Stochastic Network Models Professors in Global

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Nick Whiteley
University of Bristol United Kingdom
probabilistic modelling
high-dimensional dynamic stochastic systems
bayesian modelling
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Frederi Viens
Michigan State University United States of America
stochastic control
stochastic volatility
nonlinear stochastic filtering
stochastic pdes
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Khader Khadraoui
Laval University Canada
stochastic processes
stochastic differential equations
statistical theory modeling
high-dimensional probabilistic models
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
statistical pattern recognition
machine learning
probabilistic graphical models
deep neural networks
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
computational stochastic mechanics
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
computational stochastic mechanics
probabilistic multi-scale modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic modeling
computational stochastic mechanics
probabilistic multi-scale modeling
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Mircea Grigoriu
Cornell University Netherlands
stochastic calculus
stochastic differential equations
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Kavan Modi
Singapore University of Technology and Design Singapore
stochastic thermodynamics
quantum stochastic processes
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Mark Borsuk
Duke University Singapore
bayesian network modeling
mathematical modeling
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Mark Borsuk
Duke University Singapore
bayesian network modeling
mathematical modeling
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Nan Kong
Purdue University United States of America
stochastic integer programming
computational modeling
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Nan Kong
Purdue University United States of America
stochastic integer programming
computational modeling
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Nan Kong
Purdue University United States of America
stochastic integer programming
computational modeling
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Igor Vladimirov
Australian National University Australia
stochastic dynamics
stochastic robust control
quantum stochastic control
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Ji-eun Byun
University of Glasgow United Kingdom
probabilistic modelling
bayesian networks
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Wenpin Tang
Columbia University United States of America
stochastic analysis
continuous-time stochastic processes
machine learning
probabilistic ranking models
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Na Yu
Toronto Metropolitan University Canada
stochastic nonlinear dynamics
mathematical modeling
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Jeff Boisvert
University of Alberta Canada
geostatistical modeling
numerical modeling
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Luke Miller
Radboud University Netherlands
neural network modeling
computational modeling
machine learning
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Eric Xing
Carnegie Mellon University United States of America
probabilistic modeling
machine learning
statistical learning
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