Statistical Process Control Professors in Global

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Hector Budman
University of Waterloo Canada
process control
modeling control
process systems engineering
model predictive control
modeling control optimization biological processes
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Reza Abbasi
University College London United Kingdom
process control
process modelling
process optimization
process systems engineering
process design
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Asaf Cohen
University of Michigan United States of America
stochastic processes
stochastic control problems
risk-sensitive control
control theory
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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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Ramdhane Dhib
Toronto Metropolitan University Canada
process control
process modeling
process optimization
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Leyla Özkan
Eindhoven University of Technology Belgium
predictive control
advanced process control
process monitoring
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Geethu Joseph
Delft University of Technology Netherlands
statistical signal processing
signal processing
control theory
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Sigurd Assing
University of Warwick United Kingdom
stochastic control systems
statistical mechanics
random processes
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Tanjin Amin
Texas A&M University United States of America
process monitoring
process security
process system engineering
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Farzad Mousazadeh
Delft University of Technology Netherlands
process optimization
dynamic process simulation
process design
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John Jørgensen
Technical University of Denmark Denmark
process modelling
process optimization
model predictive control
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Manfred Kronz
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
statistical modeling
statistical analysis
data processing
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Gopalan Nair
University of Western Australia Australia
stochastic processes
spatial point process modeling
statistical methodology
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Stefan Steiner
University of Waterloo Canada
statistical engineering
process improvement
statistical methods
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Alessandra Parisio
University of Manchester United Kingdom
stochastic constrained control
model predictive control
control engineering
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Ilya Kolmanovsky
University of Michigan United States of America
autonomous systems control
control systems
model predictive control
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Beverly Gonzalez
Brown University United States of America
statistical modeling
statistical software
statistical methodology
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Saeed Ahmed
University of Groningen Netherlands
stability control
intelligent control algorithms
control systems
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Ole Andersen
Aalborg University Denmark
statistical analysis
signal processing
control engineering
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Donald Ballance
University of Glasgow United Kingdom
control systems
model predictive control
control theory
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Stefano Galelli
Cornell University Netherlands
process-based modeling
statistical learning
control theory
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