Optimisation In Machine Learning Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
computational optimization
machine learning
meta-modeling optimization
hybrid optimization algorithms
multi-objective optimization
evolutionary multi-objective optimization
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Arie Koster
RWTH Aachen University Germany
optimization in healthcare
optimization of energy networks
robust optimization
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Arjan Habraken
Eindhoven University of Technology Belgium
adaptive optimization
topology optimization
form 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
simulation optimization
design optimization
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Fabian Duddeck
Technical University of Munich Germany
simulation optimization
material optimization
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Spyridon Pougkakiotis
King's College London United Kingdom
stochastic optimisation
large-scale deterministic optimisation
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
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Alagan Anpalagan
Toronto Metropolitan University Canada
analysis optimization
performance modelling
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Bo Peng
KTH Royal Institute of Technology Sweden
memory subsystem optimization
system-level optimization
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Martin Berggren
Umeå University Sweden
numerical optimization
computational design optimization
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Martijn Mes
University of Twente Netherlands
simulation optimization
optimal learning
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Anders Forsgren
KTH Royal Institute of Technology Sweden
optimization in cell biology
optimization systems theory
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Niels Aage
Technical University of Denmark Denmark
design optimization
topology optimization
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Thomas Stidsen
Technical University of Denmark Denmark
optimization using metaheuristics
mathematical modelling
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Karen Aardal
Delft University of Technology Netherlands
cost optimization
demand optimization
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Pascal Etman
Eindhoven University of Technology Belgium
system design optimization
model-based design optimization
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Angelos Tsoukalas
Erasmus University Rotterdam Netherlands
global optimization
optimization applications
robust optimization
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Chaithanya Bandi
National University of Singapore Singapore
risk optimization
robust 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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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
machine learning
stochastic optimization
constrained optimization
distributed optimization
nonlinear optimization
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