Irregular Data Structures Professors in Global

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Andres Arrieta
Purdue University United States of America
programmable structures
adaptive structures
structural nonlinearity
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Mark Ward
Purdue University United States of America
data structures
random structures
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Ekaterini Ioannou
Tilburg University Netherlands
unstructured data
data uncertainty
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Chad Schafer
Carnegie Mellon University United States of America
complex data structures
high-dimensional data
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Brad Solomon
University of Illinois United States of America
data structures
discrete structures
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Sean Chester
Aarhus University Denmark
data structures
massive datasets
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
data structures
theoretical databases
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Hua Shen
University of Calgary Canada
data heterogeneity
missing data
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Dainis Zegners
Erasmus University Rotterdam Netherlands
information asymmetries
data analysis
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Tahsin Reza
University of Waterloo Canada
unstructured data systems solutions
large-scale data systems
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Markus Pelger
Stanford University United States of America
big data problems
high-dimensional data
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Peng Ding
University of California, Berkeley United States of America
contaminated data
missing data
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George Voneiff
Texas A&M University United States of America
unconventional formations
large datasets
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Alfred Hero
University of Michigan United States of America
data analysis
anomaly detection
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Arman Sabbaghi
Purdue University United States of America
missing data
massive data
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Erin Neaton
University of Michigan United States of America
data analysis
data collection
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Juan Mena-parra
University of Toronto Canada
data analysis
large-scale structure
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Frank Pijpers
University of Amsterdam Netherlands
data analysis
data collection
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Anna Wedenborg
Technical University of Denmark Denmark
data analysis
high-dimensional datasets
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Nicola Carboni
University of Illinois United States of America
linked data
data infrastructure
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Scott Baden
University of California, San Diego United States of America
irregular data structures
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