Sequential Algorithms Professors in Global

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Nicole Wein
University of Michigan United States of America
dynamic algorithms
parameterized algorithms
online algorithms
distributed algorithms
graph algorithms
distance-estimation algorithms
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
search algorithms
online algorithms
analysis of algorithms
streaming algorithms
offline algorithms
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Sharan Vaswani
Simon Fraser University Canada
sequential decision-making
algorithms
machine learning
stochastic optimization
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
randomized computation
streaming algorithms
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
discrete algorithms
optimization algorithms
graph algorithms
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
string algorithms
clustering algorithms
graph algorithms
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
data stream algorithms
graph 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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Ansgar Steland
RWTH Aachen University Germany
sequential analysis
machine learning
statistical learning
stochastic processes
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Nima Anari
Stanford University United States of America
parallel algorithms
algorithms
sampling algorithms
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John Reif
Duke University Singapore
parallel algorithms
randomized algorithms
graph algorithms
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George Moustakides
University of Patras Greece
sequential detection
statistical signal processing
machine learning
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Sean Chester
Aarhus University Denmark
parallel algorithms
algorithms
graph algorithms
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Norbert Zeh
Dalhousie University Canada
parallel algorithms
algorithms
graph 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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Mohamed Hibat-allah
University of Waterloo Canada
variational algorithms
quantum-inspired algorithms
machine learning
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Inge Gørtz
Technical University of Denmark Denmark
algorithms
approximation algorithms
graph algorithms
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Asish Mukhopadhyay
University of Windsor Canada
algorithms
approximation algorithms
graph algorithms
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
probabilistic randomized algorithms
algorithmics
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
optimization algorithms
online algorithms
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Vidya Muthukumar
Georgia Institute of Technology United States of America
sequential decision making
statistical signal processing
machine learning
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