Algorithmic Multigrid Methods Professors in Global

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Peng Zhang
Stony Brook University United States of America
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microgrids
networked microgrids
ai-enabled smart grids
software-defined smart grid
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Monique Laurent
Tilburg University Netherlands
algebraic methods
geometric methods
combinatorial methods
algorithms
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Peter Falb
Brown University United States of America
algebraic geometric methods
numerical methods
multivariable linear systems
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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
multi-objective optimization
machine learning
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Wolfgang Wall
Technical University of Munich Germany
numerical methods
multi-field problems
machine learning
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Serkan Ayvaz
University of Southern Denmark Denmark
graph algorithms
algorithmics
machine learning
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Stephen Haben
University of Oxford United Kingdom
optimization methods
smart grid
clustering methods
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Lene Favrholdt
University of Southern Denmark Denmark
graph algorithms
on-line algorithms
algorithms
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Shiva Tavallaey
KTH Royal Institute of Technology Sweden
model-based methods
data-driven methods
machine learning
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Miguel Bessa
Brown University United States of America
numerical methods
multi-scale modeling
machine learning
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Miguel Bessa
Brown University United States of America
numerical methods
multi-scale modeling
machine learning
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Mattias Sandberg
Royal Institute of Technology Sweden
computational methods
analytical numerical methods
machine learning
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Ilias Diakonikolas
University of Wisconsin–Madison United States of America
algorithms
machine learning
algorithmic game theory
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Aurélien Desoeuvres
Aalborg University Denmark
optimization methods
machine learning
path planning algorithms
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Maria Balcan
Carnegie Mellon University United States of America
algorithms
machine learning
algorithmic game theory
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Moez Ali
Queen's University Canada
automated machine learning
machine learning
automated modeling
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Mattias Sandberg
KTH Royal Institute of Technology Sweden
numerical methods
machine learning
analytical methods
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Markus Buehler
Massachusetts Institute of Technology United States of America
multiscale modeling
machine learning
molecular modeling methods
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Linus Ericsson
University of Glasgow United Kingdom
automated machine learning
machine learning
multi-modal learning
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Emmanouil-vasileios Vlatakis-gkaragkounis
University of Wisconsin–Madison United States of America
algorithms
machine learning
algorithmic game theory
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Michael Kearns
University of Pennsylvania United States of America
algorithmic trading
machine learning
algorithmic game theory
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