Metaheuristic Optimisation Professors in Global

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Michael Stingl
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
continuous optimization
topology optimization
robust optimization
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Ruth Misener
Imperial College London United Kingdom
computational optimization
optimization models
data-driven optimization
robust optimization
machine learning
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Daniel Kuhn
École Polytechnique Fédérale de Lausanne Switzerland
data-driven optimization
robust optimization
machine learning
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Shixuan Zhang
Texas A&M University United States of America
stochastic optimization
robust optimization
polynomial optimization
integer optimization
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Chuan He
Linköping University Sweden
continuous optimization
large-scale optimization
decentralized optimization
machine learning
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Alain Zemkoho
University of Southampton United Kingdom
continuous optimization
bilevel hierarchical optimization
machine learning
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Camilo Garcia Trillos
University College London United Kingdom
robust optimization
stochastic analysis
machine learning
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Dick Den Hertog
University of Amsterdam Netherlands
linear optimization
robust optimization
nonlinear optimization
machine learning
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Jeya Jeyakumar
University of New South Wales Australia
mathematical optimization
robust optimization
nonlinear optimization
machine learning
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
integer optimization
machine learning
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
integer optimization
machine learning
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Phebe Vayanos
University of Southern California United States of America
stochastic optimization
robust optimization
integer optimization
machine learning
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
machine learning
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Merve Bodur
University of Edinburgh United Kingdom
combinatorial optimization
multiobjective optimization
robust optimization
inverse optimization
machine learning
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Bartolomeo Stellato
Princeton University United States of America
mathematical optimization
differentiable optimization
large scale optimization
real-time embedded optimization
machine learning
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Siqian Shen
University of Michigan United States of America
network optimization
robust optimization
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Bo Peng
KTH Royal Institute of Technology Sweden
system-level optimization
memory subsystem optimization
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Johan Ölvander
Linköping University Sweden
simulation optimization
design optimization
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Ermin Wei
Northwestern University United States of America
network optimization
nonlinear convex optimization
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Zuomin Dong
University of Victoria Canada
real-time optimal control
design optimization
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Niels Aage
Technical University of Denmark Denmark
topology optimization
design optimization
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