Cluster Computing Professors in Global

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Guohua Yan
University of New Brunswick Canada
cluster analysis
linear clustering
hyperplane clustering
modeling clustered count data
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John Board
Duke University Singapore
cluster computing
high performance scientific computing
computer architectures
parallel processing
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Farshad Khunjush
University of Victoria Canada
cloud computing
quantum computing
parallel computing
big data processing
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Jason Nieh
Columbia University United States of America
cloud computing
mobile computing
high-performance computing
virtualization
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Robson De Grande
Brock University Canada
cloud computing
high performance computing
computer networks
large scale distributed systems
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Kui Wu
University of Victoria Canada
parallel computing
distributed computing
mobile computing
computer networks
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Bernd Dammann
Technical University of Denmark Denmark
large scale computations
scientific computing
high-performance computing
gpu computing
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Eric Darve
Stanford University United States of America
parallel computing
high-performance computing
gpu computing
machine learning
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Mi Lu
Texas A&M University United States of America
parallel computing
computer networks
distributed processing
computer architectures
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Roland Geraerts
Utrecht University Netherlands
spatial computing
high-performance computing
geometric computing
crowd simulation
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Nema Dean
University of Glasgow United Kingdom
clustering
hierarchical clustering
model-based clustering
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Ioanna Papatsouma
Imperial College London United Kingdom
clustering
robust clustering
constrained clustering
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Ki Yum
Texas A&M University United States of America
cluster computing
fault-tolerant computing
computer networks
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Ashish Dutt
Monash University Australia
clustering
mixed data clustering
machine learning
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Anne Rogers
University of Chicago United States of America
cloud computing
internet computing
quantum computing
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Matias Carrasco Kind
University of Illinois United States of America
clustering
scientific computing
machine learning
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Kyle Chard
University of Chicago United States of America
cloud computing
scientific computing
high performance computing
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B Tekinerdogan
Wageningen University Netherlands
cloud computing
parallel computing
green computing
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Dilma Da Silva
Texas A&M University United States of America
cloud computing
distributed computing
high-end computing
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Lyle Ungar
University of Pennsylvania United States of America
clustering
machine learning
distributed scheduling
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George Amvrosiadis
Carnegie Mellon University United States of America
cloud computing
high performance computing
machine learning
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