Statistical Process Modeling Professors in Global

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Reza Abbasi
University College London United Kingdom
process modelling
process optimization
process systems engineering
process design
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Nazim Khan
University of Western Australia Australia
statistical computing
stochastic modelling
statistical model selection
time series modelling
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Daniel Amyot
University of Ottawa Canada
business process modelling
process mining
modeling analysis
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Jeff Bilmes
University of Washington United States of America
statistical modeling
signal processing
graphical modeling
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Jeff Bilmes
University of Washington United States of America
statistical modeling
signal processing
graphical modeling
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Manfred Kronz
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
statistical modeling
data processing
statistical analysis
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Brian Adams
Penn State Harrisburg United States of America
simulation modeling
computational statistical modeling
statistical analysis
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Amin Jalali
Stockholm University Sweden
process simulation
process mining
object-centric process mining
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Hina Shaheen
University of Manitoba Canada
statistical machine learning
probability stochastic processes
computational modelling
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Stanford University United States of America
stochastic modeling
computational modeling
logical modeling
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Mikael Ersson
KTH Royal Institute of Technology Sweden
numerical modeling
process optimization
metallurgical processes
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Farzad Mousazadeh
Delft University of Technology Netherlands
dynamic process simulation
process optimization
process design
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Mathisca De Gunst
Vrije Universiteit Amsterdam Netherlands
stochastic modeling
statistical analysis
mathematical models
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Aafke Schipper
Radboud University Netherlands
statistical modeling
process-based modeling
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Xenia Miscouridou
Imperial College London United Kingdom
stochastic process modeling
statistical network modeling
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James Norris
University of Cambridge United Kingdom
statistical modeling
stochastic processes
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Mary Wells
University of Waterloo Canada
process modelling
processing models
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J Shanthikumar
Purdue University United States of America
stochastic processes modeling
production system modeling
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Mohamed Aburweis
Texas A&M University United States of America
statistical modeling
statistical machine learning
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Gopalan Nair
University of Western Australia Australia
spatial point process modeling
stochastic processes
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Jan Karlshøj
Technical University of Denmark Denmark
process modeling
data modeling
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