Multivariable Process Control Professors in Global

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Hector Budman
University of Waterloo Canada
process control
multivariate statistical methods
model predictive control
modeling control
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Reza Abbasi
University College London United Kingdom
process control
process modelling
process optimization
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Ramdhane Dhib
Toronto Metropolitan University Canada
process control
process modeling
process optimization
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Jihoon Jeong
Texas A&M University United States of America
process control
data-driven prediction model process control
process monitoring
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John Jørgensen
Technical University of Denmark Denmark
process modelling
model predictive control
process optimization
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Eric Kerrigan
Imperial College London United Kingdom
model predictive control
control optimization
multi-objective optimization
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Somnath Ghosh
Johns Hopkins University United States of America
process modeling
multi-physics modeling
multiscale modeling
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Leyla Özkan
Eindhoven University of Technology Belgium
advanced process control
predictive control
process monitoring
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Said Ahzi
University of Strasbourg France
process modeling
multiscale modeling
materials processing
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Ognjen Marjanovic
University of Manchester United Kingdom
multivariate statistical process control
model predictive control
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Barry Lennox
University of Manchester United Kingdom
multivariate statistical process control
control of batch processes
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Jules Thibault
University of Ottawa Canada
process control
process simulation
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Jie Bao
University of New South Wales Australia
process control
dissipativity theory-based process control
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Jinfeng Liu
University of Alberta Canada
process control
model predictive control
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Jakob Huusom
Technical University of Denmark Denmark
process control
model predictive control
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Jake Nease
McMaster University Canada
process control
process optimization
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Niklas Andersson
Lund University Sweden
smart process control
process automation
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Aaron Tong
University of British Columbia Canada
process control
predictive control
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Syed Imtiaz
Memorial University of Newfoundland Canada
process control
process monitoring
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James Mclellan
Queen's University Canada
process control
chemical process modeling
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Paul Van Den Hof
Eindhoven University of Technology Belgium
industrial process control
control optimization
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