Shared Memory Algorithms Professors in Global

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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
optimization algorithms
discrete algorithms
graph algorithms
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Vijaya Raghavendra Bollapragada
University of Texas at Austin United States of America
optimization algorithms
distributed optimization
machine learning
stochastic optimization
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Marc Renault
University of Wisconsin United States of America
search algorithms
approximation algorithms
online algorithms
streaming algorithms
offline algorithms
distributed computing
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
data stream algorithms
graph algorithms
distributed computing
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Weijun Xie
Georgia Institute of Technology United States of America
approximation algorithms
machine learning
stochastic programming
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Yaoliang Yu
University of Waterloo Canada
optimization algorithms
machine learning
distributed learning
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Irina Rish
University of Montreal Canada
optimization algorithms
machine learning
deep learning
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Torsten Suel
New York University Tandon School of Engineering United States of America
algorithms
distributed computation
experimental algorithmics
scalable information retrieval
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Zhe Zhang
Purdue University United States of America
distributed optimization
machine learning
stochastic optimization
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Marie Maros
Texas A&M University United States of America
distributed optimization
statistical learning networks
distributed computing
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Olga Veksler
University of Waterloo Canada
graph algorithms
machine learning
deep learning
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Tahereh Koohi
University of New South Wales Australia
evolutionary algorithms
machine learning
deep learning
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Ligang He
University of Warwick United Kingdom
machine learning
distributed computing
deep learning
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Daniel Ortiz Arroyo
Aalborg University Denmark
machine learning
distributed computing
deep learning
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Xiucai Ding
University of California, Davis United States of America
scalable computation
stochastic optimization
deep learning
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George Papavassilopoulos
University of Southern California United States of America
parallel algorithms
genetic algorithms
optimization algorithms
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Ali Bashashati
University of British Columbia Canada
statistical processing algorithms
machine learning
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Hyunyoung Lee
Texas A&M University United States of America
distributed algorithms
spatiotemporal algorithms
distributed shared data structures
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Mohammad Salavatipour
University of Alberta Canada
approximation algorithms
probabilistic randomized algorithms
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Alexei Bazavov
Michigan State University United States of America
parallel algorithms
molecular dynamics algorithms
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John Reif
Duke University Singapore
randomized algorithms
parallel algorithms
graph algorithms
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