Heterogeneous Computing Algorithms Professors in Global

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Nicolas Loizou
Johns Hopkins University United States of America
randomized algorithms
decentralized algorithms
large-scale optimization
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Aditya Potukuchi
York University Canada
algorithms
algorithmic counting
algorithmic sampling
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Boris Aronov
New York University Tandon School of Engineering United States of America
computational algorithms
algorithms
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Tathagata Srimani
Carnegie Mellon University United States of America
heterogeneous integration
probabilistic computing
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Taylor Brysiewicz
Western University Canada
randomized algorithms
numerical algorithms
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Andreas Galanis
University of Oxford United Kingdom
randomized algorithms
algorithms
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Leslie Goldberg
University of Oxford United Kingdom
randomized algorithms
algorithms
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Santosh Vempala
Georgia Institute of Technology United States of America
randomized algorithms
algorithms
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Michael Rabin
Harvard John Paulson School of Engineering and Applied Sciences United States of America
randomized algorithms
algorithms
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Anna Gilbert
Yale University United States of America
randomized algorithms
algorithms
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Elchanan Mossel
Massachusetts Institute of Technology United States of America
randomized algorithms
algorithms
computational complexity
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Chris De Sa
Cornell University Netherlands
stochastic algorithms
high-performance machine learning
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Chris De Sa
Cornell University Netherlands
stochastic algorithms
high-performance machine learning
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Gunnar Martinsson
University of Texas at Austin United States of America
modeling heterogeneous materials
efficient algorithms for large data sets
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Ivan Kryven
Utrecht University Netherlands
randomized algorithms
random approximation algorithms
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Dana Randall
Georgia Institute of Technology United States of America
randomized algorithms
distributed algorithms
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Christopher Musco
New York University Tandon School of Engineering United States of America
randomized algorithms
theory of algorithms
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Paola Flocchini
University of Ottawa Canada
algorithms
distributed algorithms
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Anupam Gupta
New York University United States of America
algorithms
algorithms in uncertain environments
approximation algorithms
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Matt Mcquinn
University of Washington United States of America
algorithms
theoretical computation
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Panos Parpas
Imperial College London United Kingdom
algorithms
computational optimization
mathematical optimization
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