Data Enabled Stochastic Optimization Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
computational optimization
meta-modeling optimization
hybrid optimization algorithms
process optimization
multi-objective optimization
evolutionary multi-objective optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
data-driven algorithms
combinatorial optimization
optimization
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Bistra Dilkina
University of Southern California United States of America
stochastic optimization
discrete optimization
combinatorial optimization
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
stochastic optimization
distributed optimization
constrained optimization
optimization algorithms
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
stochastic optimization
distributed optimization
constrained optimization
machine learning optimization
derivative-free optimization
nonlinear optimization
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John Jørgensen
Technical University of Denmark Denmark
dynamic optimization
numerical optimization
process optimization
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George Papavassilopoulos
University of Southern California United States of America
stochastic learning automata
optimization algorithms
dynamic stochastic games
optimization
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Shengding Sun
London School of Economics United Kingdom
polynomial optimization
combinatorial optimization
semidefinite optimization
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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
mixed-integer optimization
ai in optimization
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Michael Patriksson
Chalmers University of Technology Sweden
stochastic mathematical programs
combinatorial optimization
non-differentiable optimization
nonlinear optimization
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Vahideh Manshadi
Yale University United States of America
stochastic optimization
data-driven optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
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Chaoyue Zhao
University of Washington United States of America
stochastic optimization
data-driven optimization
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Yan Li
Texas A&M University United States of America
stochastic optimization
dynamic optimization
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Xiuli Chao
University of Michigan United States of America
stochastic optimization
stochastic processes
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
stochastic optimization
large-scale optimization
data-driven decision making
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
polynomial optimization
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Yafei Wang
University of Alberta Canada
stochastic optimization
data-driven decision-making
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Martin Grunow
Technical University of Munich Germany
stochastic optimization
data-driven methods
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Ruiwei Jiang
University of Michigan United States of America
data-enabled stochastic optimization
stochastic optimization
discrete optimization
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Katerina Papadaki
London School of Economics and Political Science United Kingdom
stochastic optimization
discrete optimization
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