Scheduling Algorithms Professors in Global

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Marc Renault
University of Wisconsin United States of America
search algorithms
online algorithms
approximation algorithms
analysis of algorithms
offline algorithms
algorithm design
streaming algorithms
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Nicole Wein
University of Michigan United States of America
online algorithms
parameterized algorithms
distance-estimation algorithms
distributed algorithms
dynamic algorithms
graph algorithms
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Kiefer
Technical University of Berlin Germany
scheduling models
stochastic online scheduling
approximation algorithms
graph algorithms
mathematical optimization
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Aaron Bernstein
New York University Tandon School of Engineering United States of America
approximation algorithms
dynamic algorithms
graph algorithms
sublinear algorithms
algorithm design and analysis
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Chaitanya Swamy
University of Waterloo Canada
scheduling
online algorithms
approximation algorithms
stochastic optimization
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Clifford Stein
Columbia University United States of America
scheduling
network algorithms
algorithm design
algorithm engineering
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Tarek Hegazi
University of Waterloo Canada
scheduling
genetic algorithms
evolutionary algorithms
optimization
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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
genetic algorithms
parallel algorithms
optimization
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Debarati Das
Pennsylvania State University United States of America
clustering algorithms
approximation algorithms
string algorithms
graph algorithms
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Elad Hazan
Princeton University United States of America
algorithms
machine learning
stochastic optimization
optimization
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Sean Chester
Aarhus University Denmark
algorithms
parallel algorithms
graph algorithms
design and analysis of algorithms
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Eliezer Upfal
Brown University United States of America
randomized algorithms
analysis of algorithms
stochastic optimization
algorithm design
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
graph algorithms
discrete algorithms
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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
machine learning
computational optimization
process optimization
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
quantum algorithms
approximation algorithms
graph algorithms
data stream algorithms
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Julian Hall
University of Edinburgh United Kingdom
computational optimization
algorithm development
linear programming
optimization
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Martin Andersen
Technical University of Denmark Denmark
machine learning
stochastic programming
numerical optimization
optimization
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Abdullah Alelyani
University of Western Australia Australia
scheduling optimization
algorithms
machine learning
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Matus Mihalak
Maastricht University Netherlands
scheduling
algorithms
optimization
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Srinivasa Gummidi
University of Southern Denmark Denmark
algorithms
optimization algorithms
online algorithms
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Harald Räcke
Technical University of Munich Germany
scheduling in parallel systems
online algorithms
efficient algorithms
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