Simulation Modeling Methodology Professors in Global

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Eun-young Kang
University of Southern Denmark Denmark
software methodology
modeling
simulation
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Devendra Garg
Duke University Singapore
sensor modeling
modeling
simulation
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Hojae Yi
Pennsylvania State University United States of America
mathematical modeling
simulation
numerical modeling
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Paolo Landa
Laval University Canada
mathematical modelling
simulation
statistical methods
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J Shanthikumar
Purdue University United States of America
simulation methodology
production system modeling
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Tunga Kantarci
University of Groningen Netherlands
simulation methods
survey methodology
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Adam Darwich
Royal Institute of Technology Sweden
simulation methods
modeling
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Chunfang Lin
Queen's University Canada
simulation models
statistical modeling
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Ofosuhene Apenteng
University of Copenhagen Denmark
simulation models
statistical modelling
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Eugene Syriani
University of Montreal Canada
model-driven methodology
simulation-based design
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Egil Fischer
Utrecht University Netherlands
simulation models
mathematical modeling
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Michel Nakhla
Carleton University Canada
modeling simulation
model-order reduction techniques
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Jimmy Nielsen
Aalborg University Denmark
simulation techniques
mathematical modeling
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Beverly Gonzalez
Brown University United States of America
statistical methodology
statistical modeling
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Sze-chuan Suen
University of Southern California United States of America
simulation techniques
dynamic systems modeling
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Seong-hee Kim
Georgia Institute of Technology United States of America
application of simulation methods
optimization simulation
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Paul Mclachlan
Technical University of Denmark Denmark
modeling techniques
statistical methods
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Takeru Igusa
Johns Hopkins University United States of America
systems modeling
system dynamics modeling
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Ram Achar
Carleton University Canada
model-reduction techniques
simulation optimization
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Anis Assad Neto
University of Southern Denmark Denmark
numerical methods simulation
simulation optimization
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Gopalan Nair
University of Western Australia Australia
statistical methodology
spatial point process modeling
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