Multivariable Process Control Professors in Global

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Simon Mcintosh-smith
University of Bristol United Kingdom
multi-core processors
many-core processors
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Laura Genga
Eindhoven University of Technology Belgium
process mining
data-driven process analysis
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Giovanni Samaey
KU Leuven Belgium
computational multiscale methods
many-particle systems
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Saul Jacka
University of Warwick United Kingdom
stochastic control
stochastic processes
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Philip Ernst
Imperial College London United Kingdom
stochastic control
stochastic processes
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Jose Figueroa-lopez
Purdue University United States of America
stochastic control
stochastic processes
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Daniel Amyot
University of Ottawa Canada
process mining
business process modelling
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Igor Pivkin
Università della Svizzera italiana Switzerland
multiphysics modeling
multiscale modeling
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Igor Pivkin
Università della Svizzera italiana Switzerland
multiphysics modeling
multiscale modeling
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Wenbin Yu
Purdue University United States of America
multiphysics modeling
multiscale modeling
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R Pipes
Purdue University United States of America
multiphysics modeling
multiscale modeling
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Hang Xu
Concordia University Canada
multi-material additive manufacturing
multi-scale mechanics
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Petter Ögren
KTH Royal Institute of Technology Sweden
modular control systems
multi-agent systems
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Said Ahzi
University of Strasbourg France
process modeling
multiscale modeling
materials processing
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Jorge Cortes
University of California, San Diego United States of America
multi-agent coordination
systems control
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Zhan Shu
University of Alberta Canada
distributed systems control
learning-based control
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Pierre-emmanuel Jabin
Pennsylvania State University United States of America
many-particle systems
multi-agent systems
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Asaf Cohen
University of Michigan United States of America
stochastic processes
risk-sensitive control
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Stephen Smith
Carnegie Mellon University United States of America
multi-agent coordination
multi-robot coordination
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Adnan Sufian
University of New South Wales Australia
multi-scale mechanics
multi-phase mechanics
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Maria Polukarov
King's College London United Kingdom
multi-agent reinforcement learning
multi-agent systems
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