Data Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
multi-objective optimization
hybrid optimization algorithms
meta-modeling optimization
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Ruth Misener
Imperial College London United Kingdom
data-driven optimization
computational optimization
optimization models
robust optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
constrained 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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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
data-driven algorithms
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
control optimization
multi-objective optimization
numerical optimization methods
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
discrete optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
machine learning optimization data-driven algorithms
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
stochastic optimization
robust optimization
polynomial optimization
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Bissan Ghaddar
Western University Canada
optimization models
energy optimization
transportation network optimization
data analytics
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
stochastic optimization
distributed optimization
power system optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
discrete optimization
energy systems optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
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Houra Mahmoudzadeh
University of Waterloo Canada
large-scale optimization
robust optimization
data analytics
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
form optimization
topology optimization
section optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
data-driven optimization
mining optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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Mark Daskin
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
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Chaoyue Zhao
University of Washington United States of America
data-driven optimization
stochastic optimization
robust optimization
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