Scheduling Algorithms Professors in Global

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Sean Chester
Aarhus University Denmark
algorithms
parallel algorithms
graph algorithms
design and analysis of algorithms
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Julian Hall
University of Edinburgh United Kingdom
computational optimization
algorithm development
linear programming
optimization
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Norbert Zeh
Dalhousie University Canada
algorithms
parallel algorithms
graph algorithms
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Aditya Potukuchi
York University Canada
algorithms
algorithmic sampling
algorithmic counting
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Graham Farr
Monash University Australia
algorithms
graph algorithms
enumeration algorithm
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Tuğkan Batu
London School of Economics United Kingdom
algorithms
sublinear algorithms
streaming algorithms
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Ruth Misener
Imperial College London United Kingdom
algorithms
machine learning
computational optimization
optimization models
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Sushant Sachdeva
University of Toronto Canada
algorithms
mathematical machine learning
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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Tarek Hegazi
University of Waterloo Canada
scheduling
genetic algorithms
evolutionary algorithms
optimization
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Shahin Kamali
York University Canada
analysis of algorithms
graph algorithms
algorithm design
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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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Kalyanmoy Deb
Michigan State University United States of America
hybrid optimization algorithms
machine learning
computational optimization
process optimization
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Richard Cole
New York University United States of America
parallel algorithms
algorithm design
algorithmic economics
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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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Alemseged Weldeyesus
University of Edinburgh United Kingdom
large-scale optimization
algorithm development
linear programming
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Manolis Zampetakis
Yale University United States of America
sublinear algorithms
theoretical machine learning
optimization
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Manolis Zampetakis
Yale University United States of America
sublinear algorithms
theoretical machine learning
optimization
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Martin Andersen
Technical University of Denmark Denmark
machine learning
stochastic programming
numerical optimization
optimization
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Pontus Ekberg
Uppsala University Sweden
scheduling theory
algorithms
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Onur Ozturk
University of Ottawa Canada
scheduling theory
large scale optimization
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