Manifold Optimization Professors in Global

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Professor

Kalyanmoy Deb

Michigan State University United States of America

multi-objective optimization

computational optimization

process optimization

hybrid optimization algorithms

meta-modeling optimization

evolutionary multi-objective optimization

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Professor

Vijaya Raghavendra Bollapragada

University of Texas at Austin United States of America

optimization algorithms

stochastic optimization

distributed optimization

nonlinear optimization

constrained optimization

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Professor

Albert Berahas

University of Michigan United States of America

machine learning optimization

stochastic optimization

distributed optimization

nonlinear optimization

constrained 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

Eric Kerrigan

Imperial College London United Kingdom

multi-objective optimization

control optimization

dynamic optimization

numerical optimization methods

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Professor

Michael Patriksson

University of Gothenburg Sweden

mathematical optimization

convex optimization

nonlinear optimization

combinatorial optimization

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Professor

John Chinneck

Carleton University Canada

nonlinear optimization

mixed integer optimization

feasibility optimization

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Professor

Mark Daskin

University of Michigan United States of America

mathematical optimization

integer optimization

discrete optimization

network flows optimization

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Professor

Arjan Habraken

Eindhoven University of Technology Belgium

topology optimization

adaptive optimization

form optimization

section 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

Dick Den Hertog

University of Amsterdam Netherlands

linear optimization

optimization in machine learning

nonlinear optimization

robust optimization

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Professor

Marina Epelman

University of Michigan United States of America

mathematical optimization

integer optimization

discrete optimization

optimization under uncertainty

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Professor

Shixuan Zhang

Texas A&M University United States of America

polynomial optimization

stochastic optimization

integer optimization

robust optimization

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Professor

Merve Bodur

University of Edinburgh United Kingdom

multiobjective optimization

inverse optimization

robust optimization

combinatorial optimization

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Professor

Mahdi Mehrtash

Johns Hopkins University United States of America

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stochastic optimization

distributed optimization

power system optimization

global optimization

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Professor

Mehrdad Mahdavi

Pennsylvania State University United States of America

convex optimization

distributed optimization

large-scale optimization

non-convex optimization

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Professor

Yaoliang Yu

University of Waterloo Canada

optimization algorithms

convex optimization

non-convex optimization

robust stochastic optimization

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Professor

Ann-brith Strömberg

University of Gothenburg Sweden

mathematical optimization

multi-objective optimization

simulation-based 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

Yashar Pourrahimian

University of Alberta Canada

mining optimization

data-driven optimization

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