Power Optimization Professors in Global

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Mahdi Mehrtash
Johns Hopkins University United States of America
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power system optimization
optimal power flow
global optimization
distributed optimization
stochastic optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
constrained optimization
stochastic optimization
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Chaoyue Zhao
University of Washington United States of America
robust optimization
power system planning
data-driven optimization
stochastic optimization
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Shixuan Zhang
Texas A&M University United States of America
robust optimization
integer optimization
stochastic optimization
polynomial optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
distributed optimization
constrained optimization
stochastic optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Majid Ali
Aalborg University Denmark
energy optimization
power generation
reliability optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
multi-objective optimization
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Nathan Kallus
Cornell University Netherlands
optimization
robust optimization
stochastic optimization
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Fani Boukouvala
Georgia Institute of Technology United States of America
optimization
energy efficiency
simulation-based optimization
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Arie Koster
RWTH Aachen University Germany
optimization of energy networks
robust optimization
optimization in healthcare
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
distributed optimization
stochastic optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
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Danial Davarnia
Purdue University United States of America
network optimization
global optimization
discrete optimization
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
optimization in machine learning
robust optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
optimization applications
global optimization
robust optimization
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Yan Li
Texas A&M University United States of America
dynamic optimization
robust optimization
stochastic optimization
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Chuan He
Linköping University Sweden
continuous optimization
decentralized optimization
large-scale optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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