Algorithm Efficiency Professors in Global

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George Papavassilopoulos
University of Southern California United States of America
optimization algorithms
optimization
genetic algorithms
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Wolfgang Lehner
Aalborg University Denmark
optimization algorithms
query optimization
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Gara Pruesse
Vancouver Island University Canada
optimization algorithms
approximation algorithms
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Aleksandra Korolova
University of Southern California United States of America
optimization algorithms
algorithmic fairness
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Stefanie Jegelka
Massachusetts Institute of Technology United States of America
optimization algorithms
robustness of machine learning algorithms
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
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Kalyanmoy Deb
Michigan State University United States of America
process optimization
hybrid optimization algorithms
computational optimization
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Nisheeth Vishnoi
Yale University United States of America
algorithmic theory
approximation algorithms
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Aaron Roth
University of Pennsylvania United States of America
ethical algorithms
algorithmic fairness
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Crystal Yang
Harvard Law School United States of America
human oversight in algorithms
algorithmic fairness
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Asish Mukhopadhyay
University of Windsor Canada
algorithms
geometric optimization
approximation algorithms
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Debarati Das
Pennsylvania State University United States of America
string algorithms
approximation algorithms
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Daniel Spielman
Yale University United States of America
randomized algorithms
algorithmic foundations
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Abdullah Alelyani
University of Western Australia Australia
algorithms
energy use efficiency
scheduling optimization
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Calvino Cheng
Dalhousie University Canada
health care efficiency
laboratory quality and efficiency
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Sharene Bungay
Memorial University of Newfoundland Canada
genetic algorithms
optimization techniques
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Suvrajeet Sen
University of Southern California United States of America
optimization technologies
optimization theory
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Danupon Na Nongkai
KTH Royal Institute of Technology Sweden
approximation algorithms
quantum algorithms
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Masoud Mansoury
Delft University of Technology Netherlands
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algorithmic fairness
algorithmic bias
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Pierre Schaus
UCLouvain Belgium
anytime optimization algorithms
machine learning algorithms
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Marc Renault
University of Wisconsin United States of America
algorithm design
analysis of algorithms
online algorithms
search algorithms
approximation algorithms
offline algorithms
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