High Throughput Manufacturing Process Modelling Professors in Global

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Christoph Meier
Technical University of Munich Germany
high-performance computing
high-fidelity multi-physics modeling
simulation of additive manufacturing processes
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Sergey Kravchenko
University of British Columbia Canada
high-throughput manufacturing process modelling
manufacturing-informed performance simulation
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Bert Sluys
Delft University of Technology Netherlands
computational modeling of high-performance materials
modeling failure processes
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J Shanthikumar
Purdue University United States of America
production system modeling
stochastic processes modeling
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Joe Alexandersen
University of Southern Denmark Denmark
process modeling
high performance computing
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Xiaofeng Qian
Texas A&M University United States of America
high-throughput computing
multiscale materials modeling
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Mary Wells
University of Waterloo Canada
process modelling
processing models
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Reza Abbasi
University College London United Kingdom
process modelling
process design
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Said Ahzi
University of Strasbourg France
process modeling
materials processing
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Sergei Kazarian
Imperial College London United Kingdom
high-throughput analysis
materials processing
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Zoran Budimlić
Texas A&M University United States of America
high-level programming models
high performance parallel computing
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David Thomas
University of Southampton United Kingdom
high-performance computing
high-level synthesis
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Daniel Amyot
University of Ottawa Canada
business process modelling
process mining
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M. Mughal
Imperial College London United Kingdom
high-performance computing
flow control modelling
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Elizabeth Cherry
Georgia Institute of Technology United States of America
high-performance computing
modeling simulation
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Mats Andersson
Lund University Sweden
manufacturing processes
machining processes
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Sven-bodo Scholz
Radboud University Netherlands
high-performance computing
high-productivity programming tools
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Andrew Holbrook
University of California Los Angeles United States of America
high-performance computing
hierarchical modelling
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Linda Milor
Georgia Institute of Technology United States of America
statistical process modeling
circuit performance modeling
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Nan Li
Imperial College London United Kingdom
manufacturing processes
machine learning in manufacturing
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Fantahun Defersha
University of Guelph Canada
supply chain modeling
manufacturing system analysis
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