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Efficient Algorithms For Large Data Sets
Efficient Algorithms For Large Data Sets Professors in Global
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Professor
Nicole Wein
University of Michigan
United States of America
dynamic algorithms
online algorithms
distributed algorithms
graph algorithms
distance-estimation algorithms
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Professor
Sepehr Assadi
University of Waterloo
Canada
massive datasets
online algorithms
big data analysis
sublinear algorithms
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Professor
Sean Chester
Aarhus University
Denmark
massive datasets
algorithms
graph algorithms
parallel algorithms
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Professor
Debarati Das
Pennsylvania State University
United States of America
clustering algorithms
string algorithms
approximation algorithms
graph algorithms
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Professor
Gara Pruesse
Vancouver Island University
Canada
optimization algorithms
discrete algorithms
approximation algorithms
graph algorithms
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Professor
Danupon Na Nongkai
KTH Royal Institute of Technology
Sweden
data stream algorithms
approximation algorithms
quantum algorithms
graph algorithms
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Professor
Aaron Bernstein
New York University Tandon School of Engineering
United States of America
dynamic algorithms
approximation algorithms
graph algorithms
sublinear algorithms
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Professor
Marc Renault
University of Wisconsin
United States of America
online algorithms
search algorithms
approximation algorithms
analysis of algorithms
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Professor
Nicklas Werge
University of Southern Denmark
Denmark
large datasets
optimization algorithms
online algorithms
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Professor
Srinivasa Gummidi
University of Southern Denmark
Denmark
optimization algorithms
online algorithms
algorithms
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Professor
Anna Gilbert
Yale University
United States of America
massive datasets
randomized algorithms
algorithms
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Professor
Lene Favrholdt
University of Southern Denmark
Denmark
on-line algorithms
algorithms
graph algorithms
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Professor
Jiaqi Gu
Arizona State University
China
No active positions
efficient computing
efficient ai hardware & algorithm
ml algorithms
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Professor
Sujay Sanghavi
University of Texas at Austin
United States of America
optimization algorithms
high-dimensional data analysis
large-scale networking
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Professor
Nima Anari
Stanford University
United States of America
sampling algorithms
algorithms
parallel algorithms
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Professor
Christlinde Thielcke
Technical University of Berlin
Germany
exact algorithms
combinatorial algorithms
graph algorithms
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Professor
Asish Mukhopadhyay
University of Windsor
Canada
algorithms
approximation algorithms
graph algorithms
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Professor
George Papavassilopoulos
University of Southern California
United States of America
optimization algorithms
genetic algorithms
parallel algorithms
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Professor
Panagiotis Charalampopoulos
King's College London
United Kingdom
string algorithms
algorithms
planar graph algorithms
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Professor
Inge Gørtz
Technical University of Denmark
Denmark
algorithms
approximation algorithms
graph algorithms
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Professor
Lei Ying
University of Michigan
United States of America
large-scale computing systems
large-scale graph mining
big data
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