Parallel Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
approximation algorithms
online algorithms
search algorithms
offline algorithms
analysis of algorithms
streaming algorithms
algorithm design
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Nicole Wein
University of Michigan United States of America
parameterized algorithms
graph algorithms
dynamic algorithms
online algorithms
distributed algorithms
distance-estimation algorithms
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Tze Low
Carnegie Mellon University United States of America
parallel programming
parallel high-performance computing
graph algorithms
machine learning
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Martin Schulz
Technical University of Munich Germany
parallel programming paradigms
parallel distributed architectures
power-aware parallel computing
tool support for parallel programming
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
sublinear algorithms
graph algorithms
dynamic 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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Sepehr Assadi
University of Waterloo Canada
massively parallel computation
sublinear algorithms
online algorithms
algorithmic graph theory
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
graph algorithms
optimization algorithms
discrete algorithms
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
randomized computation
streaming algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
graph algorithms
clustering algorithms
string algorithms
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
probabilistic randomized algorithms
algorithmics
algorithmic graph theory
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Brokoslaw Laschowski
University of Toronto Canada
brain-inspired algorithms
neural computation
machine learning
neural networks
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Sean Chester
Aarhus University Denmark
parallel algorithms
algorithms
graph algorithms
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John Reif
Duke University Singapore
parallel algorithms
randomized algorithms
graph algorithms
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Norbert Zeh
Dalhousie University Canada
parallel algorithms
algorithms
graph algorithms
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Nima Anari
Stanford University United States of America
parallel algorithms
algorithms
sampling 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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Torsten Suel
New York University Tandon School of Engineering United States of America
parallel computation
algorithms
experimental algorithmics
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Martin Schultz
Yale University United States of America
parallel architectures
parallel programming environments
algorithm design
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Krzysztof Onak
Boston University United States of America
parallel distributed systems
algorithms
sublinear-time algorithms
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Quentin Stout
University of Michigan United States of America
parallel computing
algorithms
machine learning
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