Complex Stochastic Systems Professors in Global

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Muffy Calder
University of Glasgow United Kingdom
complex interactive systems
computational modelling
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Jon Sporring
University of Copenhagen Denmark
stochastic geometry
computational modeling
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Pratim Sengupta
University of Calgary Canada
complex systems education
computational modelling
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George Papavassilopoulos
University of Southern California United States of America
computational complexity
dynamic stochastic games
stochastic learning automata
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Anindya Bhadra
Purdue University United States of America
high-dimensional complex data
computational statistics
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Yee Teh
University of Oxford United Kingdom
large scale machine learning
computational statistics
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Ivan Corwin
Columbia University United States of America
stochastic growth models
probabilistic models
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James Beck
California Institute of Technology United States of America
stochastic system modeling
computational bayesian statistics
quantum stochastic mechanics
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Hina Shaheen
University of Manitoba Canada
probability stochastic processes
computational modelling
statistical machine learning
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Sham Kakade
Harvard University United States of America
large-scale learning systems
complex environments
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Nan Kong
Purdue University United States of America
computational modeling
stochastic integer programming
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Nan Kong
Purdue University United States of America
computational modeling
stochastic integer programming
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Nan Kong
Purdue University United States of America
computational modeling
stochastic integer programming
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Steven Brunton
University of Washington United States of America
control of complex systems
high-dimensional dynamical systems
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Andrew Irwin
Dalhousie University Canada
computationally intensive statistical models
statistical mathematical models
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Kemal Büyükkurt
Concordia University Canada
probabilistic decision support systems
probabilistic choice models
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Tatjana Pavlenko
Uppsala University Sweden
computational statistics
statistical machine learning
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François Caron
University of Oxford United Kingdom
computational statistics
statistical machine learning
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Alexandre Bouchard-côté
University of British Columbia Canada
computational statistics
statistical machine learning
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Shai Ben-david
University of Waterloo Canada
computational machine learning
statistical machine learning
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Khader Khadraoui
Laval University Canada
stochastic processes
high-dimensional probabilistic models
stochastic differential equations
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