Sparse Modelling Professors in Global

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Steven Brunton
University of Washington United States of America
sparse sensing
optimal placement of sparse sensors and actuators
model reduction
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Magnus Röding
Chalmers University of Technology Sweden
statistical modeling
stochastic modeling
physical modeling
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Florentina Bunea
Cornell University Netherlands
sparsity
network modeling
statistical machine learning
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Florentina Bunea
Cornell Bowers University United States of America
sparsity dimension reduction
mixture modeling
statistical machine learning
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Benjamin Misiuk
Memorial University of Newfoundland Canada
statistical modeling
geospatial modeling
species distribution modeling
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Samir Maity
Aalborg University Denmark
imprecise modeling
predictive modeling
language modeling
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Arson Lab
Cornell University Netherlands
multi-scale modeling
numerical modeling
model reduction
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Huan Lei
Michigan State University United States of America
multi-scale modeling
model reduction
stochastic simulations
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Harsha Honnappa
Purdue University United States of America
generative modeling
stochastic models
model estimation
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Michael Kahnert
Chalmers University of Technology Sweden
aerosol modeling
inverse modeling
air pollution modeling
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Giang Tran
University of Waterloo Canada
sparse modeling
sparse optimization methods
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Trac-duy Tran
Johns Hopkins University United States of America
sparse representation
sparse recovery
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Ian Wassell
University of Cambridge United Kingdom
sparse representation data
sparse image video coding
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Line Clemmensen
Technical University of Denmark Denmark
sparse methods
statistical modeling
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Tatjana Pavlenko
Uppsala University Sweden
sparse signal detection
statistical machine learning
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Lu Wang
Toronto Metropolitan University Canada
spatial modeling
statistical modeling
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Zoltán Szabó
London School of Economics and Political Science United Kingdom
structured sparsity
statistical machine learning
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Kenneth Jackson
University of Toronto Canada
large sparse linear systems
climate modeling
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Da Zhao
University of Melbourne Australia
statistical modeling
predictive modeling
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Ajith Jayasekare
University of New South Wales Australia
spatial modeling
predictive modeling
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Daniel Laydon
Imperial College London United Kingdom
stochastic modelling
mathematical modelling
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