Faster 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
algorithm design
offline algorithms
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Nicole Wein
University of Michigan United States of America
dynamic algorithms
online algorithms
distributed algorithms
graph algorithms
parameterized algorithms
distance-estimation algorithms
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
dynamic algorithms
approximation algorithms
sublinear algorithms
graph algorithms
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Sean Chester
Aarhus University Denmark
algorithms
parallel algorithms
graph algorithms
design and analysis of algorithms
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
discrete algorithms
graph algorithms
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
parallel algorithms
genetic algorithms
optimization
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Debarati Das
Pennsylvania State University United States of America
clustering algorithms
approximation algorithms
graph algorithms
string algorithms
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University of Sherbrooke Canada
No active positions
algorithms
deep learning
optimization
machine learning
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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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Debdeep Pati
University of Wisconsin–Madison United States of America
fair algorithms
real-time tracking algorithms
machine learning
efficient bayesian computation
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Tarek Hegazi
University of Waterloo Canada
genetic algorithms
evolutionary algorithms
optimization
neural networks
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Siamak Mehrkanoon
Utrecht University Netherlands
numerical algorithms
deep learning
optimization
neural networks
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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
process optimization
machine learning
computational optimization
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Nicolas Loizou
Johns Hopkins University United States of America
deep learning
large-scale optimization
machine learning
distributed decentralized algorithms
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Tahereh Koohi
University of New South Wales Australia
evolutionary algorithms
deep learning
machine learning
neural networks
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Nicolas Le Roux
University of Montreal Canada
deep learning
optimization
machine learning
neural networks
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Brokoslaw Laschowski
University of Toronto Canada
deep learning
brain-inspired algorithms
machine learning
neural networks
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Pascal Vincent
University of Montreal Canada
algorithmics
deep learning
machine learning
neural networks
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
optimization algorithms
online algorithms
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Nima Anari
Stanford University United States of America
algorithms
parallel algorithms
sampling algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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