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Professors
High Dimensional Discrete Geometry
High Dimensional Discrete Geometry Professors in Global
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Professor
Jesper Sørensen
University of Copenhagen
Denmark
discrete choice models
semiparametric high-dimensional estimation
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Professor
David Thomas
University of Southampton
United Kingdom
high-performance computing
high-level synthesis
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Professor
Peng Song
Singapore University of Technology and Design
Singapore
digital 3d geometry
geometric modeling
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Professor
Nozomu Yachie
University of British Columbia
Canada
high-performance computing
high-resolution
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Professor
Alice Devillers
University of Western Australia
Australia
finite geometry
combinatorial geometry
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Professor
Gerald Wang
Carnegie Mellon University
United States of America
high-performance computing
high-energy physics
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Professor
Marta Bryan
University of Toronto
Canada
high-resolution spectroscopy
high-contrast imaging
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Professor
Bernd Dammann
Technical University of Denmark
Denmark
high-performance computing
large scale computations
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Professor
Robert Young
New York University
United States of America
quantitative geometry
metric geometry
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Professor
Roland Geraerts
Utrecht University
Netherlands
high-performance computing
geometric computing
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Professor
Lincoln Lauhon
Northwestern University
United States of America
mixed-dimensional heterostructures
low-dimensional materials
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Professor
Javier Duarte
University of California, San Diego
United States of America
geometric deep learning
high-energy physics
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Professor
Gabriel Taubin
Brown University
United States of America
applied computational geometry
geometric modeling
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Professor
Bartek Rajwa
Purdue University
United States of America
high-throughput cytometry
high-content imaging
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Professor
John Keyser
Texas A&M University
United States of America
robust geometric solid modeling
geometric computing
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Professor
Mikhail Soutchanski
Toronto Metropolitan University
Canada
mixed discrete-continuous systems
domain independent large scale problem solving
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Professor
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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Professor
Edgar Dobriban
University of Pennsylvania
United States of America
high-dimensional asymptotic statistics
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Professor
Jinling Wang
University of New South Wales
Australia
high-definition maps
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Professor
Polly Fordyce
Stanford University
United States of America
high-throughput measurements
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Professor
Zoran Budimlić
Texas A&M University
United States of America
high-level programming models
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