Large Scale Problem Solving Professors in Global

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Markus Pelger
Stanford University United States of America
big data problems
high-dimensional data
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Lei Ying
University of Michigan United States of America
large-scale computing systems
large-scale communication systems
large-scale graph mining
big data
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Massimo Fornasier
Technical University of Munich Germany
high-dimensional optimization
mathematical modeling
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Dante Kalise
Imperial College London United Kingdom
high-dimensional approximation
computational optimisation
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Iadh Ounis
University of Glasgow United Kingdom
big data information retrieval
efficient architectures for large-scale information retrieval systems
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Ankur Moitra
Massachusetts Institute of Technology United States of America
big data
algorithmic problems
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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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Samitha Samaranayake
Cornell University Netherlands
large-scale transportation network problems
mathematical modeling
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Guanchen Li
University of Glasgow United Kingdom
multiscale engineering
mathematical modeling
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Elizabeth Paluck
Princeton University United States of America
large-scale field experiments
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Malek Mouhoub
University of Regina Canada
constraint solving programming
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Michael Akritas
Pennsylvania State University United States of America
high-dimensional data modeling
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Abraham Bernstein
University of Zurich Switzerland
large graph data sets
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Abraham Bernstein
University of Zurich Switzerland
large graph data sets
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Reza Skandari
Imperial College London United Kingdom
large multimodal models
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Caterina Gratton
University of Illinois United States of America
large-scale brain networks
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Vinod Menon
Stanford University United States of America
large-scale brain networks
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Carla De Tomas
King's College London United Kingdom
large-scale atomistic simulation
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Gesualdo Scutari
Purdue University United States of America
distributed large-scale optimization
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Dixin Tang
University of Texas at Austin United States of America
large-scale unstructured data analysis
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Lisa Tobber
University of British Columbia Canada
large-scale experimental testing
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