Domain Independent Large Scale Problem Solving Professors in Global

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Bartolomeo Stellato
Princeton University United States of America
large scale optimization
differentiable optimization
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Jia-huai You
University of Alberta Canada
declarative problem solving
computational problem solving
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Gilbert Bernstein
University of Washington United States of America
differentiable programming
high-performance domain-specific languages
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Vladimir Vlassov
KTH Royal Institute of Technology Sweden
large-scale distributed systems
scalable deep learning
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Mehrdad Mahdavi
Pennsylvania State University United States of America
large-scale optimization
high-dimensional learning
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Sijing Zhou
University of Melbourne Australia
large-scale data mining
multidimensional data analysis
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Sujay Sanghavi
University of Texas at Austin United States of America
high-dimensional data analysis
large-scale networking
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Tahsin Reza
University of Waterloo Canada
large-scale data systems
unstructured data systems solutions
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Nicolas Loizou
Johns Hopkins University United States of America
large-scale optimization
distributed decentralized algorithms
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Andrea Vandin
Technical University of Denmark Denmark
large-scale performance analysis
domain specific languages
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Lingzhou Xue
Pennsylvania State University United States of America
large-scale optimization
high-dimensional data
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Dimosthenis Pasadakis
Università della Svizzera italiana Switzerland
high-dimensional data analysis
extreme-scale computing
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Pierre Flener
Uppsala University Sweden
constraint solving
discrete optimization
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Markus Buehler
Massachusetts Institute of Technology United States of America
large-scale atomistic modeling
multi-scale simulation
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Debarghya Mukherjee
Boston University United States of America
high-dimensional data analysis
domain generalization
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale communication systems
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Wei-biao Wu
University of Chicago United States of America
high-dimensional inference
dependent random variables
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Moses Charikar
Stanford University United States of America
efficient algorithmic techniques for processing high-dimensional data sets
efficient algorithms for computational problems in high-dimensional statistics
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George Voneiff
Texas A&M University United States of America
large datasets
large-scale production data analysis
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Jose Guivant
University of New South Wales Australia
high dimensional estimation problems
dynamic programming
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Carl Wassgren
Purdue University United States of America
multi-scale modeling
discrete element method modeling
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