Large Scale Computational Algorithms Professors in Global

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Sepehr Assadi
University of Waterloo Canada
massively parallel computation
massive datasets
online algorithms
big data analysis
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale graph mining
large-scale communication systems
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Anna Gilbert
Yale University United States of America
massive datasets
randomized algorithms
algorithms
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Dimosthenis Pasadakis
Università della Svizzera italiana Switzerland
numerical algorithms
extreme-scale computing
high-dimensional data analysis
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Sujay Sanghavi
University of Texas at Austin United States of America
large-scale networking
optimization algorithms
high-dimensional data analysis
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Sean Chester
Aarhus University Denmark
massive datasets
parallel algorithms
algorithms
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Nicklas Werge
University of Southern Denmark Denmark
large datasets
optimization algorithms
online algorithms
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
parallel algorithms
genetic algorithms
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Nima Anari
Stanford University United States of America
sampling algorithms
parallel algorithms
algorithms
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Srinivasa Gummidi
University of Southern Denmark Denmark
optimization algorithms
algorithms
online algorithms
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
online algorithms
search algorithms
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Nicole Wein
University of Michigan United States of America
online algorithms
distributed algorithms
dynamic algorithms
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Christian Coester
University of Oxford United Kingdom
algorithms
online algorithms
learning-augmented algorithms
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Bernard Gendron
University of Montreal Canada
large scale problem solving
parallel algorithms
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Jelena Diakonikolas
University of Wisconsin–Madison United States of America
large-scale optimization
first-order optimization algorithms
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Ethan Epperly
University of California, Berkeley United States of America
large-scale machine learning
randomized quantum algorithms
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Pui-kuen Yeung
Georgia Institute of Technology United States of America
computational algorithms
massively parallel computation
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale machine learning
computational statistical machine learning
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Shivaram Venkataraman
University of Wisconsin–Madison United States of America
large scale data analysis
algorithms
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Mark Schmidt
University of British Columbia Canada
large-scale machine learning
faster algorithms
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Boris Aronov
New York University Tandon School of Engineering United States of America
computational algorithms
algorithms
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