Queueing Professors in Global

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Greg Plaxton
University of Texas at Austin United States of America
scheduling
clustering
sorting
caching
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Xiuli Chao
University of Michigan United States of America
queueing
queuing theory
scheduling
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Ziv Scully
Cornell University Netherlands
queueing systems
scheduling
machine learning
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Mark Van Oyen
University of Michigan United States of America
queueing networks
machine learning
supply chain
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J Shanthikumar
Purdue University United States of America
queueing theory applications
scheduling
sequencing
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Lyle Ungar
University of Pennsylvania United States of America
clustering
machine learning
distributed scheduling
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Allan Larsen
Technical University of Denmark Denmark
vehicle scheduling
timetabling
crew scheduling
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Professor
University of Sherbrooke Canada
No active positions
machine learning
decision-making
mapping
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Martin Vinck
Radboud University Netherlands
machine learning
synchronization
learning
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Dezong Zhao
University of Glasgow United Kingdom
computing
decision making
learning
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Karima Dyussekeneva
University College London United Kingdom
machine learning
forecasting
decision making
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J Shanthikumar
Purdue University United States of America
machine learning
supply chain
logistics
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David Lemm
Edinburgh College of Art United Kingdom
mapping
walking
drawing
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Jay Mcclelland
Stanford University United States of America
decision making
learning
reading
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Gabriel Zayas-cabán
University of Wisconsin–Madison United States of America
queueing
scheduling
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Yiqiang Zhao
Carleton University Canada
queueing networks
queueing theory
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Raj Srinivasan
University of Saskatchewan Canada
queueing networks
queueing theory
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Yichuan Ding
University of British Columbia Canada
queueing
decision making
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J.george Shanthikumar
Purdue University United States of America
queueing theory
scheduling
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Stijn De Vuyst
Ghent University Belgium
queueing theory
scheduling
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George Shanthikumar
Purdue University United States of America
queueing theory
scheduling
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