Partial Differential Models Professors in Global

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Björn Stinner
University of Warwick United Kingdom
partial differential equations
nonlinear partial differential equations
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Björn Stinner
University of Warwick United Kingdom
partial differential equations
nonlinear partial differential equations
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Ivan Kryven
Utrecht University Netherlands
partial differential equations
nonlinear partial differential equations
stochastic differential equations
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Barbara Wohlmuth
Technical University of Munich Germany
partial differential equations
predictive modelling
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John Hunter
University of California, Davis United States of America
nonlinear partial differential equations
nonlinear hyperbolic partial differential equations
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George Moridis
Texas A&M University United States of America
semi-analytical models
analytical models
hybrid-analytical models
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Qiang Liu
Purdue University United States of America
dynamic structural models
discrete choice models
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Jun Shao
University of Wisconsin–Madison United States of America
nonlinear models
linear models
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Roger Ghanem
University of Southern California United States of America
probabilistic multi-scale modeling
probabilistic modeling
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Doug James
Stanford University United States of America
physically based modeling
reduced-order physics models
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Carl Wassgren
Purdue University United States of America
discrete element method modeling
multi-scale modeling
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Sathish Marimuthu
University of Glasgow United Kingdom
computational modeling
mechanical modeling
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Stanford University United States of America
stochastic modeling
computational modeling
logical modeling
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Edward Cripps
University of Western Australia Australia
probabilistic modeling
spatio-temporal models
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Tan Bui-thanh
University of Texas at Austin United States of America
model-constrained scientific deep learning algorithms
reduced-order modeling
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Michele Guindani
University of California, Irvine United States of America
nonparametric bayesian models
bayesian modeling
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Mikael Hedlind
KTH Royal Institute of Technology Sweden
data models
model driven engineering
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Fangxin Fang
Imperial College London United Kingdom
geophysical models
predictive modeling
model reduction
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Chris Cahill
Michigan State University United States of America
hierarchical modeling
bayesian modeling
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André Longtin
University of Ottawa Canada
physiological modelling
stochastic dynamical systems
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