Optimization And Algorithms Professors in Global

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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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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
distributed optimization
constrained optimization
nonlinear optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
distributed optimization
constrained optimization
nonlinear optimization
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
approximation algorithms
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
optimization theory
algorithms
stochastic optimization
continuous 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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Dick Den Hertog
University of Amsterdam Netherlands
optimization in machine learning
linear optimization
robust optimization
nonlinear optimization
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Kent Quanrud
Purdue University United States of America
optimization
combinatorial optimization
approximation algorithms
algorithm design
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Marina Epelman
University of Michigan United States of America
mathematical optimization
integer optimization
discrete optimization
optimization under uncertainty
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Mahdi Mehrtash
Johns Hopkins University United States of America
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stochastic optimization
global optimization
power system optimization
distributed optimization
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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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Eric Kerrigan
Imperial College London United Kingdom
control optimization
dynamic optimization
multi-objective optimization
numerical optimization methods
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Eliezer Upfal
Brown University United States of America
stochastic optimization
analysis of algorithms
randomized algorithms
algorithm design
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Yinyu Ye
Stanford University United States of America
continuous optimization
dynamic optimization
discrete optimization
algorithm development
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Ignacio Grossmann
Carnegie Mellon University United States of America
supply chain optimization
continuous optimization
discrete optimization
energy systems optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
inverse optimization
multiobjective optimization
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
robust optimization
inverse optimization
multiobjective optimization
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Marc Renault
University of Wisconsin United States of America
analysis of algorithms
search algorithms
approximation algorithms
algorithm design
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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
algorithms
stochastic optimization
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