Mathematical Simulation Methods Professors in Global

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David Eckman
Texas A&M University United States of America
simulation-optimization algorithms
stochastic simulation
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Jean Ragusa
Texas A&M University United States of America
numerical methods
multiphysics simulations
computational techniques
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Morty Yalovsky
McGill University Canada
forecasting methods
statistical methodology
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Alexander Ioannidis
Stanford University United States of America
computational techniques
deep learning methods
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Gareth Roberts
University of Warwick United Kingdom
stochastic simulation
statistical methodology
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Martin Andersen
Technical University of Denmark Denmark
numerical methods algorithms
mathematical programming
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Monique Laurent
Tilburg University Netherlands
geometric methods
algebraic methods
combinatorial methods
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Joanna Mills Flemming
Dalhousie University Canada
computational techniques
statistical methodologies
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Marius Paraschivoiu
Concordia University Canada
fluid simulations
acoustic simulations
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Changbao Wu
University of Waterloo Canada
semiparametric methods
empirical likelihood methods
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William Lee
Yale University United States of America
computer simulation
mathematical computing
molecular dynamics simulation
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Ani Eloyan
Brown University United States of America
semi-parametric methods
likelihood-based methods
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Ben Feng
University of Waterloo Canada
efficient simulation algorithms
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Richard Waterman
University of Pennsylvania United States of America
likelihood methods
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Edward Susko
Dalhousie University Canada
likelihood methods
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Richard Waterman
University of Pennsylvania United States of America
likelihood methods
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Andrew Irwin
Dalhousie University Canada
statistical mathematical models
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Emmanuel Blanchard
McGill University Canada
virtual simulations
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Marcello Seri
University of Groningen Netherlands
geometric numerical methods
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Mohamad Bayat
Technical University of Denmark Denmark
multiphysics simulations
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Vasilis Naserentin
Chalmers University of Technology Sweden
multiphysics simulations
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