Delay Estimation Optimization Professors in Global

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Professor

Kalyanmoy Deb

Michigan State University United States of America

process optimization

computational optimization

hybrid optimization algorithms

meta-modeling optimization

multi-objective optimization

evolutionary multi-objective optimization

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Professor

Albert Berahas

University of Michigan United States of America

machine learning optimization

distributed optimization

stochastic 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

distributed optimization

optimization algorithms

stochastic optimization

constrained optimization

nonlinear optimization

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Professor

Cynthia Vinzant

University of Washington United States of America

mathematical optimization

linear optimization

discrete optimization

combinatorial optimization

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Professor

Bartolomeo Stellato

Princeton University United States of America

mathematical optimization

differentiable optimization

real-time embedded optimization

large scale optimization

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Professor

Marina Epelman

University of Michigan United States of America

mathematical optimization

discrete optimization

integer optimization

optimization under uncertainty

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Professor

Eric Kerrigan

Imperial College London United Kingdom

dynamic optimization

control optimization

multi-objective optimization

numerical optimization methods

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Professor

John Chinneck

Carleton University Canada

mixed integer optimization

nonlinear optimization

feasibility optimization

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Professor

Siva Maguluri

Georgia Institute of Technology United States of America

distributed optimization

stochastic optimization

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Professor

John Jørgensen

Technical University of Denmark Denmark

process optimization

dynamic optimization

numerical optimization

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Professor

Ann-brith Strömberg

University of Gothenburg Sweden

mathematical optimization

simulation-based optimization

multi-objective optimization

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Professor

Mark Daskin

University of Michigan United States of America

mathematical optimization

discrete optimization

integer optimization

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Professor

Mahdi Mehrtash

Johns Hopkins University United States of America

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distributed optimization

stochastic optimization

power system optimization

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Professor

Yashar Pourrahimian

University of Alberta Canada

data-driven optimization

mining optimization

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Professor

Michael Patriksson

University of Gothenburg Sweden

mathematical optimization

combinatorial optimization

nonlinear optimization

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Professor

Ruiwei Jiang

University of Michigan United States of America

discrete optimization

stochastic optimization

data-enabled stochastic optimization

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Professor

Yinyu Ye

Stanford University United States of America

dynamic optimization

discrete optimization

continuous optimization

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Professor

Dick Den Hertog

University of Amsterdam Netherlands

linear optimization

optimization in machine learning

nonlinear optimization

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Professor

Shixuan Zhang

Texas A&M University United States of America

polynomial optimization

stochastic optimization

integer optimization

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Professor

Juergen Branke

Warwick Business School United Kingdom

simulation-based optimization

bayesian optimization

multi-objective optimization

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Professor

Chuan He

Linköping University Sweden

decentralized optimization

continuous optimization

large-scale optimization

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