Parallelizing Algorithms Professors in Global

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Sean Chester
Aarhus University Denmark
parallel algorithms
algorithms
graph algorithms
design and analysis of algorithms
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Inge Gørtz
Technical University of Denmark Denmark
algorithms
approximation algorithms
graph algorithms
pattern matching
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Norbert Zeh
Dalhousie University Canada
parallel algorithms
algorithms
graph algorithms
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George Papavassilopoulos
University of Southern California United States of America
parallel algorithms
optimization algorithms
genetic algorithms
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Krzysztof Onak
Boston University United States of America
parallel distributed systems
algorithms
sublinear-time algorithms
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Loek Cleophas
Eindhoven University of Technology Belgium
parallel processing
algorithm engineering
pattern matching
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Asish Mukhopadhyay
University of Windsor Canada
algorithms
approximation algorithms
graph algorithms
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Gara Pruesse
Vancouver Island University Canada
approximation algorithms
graph algorithms
optimization algorithms
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Graham Farr
Monash University Australia
algorithms
graph algorithms
enumeration algorithm
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Debarati Das
Pennsylvania State University United States of America
approximation algorithms
clustering algorithms
graph algorithms
string algorithms
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Christlinde Thielcke
Technical University of Berlin Germany
combinatorial algorithms
graph algorithms
parameterized computational complexity
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Marc Renault
University of Wisconsin United States of America
approximation algorithms
analysis of algorithms
search algorithms
online algorithms
offline algorithms
streaming algorithms
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Serkan Ayvaz
University of Southern Denmark Denmark
graph algorithms
algorithmics
machine learning
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Weijun Xie
Georgia Institute of Technology United States of America
approximation algorithms
machine learning
stochastic programming
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Travis Gagie
Dalhousie University Canada
algorithms
string algorithms
pattern matching
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Christian Jacob
University of Calgary Canada
parallel rewrite systems
genetic algorithms
evolutionary algorithms
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Christian Schulz
Heidelberg University Germany
scalable graph algorithms
machine learning
algorithm engineering
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Jonathan Shapiro
University of Manchester United Kingdom
probabilistic modeling
machine learning
evolutionary algorithms
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Mohamed Hibat-allah
University of Waterloo Canada
machine learning
variational algorithms
quantum-inspired algorithms
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Susanne Albers
Technical University of Munich Germany
efficient algorithms
online approximation algorithms
algorithm engineering
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Hak-keung Lam
King's College London United Kingdom
machine learning
genetic algorithms
chaotic synchronization
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