Fast Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
search algorithms
online algorithms
approximation algorithms
analysis of algorithms
streaming algorithms
offline algorithms
algorithm design
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Nicole Wein
University of Michigan United States of America
dynamic algorithms
online algorithms
graph algorithms
distributed algorithms
parameterized algorithms
distance-estimation algorithms
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Sean Chester
Aarhus University Denmark
algorithms
parallel algorithms
graph algorithms
design and analysis of algorithms
massive datasets
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
dynamic algorithms
approximation algorithms
graph algorithms
sublinear algorithms
algorithm design and analysis
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
graph algorithms
discrete algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
graph algorithms
data stream algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
graph algorithms
string algorithms
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
online algorithms
optimization algorithms
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Gunnar Martinsson
University of Texas at Austin United States of America
efficient algorithms for large data sets
fast solvers
fast multipole methods
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Norbert Zeh
Dalhousie University Canada
algorithms
parallel algorithms
graph algorithms
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Inge Gørtz
Technical University of Denmark Denmark
algorithms
approximation algorithms
graph algorithms
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Nima Anari
Stanford University United States of America
algorithms
parallel algorithms
sampling algorithms
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Asish Mukhopadhyay
University of Windsor Canada
algorithms
approximation algorithms
graph algorithms
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Lene Favrholdt
University of Southern Denmark Denmark
algorithms
on-line algorithms
graph algorithms
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Anna Gilbert
Yale University United States of America
algorithms
randomized algorithms
massive datasets
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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John Reif
Duke University Singapore
randomized algorithms
parallel algorithms
graph algorithms
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Anupam Gupta
New York University United States of America
algorithms
approximation algorithms
algorithms in uncertain environments
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
parallel algorithms
genetic algorithms
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Susanne Albers
Technical University of Munich Germany
efficient algorithms
online approximation algorithms
algorithm engineering
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Christlinde Thielcke
Technical University of Berlin Germany
exact algorithms
graph algorithms
combinatorial algorithms
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