Machine Learning Controls Professors in Global

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Delft University of Technology Netherlands
learning control
systems control
data driven control
control & identification
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Claudio De Persis
University of Groningen Netherlands
data-driven control
resilient control
quantized control
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Ahmed S
University of Groningen Netherlands
intelligent control algorithms
systems control
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Nikolai Matni
University of Pennsylvania United States of America
learning control systems
machine learning
control design
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Jessica Sorrell
Johns Hopkins University United States of America
machine learning
machine learning algorithms
machine learning theory
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W Mugge
Delft University of Technology Netherlands
human-machine control
motor control systems
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Oleh Kiselychnyk
University of Warwick United Kingdom
vector control
control design
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Karol Miller
University of Western Australia Australia
mechanical control systems
computer control systems
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Roberto Guglielmi
University of Waterloo Canada
model predictive control
control methods
control of infinite-dimensional systems
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Hongyang Dong
University of Warwick United Kingdom
machine learning
control theories
intelligent control
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Quan Nguyen
University of Southern California United States of America
control optimization
real-time optimization-based control
nonlinear control
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Constantino Lagoa
Pennsylvania State University United States of America
control decision systems
traffic control computer networks
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Kira Barton
University of Michigan United States of America
iterative learning control
control theory applications
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Bart De Schutter
Delft University of Technology Netherlands
optimization-based control
control large-scale networks
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Rebbecca Thien
Australian National University Australia
quantum control theory
control theory applications
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Dan Davison
University of Waterloo Canada
linear control systems
nonlinear control
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Robin Chhabra
Carleton University Canada
control of multibody systems
nonlinear control
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Declan Bates
University of Warwick United Kingdom
modeling and control of biological systems
machine learning for medical applications
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Sandip Roy
Texas A&M University United States of America
network dynamics control
control infrastructure networks
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Marcel Heertjes
Eindhoven University of Technology Belgium
feedforward learning control
nonlinear control
industrial control
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Nicolas Hudon
Queen's University Canada
nonlinear control
physics-based control
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