Algorithmic Optimization Professors in Global

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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
nonlinear 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
nonlinear optimization
constrained optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
algorithms
data-driven optimization
robust optimization
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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
process optimization
hybrid optimization algorithms
multi-objective optimization
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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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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
optimization theory
continuous optimization
algorithms
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
integer optimization
robust optimization
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John Chinneck
Carleton University Canada
optimization
algorithms
nonlinear optimization
feasibility optimization
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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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Eric Kerrigan
Imperial College London United Kingdom
dynamic optimization
multi-objective optimization
control optimization
numerical optimization methods
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
global optimization
distributed optimization
power system optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
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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Panos Parpas
Imperial College London United Kingdom
mathematical optimization
computational optimization
algorithms
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Elad Hazan
Princeton University United States of America
optimization
stochastic optimization
algorithms
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Nathan Kallus
Cornell University Netherlands
optimization
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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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
large scale optimization
differentiable optimization
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Kiefer
Technical University of Berlin Germany
mathematical optimization
combinatorial optimization
algorithmic game theory
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