Large Scale System Optimization Methods Professors in Global

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Mahdi Mehrtash
Johns Hopkins University United States of America
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power system optimization
stochastic optimization
global optimization
distributed optimization
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Siva Maguluri
Georgia Institute of Technology United States of America
stochastic optimization
optimization
distributed optimization
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Arkadi Nemirovski
Georgia Institute of Technology United States of America
stochastic optimization
optimization theory
continuous optimization
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Jie Yuan
University of Southampton United Kingdom
large-scale nonlinear dynamical systems
computational methods
robust optimisation
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Anna Choromanska
New York University Tandon School of Engineering United States of America
optimization strategies
large data analysis
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Alexandre Bayen
University of California, Berkeley United States of America
large-scale infrastructure systems
optimization
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Dengfeng Sun
Purdue University United States of America
large-scale infrastructure systems
optimization
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Constantine Caramanis
University of Texas at Austin United States of America
large scale networks and computation
optimization
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Moses Charikar
Stanford University United States of America
efficient algorithmic techniques for processing high-dimensional data sets
efficient algorithms for computational problems in high-dimensional statistics
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Suvrajeet Sen
University of Southern California United States of America
large scale stochastic optimization
optimization technologies
optimization theory
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Retsef Levi
Massachusetts Institute of Technology United States of America
stochastic optimization
optimization
combinatorial optimization
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Nathan Kallus
Cornell University Netherlands
stochastic optimization
optimization
robust optimization
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Elad Hazan
Princeton University United States of America
stochastic optimization
optimization
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Reem Khir
Purdue University United States of America
robust stochastic optimization
optimization
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James Spall
Johns Hopkins University United States of America
stochastic optimization
optimization theory
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James Spall
Johns Hopkins University United States of America
stochastic optimization
optimization theory
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Constantine Caramanis
University of Texas at Austin United States of America
optimization
large-scale networks
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Joseph Pekny
Purdue University United States of America
optimization
simulation optimization
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Garvesh Raskutti
University of Wisconsin–Madison United States of America
optimization theory
large-scale inference
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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
process optimization
computational optimization
multi-objective optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
energy systems optimization
continuous optimization
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