Data Driven Reconstruction Professors in Global

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Johanna Walker
King's College London United Kingdom
data-driven innovation
data discovery
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Antonella Delmestri
University of Oxford United Kingdom
real-world data
data modelling
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Joel Karp
University of Pennsylvania United States of America
3d image reconstruction
data correction techniques
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Heather Miller
Carnegie Mellon University United States of America
data-centric programming
big data
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Haixu Wang
University of Calgary Canada
spatial data
longitudinal data
high-dimensional complex data analysis
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Ane Closter
Aarhus University Denmark
data extraction
data cleaning
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Dianne Cook
Monash University Australia
high-dimensional data
data mining
data visualization
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Pankaj Agarwal
Duke University Singapore
data structures
data mining
geometric data analysis
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James Miller
University of Michigan United States of America
data information
accident reconstruction analysis
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Mikael Hedlind
KTH Royal Institute of Technology Sweden
data models
model driven engineering
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Shamkant Navathe
Georgia Institute of Technology United States of America
data mining
data modeling
data visualization
data integration
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Ben Harrap
Australian National University Australia
data collection
data linkage
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Andreas Buja
University of Pennsylvania United States of America
high-dimensional data visualization
data visualization
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Yola Katsargyri
University of Southern California United States of America
data algorithms
big data
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Natasa Gisev
University of New South Wales Australia
data linkage
big data
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Nadine Andrew
Monash University Australia
data linkage
big data
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William Cleveland
Purdue University United States of America
data visualization
big data
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Ulf Assarsson
University of Gothenburg Sweden
volumetric reconstruction
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Erik Sintorn
University of Gothenburg Sweden
volumetric reconstruction
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Berenice Boutin
University of Amsterdam Netherlands
data-driven warfare
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Matthew Helm
University of Cambridge United Kingdom
data-driven dynamical systems
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