Large Scale Optimization Professors in Global

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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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Nathaniel Bastian
Pennsylvania State University United States of America
optimization
multiple objective optimization
computational stochastic optimization
big data analytics
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Sham Kakade
Harvard University United States of America
scalable optimization algorithms
large-scale learning systems
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
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Ioannis Lestas
University of Cambridge United Kingdom
large scale networks
optimization of power systems
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John Jørgensen
Technical University of Denmark Denmark
numerical optimization
process optimization
dynamic optimization
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Martin Grunow
Technical University of Munich Germany
stochastic optimization
production systems optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
system-level optimization
large-scale parallel systems
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Mark Van Oyen
University of Michigan United States of America
stochastic optimization
online stochastic optimization
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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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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
ai in optimization
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Tahsin Reza
University of Waterloo Canada
large-scale data systems
big data analytics
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Nicklas Werge
University of Southern Denmark Denmark
optimization algorithms
large datasets
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
distributed optimization
constrained optimization
nonlinear optimization
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Miaolan Xie
Purdue University United States of America
stochastic optimization
nonlinear optimization
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Liwei Jiang
Purdue University United States of America
stochastic optimization
nonlinear optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
multi-objective optimization
process optimization
hybrid optimization algorithms
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Manuel Lopez-ibanez
University of Manchester United Kingdom
multi-objective optimisation
combinatorial optimisation
optimisation
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Pooya Moradian Zadeh
University of Windsor Canada
optimization algorithms
big data analytics
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Sujay Sanghavi
University of Texas at Austin United States of America
large-scale networking
optimization algorithms
high-dimensional data analysis
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Fabian Duddeck
Technical University of Munich Germany
simulation optimization
material optimization
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