Large Scale Resource Extraction Professors in Global

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Sem Borst
Eindhoven University of Technology Belgium
large-scale stochastic networks
resource allocation algorithms
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Zhenlong Li
Pennsylvania State University United States of America
geospatial big data
geospatial big data analytics
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Nanwei Wang
University of New Brunswick Canada
high-dimensional data
large deviations theory
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Yanrong Yang
Australian National University Australia
large panel data analysis
large dimensional random matrix theory
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Gregory Ganger
Carnegie Mellon University United States of America
big data analytics
resource scheduling
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Gregory Ganger
Carnegie Mellon University United States of America
big data analytics
resource scheduling
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Nathan Sturtevant
University of Alberta Canada
large-scale parallel search
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Edward Shellard
University of Cambridge United Kingdom
large-scale structure formation
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Edward Kolb
University of Chicago United States of America
large-scale structure formation
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Scott Kay
University of Manchester United Kingdom
large-scale structure formation
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Andy Garbacz
University of Wisconsin–Madison United States of America
large-scale randomized trials
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Danlu Guo
Australian National University Australia
large-sample hydrology
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Bo Peng
KTH Royal Institute of Technology Sweden
large-scale parallel systems
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Vladimir Rokhlin
Yale University United States of America
large-scale particle simulations
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Cynthia Brewer
Pennsylvania State University United States of America
multi-scale mapping
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Nick Hayward
University of Western Australia Australia
targeting large ore deposits
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Mikhail Soutchanski
Toronto Metropolitan University Canada
domain independent large scale problem solving
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Georgios Xydis
Aarhus University Denmark
resources optimization
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David Straub
McGill University Canada
energetics of large scale flow
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Oon-doo Baik
University of Saskatchewan Canada
efficient extraction
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David Zuckerman
University of Texas at Austin United States of America
randomness extraction
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