Geocomputation Professors in Global

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Lars Karlsson
Umeå University Sweden
matrix computations
high-performance computing
tensor computations
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Nate Veldt
Texas A&M University United States of America
matrix computations
computational optimization
machine learning
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Eric Darve
Stanford University United States of America
high-performance computing
computational mathematics
machine learning
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Parimala Thulasiraman
University of Manitoba Canada
high-performance computing
evolutionary computation
machine learning
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Ravi Radhakrishnan
University of Pennsylvania United States of America
high-performance computing
computational algorithms
machine learning
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Anthea Monod
Imperial College London United Kingdom
geometric machine learning
applied computational algebraic geometry
machine learning
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Dongmei Chen
Queen's University Canada
spatial modeling
machine learning
geographic information system
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Vivi Anggraini
Monash University Australia
geosynthetics
geomaterials
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David Shean
University of Washington United States of America
geospatial data analysis
geomatics
geodesy
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Matthew Turk
University of Illinois United States of America
computational simulations
high-performance computing
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David Ham
Imperial College London United Kingdom
scientific computation
computational mathematics
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Hadrien Rattez
Université catholique de Louvain Belgium
geomaterials
geotechnics
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Torsten Suel
New York University Tandon School of Engineering United States of America
distributed computation
parallel computation
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Elizabeth Catlos
University of Texas at Austin United States of America
geochemistry
ai in geoscience
geochronology
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Kwang Kim
Purdue University United States of America
large-scale distributed computing
machine learning
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Andrea Nascetti
KTH Royal Institute of Technology Sweden
geospatial data
geomatics
machine learning
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Michael Sawada
University of Ottawa Canada
geomatics
machine learning
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Costas Armenakis
York University Canada
geomatics
mapping
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Lachlan Grose
Monash University Australia
geophysical data analysis
machine learning
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Panos Parpas
Imperial College London United Kingdom
computational optimization
computational mathematics
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M. Mughal
Imperial College London United Kingdom
high-performance computing
computational mathematics
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