Modern Optimization Professors in Global

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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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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
multi-objective optimization
hybrid optimization algorithms
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Ruth Misener
Imperial College London United Kingdom
optimization models
computational optimization
data-driven optimization
robust optimization
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Mahdi Mehrtash
Johns Hopkins University United States of America
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global optimization
power system optimization
stochastic optimization
distributed optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
continuous optimization
supply chain optimization
energy systems optimization
discrete optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
real-time embedded optimization
differentiable optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
discrete optimization
combinatorial optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
constrained optimization
stochastic optimization
distributed optimization
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Marina Epelman
University of Michigan United States of America
mathematical optimization
discrete optimization
integer optimization
optimization under uncertainty
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Albert Berahas
University of Michigan United States of America
machine learning optimization
constrained optimization
stochastic optimization
distributed optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
multiobjective optimization
combinatorial optimization
inverse optimization
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
multiobjective optimization
combinatorial optimization
inverse optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
dynamic optimization
numerical optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Jalal Kazempour
Technical University of Denmark Denmark
optimization
data-driven optimization
modern power systems
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Katya Scheinberg
Georgia Institute of Technology United States of America
optimization
continuous optimization
convex optimization
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Nathan Kallus
Cornell University Netherlands
optimization
robust optimization
stochastic optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
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Yinyu Ye
Stanford University United States of America
continuous optimization
dynamic optimization
discrete optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
optimization
stochastic optimization
distributed optimization
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