Splitting Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
online algorithms
search algorithms
analysis of algorithms
approximation algorithms
offline algorithms
streaming algorithms
distributed computing
algorithm design
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Nicole Wein
University of Michigan United States of America
distributed algorithms
online algorithms
distance-estimation algorithms
dynamic algorithms
graph algorithms
parameterized algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
graph algorithms
data stream algorithms
distributed computing
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Olga Veksler
University of Waterloo Canada
image segmentation
semantic segmentation
graph algorithms
machine learning
deep learning
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Martin Andersen
Technical University of Denmark Denmark
stochastic programming
numerical methods algorithms
machine learning
mathematical programming
numerical optimization
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Debarati Das
Pennsylvania State University United States of America
clustering algorithms
approximation algorithms
string algorithms
graph algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
sublinear algorithms
dynamic algorithms
graph algorithms
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
discrete algorithms
graph algorithms
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Shahin Kamali
University of Manitoba Canada
online algorithms
graph partitioning
algorithm analysis
algorithm design
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
streaming algorithms
randomized computation
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
machine learning
stochastic optimization
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Shahin Kamali
York University Canada
graph partitioning
algorithm analysis
graph algorithms
algorithm design
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Torsten Suel
New York University Tandon School of Engineering United States of America
algorithms
distributed computation
parallel computation
experimental algorithmics
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Shahin Kamali
York University Canada
analysis of algorithms
graph partitioning
graph algorithms
algorithm design
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Eliezer Upfal
Brown University United States of America
randomized algorithms
analysis of algorithms
stochastic optimization
algorithm design
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Nicolas Loizou
Johns Hopkins University United States of America
randomized algorithms
decentralized algorithms
machine learning
large-scale optimization
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Nicolas Loizou
Johns Hopkins University United States of America
distributed decentralized algorithms
machine learning
deep learning
large-scale optimization
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Nima Anari
Stanford University United States of America
sampling algorithms
algorithms
parallel algorithms
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Paola Flocchini
University of Ottawa Canada
distributed algorithms
algorithms
distributed computing
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
online algorithms
optimization algorithms
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George Papavassilopoulos
University of Southern California United States of America
parallel algorithms
genetic algorithms
optimization algorithms
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