Multi Source Data Fusion Professors in Global

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Bojana Rosic
University of Twente Netherlands
multiscale analysis
data assimilation
data analysis
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Jose Guivant
University of New South Wales Australia
data fusion
stochastic data fusion
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Henrik Christensen
University of California, San Diego United States of America
information fusion
sensor fusion
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Jing Gao
Purdue University United States of America
multi-source data analysis
data stream mining
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Olivier Gevaert
Stanford University United States of America
biomedical data fusion
multi-omics data
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Eric Sevonius
Linköping University Sweden
information fusion
multi-agent systems
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Iluju Kiringa
University of Ottawa Canada
multidatabases
data sharing
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Zachary Ives
University of Pennsylvania United States of America
data integration
data provenance
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Lu Xia
Michigan State University United States of America
data integration
multi-omics data analysis
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Zachary Ives
University of Pennsylvania United States of America
data integration
data provenance
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Zachary Ives
University of Pennsylvania United States of America
data integration
large-scale data analysis
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Bareng Nonyane
Johns Hopkins University United States of America
multilevel data
high dimensional data
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Dams Lab
Technical University of Berlin Germany
data integration
distributed data analysis
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Renée Miller
University of Waterloo Canada
data integration
data analysis
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Sijing Zhou
University of Melbourne Australia
multidimensional data analysis
large-scale data mining
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Zakka Rizqi
Aalborg University Denmark
fusion optimization
multi-method simulation
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Niek Lopes Cardozo
Eindhoven University of Technology Belgium
fusion science and technology
nuclear fusion
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Xiao-qing Liu
University of Manitoba Canada
multi-omic data
multivariate analysis
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Hashim Mohamed
Carleton University Canada
sensor fusion
multi-agent systems
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Erin Neaton
University of Michigan United States of America
data collection
data analysis
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Johanna Walker
King's College London United Kingdom
data sharing
arts-data collaborations
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