Ehr Optimization Professors in Global

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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
form optimization
adaptive optimization
section optimization
topology optimization
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
robust stochastic optimization
convex optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
robust optimization
global optimization
optimization applications
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Michael Stingl
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
continuous optimization
robust optimization
topology optimization
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Ignacio Grossmann
Carnegie Mellon University United States of America
energy systems optimization
continuous optimization
supply chain optimization
discrete optimization
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Chuan He
Linköping University Sweden
continuous optimization
decentralized optimization
large-scale optimization
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Swati Gupta
Georgia Institute of Technology United States of America
robust optimization
combinatorial optimization
convex optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
distributed optimization
large-scale optimization
convex optimization
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Michael Patriksson
Chalmers University of Technology Sweden
combinatorial optimization
nonlinear optimization
convex optimization
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Michael Patriksson
University of Gothenburg Sweden
mathematical optimization
combinatorial optimization
nonlinear optimization
convex optimization
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Johan Ölvander
Linköping University Sweden
design optimization
simulation optimization
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Jiajin Li
University of British Columbia Canada
optimization algorithms
continuous optimization
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Matthew Collette
University of Michigan United States of America
design optimization
hydrodynamic optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
hybrid optimization algorithms
computational optimization
meta-modeling optimization
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Fengqi You
Cornell University Netherlands
optimization algorithms
supply chain optimization
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Stefano Cipolla
University of Southampton United Kingdom
numerical optimization
continuous optimization
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Fabian Duddeck
Technical University of Munich Germany
simulation optimization
material optimization
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Jan Kronqvist
Royal Institute of Technology Sweden
optimization algorithms
ai in optimization
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