Optimization Uncertainty Professors in Global

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Albert Berahas
University of Michigan United States of America
stochastic optimization
constrained optimization
machine learning optimization
nonlinear optimization
distributed optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
nonlinear optimization
distributed optimization
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Marina Epelman
University of Michigan United States of America
optimization under uncertainty
mathematical optimization
discrete optimization
integer optimization
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Hossein Hashemi Doulabi
Concordia University Canada
healthcare optimization under uncertainty
stochastic optimization
robust optimization
large-scale optimization
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Mark Daskin
University of Michigan United States of America
uncertainty
mathematical optimization
discrete optimization
integer optimization
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Nathan Kallus
Cornell University Netherlands
optimization
stochastic optimization
robust optimization
decision making under uncertainty
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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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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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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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Houra Mahmoudzadeh
University of Waterloo Canada
robust optimization
inverse optimization
decision making under uncertainty
large-scale optimization
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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
numerical optimization methods
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Merve Bodur
University of Edinburgh United Kingdom
robust optimization
inverse optimization
combinatorial optimization
multiobjective optimization
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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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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
robust optimization
integer optimization
polynomial optimization
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Juergen Branke
Warwick Business School United Kingdom
multi-objective optimization
decision making under uncertainty
simulation-based optimization
bayesian optimization
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Tjark Vredeveld
Maastricht University Netherlands
uncertainty in optimization
discrete optimization
combinatorial optimization
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Gevorg Stepanyan
University of Southampton United Kingdom
optimization
uncertainty
robust optimization
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Fabricio Oliveira
Technical University of Denmark Denmark
optimization
uncertainty
robust optimization
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Igor Averbakh
University of Toronto Canada
uncertainty
network 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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Igor Averbakh
University of Toronto Canada
uncertainty
network optimization
discrete optimization
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