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Data Intensive Algorithms
Data Intensive Algorithms Professors in Global
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Professor
Nicole Wein
University of Michigan
United States of America
dynamic algorithms
distance-estimation algorithms
distributed algorithms
online algorithms
graph algorithms
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Professor
Gara Pruesse
Vancouver Island University
Canada
discrete algorithms
optimization algorithms
approximation algorithms
graph algorithms
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Professor
Danupon Na Nongkai
KTH Royal Institute of Technology
Sweden
data stream algorithms
quantum algorithms
approximation algorithms
graph algorithms
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Professor
Marc Renault
University of Wisconsin
United States of America
online algorithms
search algorithms
approximation algorithms
offline algorithms
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Professor
Sean Chester
Aarhus University
Denmark
massive datasets
algorithms
parallel algorithms
graph algorithms
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Professor
Bartolomeo Stellato
Princeton University
United States of America
data-driven computational tools
machine learning optimization data-driven algorithms
large scale optimization
differentiable optimization
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Professor
Debarati Das
Pennsylvania State University
United States of America
string algorithms
approximation algorithms
clustering algorithms
graph algorithms
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Professor
Nick Yakovets
Eindhoven University of Technology
Belgium
data-intensive systems
data analytics
high-performance data processing
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Professor
Aaron Bernstein
New York University Tandon School of Engineering
United States of America
dynamic algorithms
approximation algorithms
graph algorithms
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Professor
Srinivasa Gummidi
University of Southern Denmark
Denmark
optimization algorithms
online algorithms
algorithms
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Professor
Nicklas Werge
University of Southern Denmark
Denmark
optimization algorithms
large datasets
online algorithms
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Professor
Christlinde Thielcke
Technical University of Berlin
Germany
combinatorial algorithms
exact algorithms
graph algorithms
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Professor
Pierre Schaus
UCLouvain
Belgium
machine learning algorithms
data mining
discrete optimization
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Professor
Dimosthenis Pasadakis
Università della Svizzera italiana
Switzerland
numerical algorithms
high-dimensional data analysis
extreme-scale computing
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Professor
Christian Coester
University of Oxford
United Kingdom
online algorithms
learning-augmented algorithms
algorithms
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Professor
Anna Gilbert
Yale University
United States of America
massive datasets
randomized algorithms
algorithms
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Professor
Nima Anari
Stanford University
United States of America
sampling algorithms
algorithms
parallel algorithms
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Professor
John Reif
Duke University
Singapore
randomized algorithms
parallel algorithms
graph algorithms
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Professor
Alexandre Jacquillat
Massachusetts Institute of Technology
United States of America
large-scale optimization
integer optimization
data-driven decision making
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Professor
Arthur Zimek
University of Southern Denmark
Denmark
large datasets
algorithms
data mining
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Professor
Lene Favrholdt
University of Southern Denmark
Denmark
on-line algorithms
algorithms
graph algorithms
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