Data Driven Reaction Optimization Professors in Global

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Bartolomeo Stellato
Princeton University United States of America
machine learning optimization data-driven algorithms
mathematical optimization
differentiable optimization
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Nooshin Salari
University of Alberta Canada
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data-driven optimization
data-driven decision-making
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Ruth Misener
Imperial College London United Kingdom
data-driven optimization
computational optimization
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Rodney Smith
University of Waterloo Canada
reaction dynamics
reaction kinetics
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Vivek Farias
Massachusetts Institute of Technology United States of America
data-driven decision making
dynamic optimization
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Flemming Hansen
Technical University of Denmark Denmark
molecular reaction dynamics
chemical reaction dynamics
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Teun Janssen
Delft University of Technology Netherlands
data-driven decision making
data analysis
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Thodoris Lykouris
Massachusetts Institute of Technology United States of America
dynamic optimization
data-driven sequential decision-making
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John Jørgensen
Technical University of Denmark Denmark
dynamic optimization
process optimization
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Oon-doo Baik
University of Saskatchewan Canada
reaction kinetics
process design optimization
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Claver Diallo
Dalhousie University Canada
performance optimization
design optimization
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Franca Hoffmann
California Institute of Technology United States of America
data-driven approaches
data analysis
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Raphael Idem
University of Regina Canada
reaction kinetics
reaction mechanisms
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Kelvin Ng
University of Regina Canada
data-driven methods
design optimization
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Madjid Mohseni
University of British Columbia Canada
reaction engineering
process optimization
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Fani Boukouvala
Georgia Institute of Technology United States of America
data-driven modeling
simulation-based optimization
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Arthur Miehlich
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
data-driven methodologies
mathematical optimization
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Xu Zhou
Imperial College London United Kingdom
data-driven methodologies
distributed optimization
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Albert Berahas
University of Michigan United States of America
machine learning optimization
distributed optimization
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Zukui Li
University of Alberta Canada
energy data analytics
mathematical optimization
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Carlos Domingo-felez
University of Glasgow United Kingdom
process optimization
data analysis
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