Big Data Computing Professors in Global

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Wen-li Wang
Penn State Behrend United States of America
big data
cloud computing
data mining
machine learning
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Andriy Miranskyy
Toronto Metropolitan University Canada
big data
cloud computing
quantum computing
large software systems
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Alex Kuo
University of Victoria Canada
big data
cloud computing
data mining
data warehousing
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Berwin Turlach
University of Western Australia Australia
big data
statistical computing
data mining
machine learning
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George Amvrosiadis
Carnegie Mellon University United States of America
big data analytics
cloud computing
high performance computing
machine learning
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Bernd Dammann
Technical University of Denmark Denmark
large scale computations
high-performance computing
gpu computing
scientific computing
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Nathaniel Bastian
Pennsylvania State University United States of America
big data analytics
statistical computing
deep learning
machine learning
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Qifan Song
Purdue University United States of America
massive data modeling
high dimensional data
deep learning
machine learning
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Euijin Choo
University of Alberta Canada
big data analytics
data mining
deep learning
machine learning
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Daniel Ortiz Arroyo
Aalborg University Denmark
big data security
deep learning
distributed computing
machine learning
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Alok Choudhary
Northwestern University United States of America
big data science
supercomputing
machine learning
scalable data mining
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Ibrahim Sabek
University of Southern California United States of America
big spatial data management
quantum computing
machine learning
data management
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Gail Kaiser
Columbia University United States of America
big data applications
data mining
machine learning
scientific computing
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Martin Werner
Technical University of Munich Germany
big geospatial data management
high performance computing
distributed computing
machine learning
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Igor Yakushin
University of Chicago United States of America
high-performance computing
machine learning
scientific computing
data analysis
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Carl Nettelblad
Uppsala University Sweden
high-performance computing
machine learning
scientific computing
data analysis
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Ian Foster
University of Chicago United States of America
data-intensive computing
distributed computing
data management
scientific computing
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John Reif
Duke University Singapore
dna computing
quantum computation
algebraic computation
optical computation
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Fengqi You
Cornell University Netherlands
data mining
computation
machine learning
scientific computing
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Matias Carrasco Kind
University of Illinois United States of America
data mining
deep learning
machine learning
scientific computing
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John Quilty
University of Waterloo Canada
data mining
deep learning
machine learning
big data applications in hydrology
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