Data Informed Control Methods Professors in Global

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Delft University of Technology Netherlands
data driven control
learning control
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Kexue Zhang
Queen's University Canada
sampled-data control
event-triggered control
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Leyla Özkan
Eindhoven University of Technology Belgium
model-based control
predictive control
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José Candanedo
University of Sherbrooke Canada
control-oriented modeling
predictive control
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Fatema Khorassani
Boston University United States of America
data integration methods
statistical methods
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Mehrdad Ghandhari Alavijh
Royal Institute of Technology Sweden
linear control strategies
non-linear control strategies
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Frank Willems
Eindhoven University of Technology Belgium
control-oriented modeling
optimal robust control methods
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Aneesh Nunna
Technical University of Denmark Denmark
data-driven predictive methods
model predictive control
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Nooshin Salari
University of Alberta Canada
No active positions
data-driven decision-making
data-driven optimization
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Rudy Negenborn
Delft University of Technology Netherlands
distributed control
model predictive control
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Rudy Negenborn
Delft University of Technology Netherlands
distributed control
model predictive control
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Jie Cai
Purdue University United States of America
modeling control
intelligent control systems
data-driven modeling
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Patrik Rydén
Umeå University Sweden
data-driven optimization
statistical methods
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Alan Lio
Technical University of Denmark Denmark
control state estimation
model predictive control
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Yuan Li
Aalborg University Denmark
control technologies
model predictive control
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Kristin Eschenfelder
University of Wisconsin–Madison United States of America
data governance
data management
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Kai Huang
McMaster University Canada
data-driven optimization
data-driven inventory management
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Maurice Heemels
Eindhoven University of Technology Belgium
resource-aware control
networked control
control theory
model predictive control
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Hector Budman
University of Waterloo Canada
modeling control
model predictive control
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Theo Hofman
Eindhoven University of Technology Belgium
integrated design methods
model-based approaches
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Manfred Hauswirth
Technical University of Berlin Germany
information modelling
data management
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