Clustering Professors in Global

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Guohua Yan
University of New Brunswick Canada
linear clustering
cluster analysis
hyperplane clustering
modeling clustered count data
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Chung-horng Lung
Carleton University Canada
cloud computing
networks
distributed computing
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Siva Maguluri
Georgia Institute of Technology United States of America
cloud computing
data centers
queueing theory
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Yifang Ban
KTH Royal Institute of Technology Sweden
machine learning
urbanization
deep learning
flooding
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Felix Agyemang
University of Manchester United Kingdom
machine learning
urbanization
deep learning
neural networks
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Torben Damgaard
University of Southern Denmark Denmark
cluster development
managing networks
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Computer Vision
RWTH Aachen University Germany
tracking
self-localization
machine learning
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Alexandre Graell Amat
Chalmers University of Technology Sweden
caching
distributed computing
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Sankaran Iyer
University of New South Wales Australia
tracking
deep learning
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Greg Kesden
Carnegie Mellon University United States of America
cloud computing
networks
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Gregory Kesden
Carnegie Mellon University United States of America
cloud computing
networks
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Gengrui Zhang
Concordia University Canada
cloud computing
databases
blockchains
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Chen Feng
University of British Columbia Canada
cloud computing
blockchains
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Manzhu Yu
Pennsylvania State University United States of America
cloud computing
deep learning
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Maryna Sydorova
University of Bern Switzerland
cloud computing
deep learning
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Craig Gelowitz
University of Regina Canada
cloud computing
machine learning
deep learning
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Abdullah Alelyani
University of Western Australia Australia
cloud computing
machine learning
deep learning
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Nour Moustafa
University of New South Wales Australia
cloud computing
machine learning
deep learning
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Yuan Zhong
University of Chicago Booth School of Business United States of America
cloud computing
data centers
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Gregory Ganger
Carnegie Mellon University United States of America
cloud computing
resource scheduling
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Gregory Ganger
Carnegie Mellon University United States of America
cloud computing
resource scheduling
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