Artificial Intelligence Optimization Methods Professors in Global

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Kalyanmoy Deb
Michigan State University United States of America
process optimization
hybrid optimization algorithms
computational optimization
meta-modeling optimization
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Yashar Pourrahimian
University of Alberta Canada
optimization
mining optimization
data-driven optimization
artificial intelligence
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Kate Hong
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
anatomical methods
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Eric Kerrigan
Imperial College London United Kingdom
numerical optimization methods
dynamic optimization
control optimization
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Ruth Misener
Imperial College London United Kingdom
optimization models
computational optimization
data-driven optimization
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Ismail Ali
University of New South Wales Australia
simulation-based optimization techniques
optimization problems
combinatorial optimization
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Reda Ghanem
University of New South Wales Australia
simulation-based optimization techniques
optimization problems
artificial intelligence
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Omar El Housni
Cornell University Netherlands
optimization models
dynamic optimization
assortment optimization
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Cynthia Vinzant
University of Washington United States of America
mathematical optimization
linear optimization
combinatorial optimization
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Richard Malak
Texas A&M University United States of America
optimization
computational methods
artificial intelligence
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Retsef Levi
Massachusetts Institute of Technology United States of America
optimization
stochastic optimization
combinatorial optimization
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Damian Lampl
Concordia College United States of America
optimization
network optimization
artificial intelligence
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John Jørgensen
Technical University of Denmark Denmark
process optimization
numerical optimization
dynamic optimization
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Martin Andersen
Technical University of Denmark Denmark
optimization
numerical optimization
numerical methods algorithms
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Satish Thittamaranahalli
University of Southern California United States of America
algorithmic techniques
artificial intelligence
combinatorial optimization
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Swati Gupta
Massachusetts Institute of Technology United States of America
optimization
quantum optimization
artificial intelligence
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John Anderson
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Alexandre Jacquillat
Massachusetts Institute of Technology United States of America
integer optimization
stochastic optimization
large-scale optimization
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Satish Thittamaranahalli
University of Southern California United States of America
algorithmic techniques
artificial intelligence
combinatorial optimization
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Maysam Chamanzar
Carnegie Mellon University United States of America
computational methods
mathematical methods
statistical methods
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Shixuan Zhang
Texas A&M University United States of America
integer optimization
stochastic optimization
polynomial optimization
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