Large Data Analysis Professors in Global

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Lingzhou Xue
Pennsylvania State University United States of America
large-scale optimization
high-dimensional data
network analysis
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Juxin Liu
University of Saskatchewan Canada
longitudinal data analysis
spatial data analysis
temporal data analysis
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Yuehua Wu
York University Canada
multivariate analysis
high-dimensional statistics
data mining
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Jürgen Bernard
University of Zurich Switzerland
network analysis
sports data analysis
multivariate data
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
multidimensional data analysis
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John Paisley
Columbia University United States of America
data analysis
big data
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Neil Davis
Technical University of Denmark Denmark
data analysis
big data
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Bjarne Ersbøll
Technical University of Denmark Denmark
data analysis
big data
image analysis
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Sieun Lee
University of Nottingham United Kingdom
data analysis
big data
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David Warton
University of New South Wales Australia
data analysis
high-dimensional data analysis
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Hau-tieng Wu
Duke University Singapore
data analysis
big datasets
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Greg Ganger
Carnegie Mellon University United States of America
large-scale machine learning
big data
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Yuki Shiraito
University of Michigan United States of America
data analysis
large-scale computational algorithms
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Hina Shaheen
University of Manitoba Canada
data analysis
multivariate high dimensional data analysis
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Leonardo Portes Dos Santos
University of Western Australia Australia
data analysis
big data visualization
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Andriy Miranskyy
Toronto Metropolitan University Canada
big data
large software systems
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Peter Hoff
Duke University Singapore
data analysis
multivariate analysis
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Juan Mena-parra
University of Toronto Canada
data analysis
large-scale structure
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Rajarshi Guhaniyogi
Texas A&M University United States of America
big data
functional data analysis
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Inga Maslova
University of Southern California United States of America
big data
functional data analysis
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Yuan Gao
Australian National University Australia
high-dimensional data analysis
functional data analysis
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