Parallel Computation Optimization Professors in Global

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Professor

Kalyanmoy Deb

Michigan State University United States of America

computational optimization

process optimization

hybrid optimization algorithms

multi-objective optimization

meta-modeling optimization

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Professor

Martin Schulz

Technical University of Munich Germany

parallel distributed architectures

parallel programming paradigms

memory system optimization

power-aware parallel computing

tool support for parallel programming

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Professor

Vijaya Raghavendra Bollapragada

University of Texas at Austin United States of America

optimization algorithms

stochastic optimization

distributed optimization

constrained optimization

nonlinear optimization

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Professor

Albert Berahas

University of Michigan United States of America

machine learning optimization

stochastic optimization

distributed optimization

constrained optimization

nonlinear optimization

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Professor

John Reif

Duke University Singapore

parallel algorithms

optical computation

algebraic computation

quantum computation

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Professor

Shixuan Zhang

Texas A&M University United States of America

polynomial optimization

integer optimization

stochastic optimization

robust 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

John Chinneck

Carleton University Canada

concurrent algorithms

mixed integer optimization

nonlinear optimization

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Professor

Bartolomeo Stellato

Princeton University United States of America

mathematical optimization

large scale optimization

real-time embedded optimization

differentiable optimization

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Professor

Eric Kerrigan

Imperial College London United Kingdom

control optimization

multi-objective optimization

numerical optimization methods

dynamic optimization

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Professor

Mahdi Mehrtash

Johns Hopkins University United States of America

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stochastic optimization

power system optimization

distributed optimization

global optimization

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Professor

George Papavassilopoulos

University of Southern California United States of America

parallel algorithms

optimization algorithms

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Professor

Katherine Yelick

University of California, Berkeley United States of America

parallel algorithms

parallel programming languages

optimizing compilers

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Professor

Bryan Tolson

University of Waterloo Canada

parallel computing

multi-objective optimization

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Professor

John Jørgensen

Technical University of Denmark Denmark

process optimization

numerical optimization

dynamic optimization

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Professor

Slobodan Mitrovic

University of California, Davis United States of America

parallel computing

memory-constrained computation

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Professor

Cynthia Vinzant

University of Washington United States of America

mathematical optimization

linear optimization

combinatorial 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

Nathaniel Bastian

Pennsylvania State University United States of America

computational stochastic optimization

multiple objective optimization

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Professor

Malcolm Low

Singapore Institute of Technology Singapore

parallel distributed computing

combinatorial optimization

multi-objectives optimization

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Professor

Yashar Pourrahimian

University of Alberta Canada

mining optimization

data-driven optimization

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