Numerical Process Modeling Professors in Global

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Stratos Pistikopoulos
Texas A&M University United States of America
computational tools for process design
process optimization
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P. Vaidyanathan
California Institute of Technology United States of America
number theoretic signal processing
network signal processing
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Maria Papathanasiou
Imperial College London United Kingdom
computer modelling
bioprocess modelling
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Devendra Garg
Duke University Singapore
modeling
sensor modeling
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J.george Shanthikumar
Purdue University United States of America
production systems modeling and analysis
simulation stochastic processes
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Simón Díaz Quezada
Aalborg University Denmark
modeling
optimization of process systems
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Lucien Brush
University of Washington United States of America
computational materials processing
materials modeling
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Karim Ahmed
Texas A&M University United States of America
modeling
multi-scale modeling
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Huan Lei
Michigan State University United States of America
numerical schemes
multi-scale modeling
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Matthew Ives
University of Oxford United Kingdom
complex systems modelling
energy systems modelling
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Reza Fazeli
Australian National University Australia
system dynamics modeling
energy modeling
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Alan Yuille
Johns Hopkins University United States of America
computational models
mathematical models
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Peter Cronemyr
Linköping University Sweden
process management
process maturity models
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Loek Cleophas
Eindhoven University of Technology Belgium
parallel processing
data processing
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Huan Lei
Michigan State University United States of America
numerical schemes
multiscale modeling
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Martin Andersen
Technical University of Denmark Denmark
numerical optimization
numerical methods algorithms
mathematical programming
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Mohsen Moghaddam
Georgia Institute of Technology United States of America
computational models
human modeling
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Kenneth Jackson
University of Toronto Canada
numerical air quality modeling
numerical methods
climate modeling
numerical weather prediction
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Helene Thomsen
Aarhus University Denmark
data processing
prediction modeling
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Niels Rømer
University of Southern Denmark Denmark
mathematical models
stochastic processes
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Peter Mccullagh
University of Chicago United States of America
regression processes
stochastic processes
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