Grid Optimization Professors in Global

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Peng Zhang
Stony Brook University United States of America
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microgrids
networked microgrids
software-defined smart grid
ai-enabled smart grids
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
constrained optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Ramadan El Shatshat
University of Waterloo Canada
smart grids
microgrids
stochastic optimization models
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Hossein Hashemi Doulabi
Concordia University Canada
stochastic optimization
robust optimization
large-scale optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
robust optimization
data-driven optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
robust optimization
data-driven optimization
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Majid Ali
Aalborg University Denmark
energy optimization
smart grids
microgrid optimal sizing
reliability optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
hybrid optimization algorithms
computational optimization
multi-objective optimization
meta-modeling optimization
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Yan Li
Texas A&M University United States of America
stochastic optimization
robust optimization
dynamic optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
optimization theory
continuous optimization
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Houra Mahmoudzadeh
University of Waterloo Canada
robust optimization
large-scale optimization
inverse optimization
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Yinyu Ye
Stanford University United States of America
discrete optimization
continuous optimization
dynamic optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
inverse optimization
multiobjective optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
inverse optimization
multiobjective optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
multi-objective optimization
dynamic optimization
numerical optimization methods
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Yorie Nakahira
Carnegie Mellon University United States of America
optimization
smart grid
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Guannan Qu
Carnegie Mellon University United States of America
optimization
smart grid
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Thomas Edgar
University of Texas at Austin United States of America
optimization
smart grid
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Yorie Nakahira
Carnegie Mellon University United States of America
optimization
smart grid
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