High Speed Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
hybrid optimization algorithms
multi-objective optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
distributed optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
machine learning optimization
constrained optimization
distributed optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
global optimization
power system optimization
distributed optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
dynamic optimization
numerical optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
high performance computing
system-level optimization
memory subsystem optimization
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Karthik Duraisamy
University of Michigan United States of America
high-performance computing
optimization
high-speed flows
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Anirudh Subramanyam
Pennsylvania State University United States of America
high-performance computing
stochastic optimization
robust optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Ahmad Afsahi
Queen's University Canada
high-performance computing
high-speed interconnects
high-performance communication
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Hossein Hashemi Doulabi
Concordia University Canada
large-scale optimization
stochastic optimization
robust optimization
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Chuan He
Linköping University Sweden
large-scale optimization
continuous optimization
decentralized optimization
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Reem Khir
Purdue University United States of America
optimization
constrained optimization
robust stochastic optimization
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Ann-brith Strömberg
University of Gothenburg Sweden
mathematical optimization
multi-objective optimization
simulation-based optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
robust optimization
optimization in machine learning
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Nathaniel Bastian
Pennsylvania State University United States of America
optimization
multiple objective optimization
computational stochastic optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
distributed optimization
high-dimensional learning
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Yan Li
Texas A&M University United States of America
dynamic optimization
stochastic optimization
robust optimization
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