochastic optimization

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Professor

Yashar Pourrahimian

University of Alberta Canada

data-driven optimization

mining optimization

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Professor

Chaoyue Zhao

University of Washington United States of America

data-driven optimization

stochastic optimization

robust optimization

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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

process optimization

numerical optimization

dynamic optimization

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Professor

Hossein Hashemi Doulabi

Concordia University Canada

large-scale optimization

stochastic optimization

robust 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

Jeya Jeyakumar

University of New South Wales Australia

mathematical optimization

robust optimization

nonlinear optimization

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